Morph

Morph has evolved into Squadbase!Visit our new site📣 Introducing SquadbaseInternal AI Apps:Fast, Secure, PerformantPython framework + hosting with built-in authentication, data connectors, CI/CD, and RBAC.$ pip install morph-dataStart buildingGo to docsBacked byOverviewBuild AI apps and deploy them on a secure server in minutes, not weeks.Connect to business data stored in BigQuery or Snowflake, build data processing using OpenAI API and ML models in Python, create beautiful screens in Markdown, and share them with your team via URL. Comes pre-equipped with advanced security.BuildLaunch our Python framework in 1 minute.Infinite extensibility.With Morph's Python framework, you can launch a project with a single command and start building your app right away. You can freely add Python and React packages to build the data app you truly need.PythonProcess your data in Python. Build data apps using the power of the ecosystem.Customize AIBuild custom AI processes using the LLM API. Bring a refined UX to your AI workflows.ComponentsSimply place pre-made components to complete your interactive AI app, or write your own in Markdown.$ pip install morph-dataGo to docsDeployA deployment environment accessible only to your team. Role and permission management included.Data applications require a secure deployment environment to connect to internal data and use important API keys. Morph comes with a prepared environment that can be shared via URL but is not publicly accessible on the internet.Data ConnectorSecurely connect to internal data. Easy-to-build while enforcing fine-grained access restrictions.Role-based Access ControlDetailed permission management with built-in role settings. No complicated implementation necessary.Start buildingGo to docsData ConnectorsTransform your data into an interactive dashboard. Connect anything as long as it has an API.PostgreSQLDatabaseSnowflakeDatabaseBigQueryDatabaseSalesforceCRM, MarketingIntercomMarketingLinearProductivityFind moreFeaturesMaintainabilityBuilt on cloud-based VS Code for maximum stability and maintainability.FlexibilityFreely install libraries for MDX and Python for your particular needs.Data GovernanceVisualizing the flow of SQL and Python processes on the canvas allows you to monitor data lineage.Data MartMorph comes with built-in PostgreSQL, which can be used as a data mart to organize and store acquired data out of the box.SharingData applications built on Morph can be shared with the team just via a simple URL.Git ManagementCode built in Morph can be managed as a Git repository, preventing confusion even in collaborative work with multiple people.Scheduled ExecutionSQL and Python processes built on Morph can be automated by setting up scheduled runs, keeping your data up-to-date completely hassle-free.SecurityMorph prioritizes data security and complies with SOC2 Type 1.PricingGrow with your teamFree$0/monthFor early stage data teamsUp to 1 UserUp to 5 ProjectGithub integrationPro$15/monthFor professional data teamsEverything in FreeTeam collaborationMore projects deploymentLocal LLM deployment with Ollama --- Morph has evolved into Squadbase!Visit our new siteChangelogOur latest updates and changesFollow us on XSubscribe newsletterAllCloudOpen SourceNew Squadbase Agent2026-03-23Cloud After a month of intensive development, the Squadbase team has rebuilt Squadbase AI from the ground up. The new agent is faster and more accurate than ever. It also handles task routing more intelligently — understanding what you need and getting there more efficiently.New Data Tab — Context Layer2026-03-23Cloud Your browser does not support the video tag. The Data tab in the Editor has been significantly upgraded. Business logic created by the agent during data analysis and dashboard tasks — SQL queries, script functions, and more — is now organized and accessible in one place. Once created, this logic is automatically reused in future tasks, keeping your analysis consistent and transparent while helping the agent work more efficiently. The agent also now captures important knowledge from your conversations — term definitions, analytical intent, goals — and stores it as Project Knowledge automatically. Together, these changes transform Squadbase from a data analysis editor into a context layer that deeply understands your data and objectives.OpenAI Integration Now Available2026-03-23Cloud Added OpenAI as a data source. With AI connectors, you can easily embed AI capabilities — like chat interfaces and natural language queries — directly into your dashboards. You can add OpenAI from the Data tab in the Editor.Snowflake PAT and Passphrase Support2026-03-23Cloud Snowflake connections now support Programmatic Access Tokens (PAT) and passphrases for key-pair authentication using an encrypted private key. This means you can connect without sharing passwords, making Squadbase a better fit for environments with strict security requirements.BigQuery OAuth Support2026-03-23Cloud You can now connect to BigQuery using OAuth authentication. No more managing service account keys — just a faster, more secure way to get started with your data. We'll continue expanding OAuth support to more connectors going forward.App Layout Update2026-03-23Cloud We've refreshed the overall app layout and navigation. The home screen has a new design with a cleaner layout for the getting started guide and project list. The project creation flow is now a full-screen step-by-step experience that guides you from data source selection through connection, exploration, and editor launch. The project detail page has been removed in favor of a simpler, direct path from project to editor.Team Plan Now Available2026-02-12Cloud You can now upgrade to the Team plan directly from the Portal. Pricing: $75/month (includes 1 Creator account) $75 per additional Creator account Features: Project-level permission control Set member roles (Creator / Viewer) individually for each project Custom domain support Configure custom domains for each project Audit logs View and export up to 90 days of operation history by category in CSV format Increased Squadbase DB capacity First 10GB free, $3/GB for additional usage (auto-billed) Up to 50 viewers included For more details, please visit our pricing page.Automatic Project Knowledge Generation2026-02-04Cloud Your browser does not support the video tag. When creating a new project, you can now answer a few simple questions and provide supplementary information to have AI automatically generate both the project title and project knowledge. Project knowledge serves as a critical information source that's referenced across all subsequent AI tasks. When your data source is an Excel or CSV file, the system analyzes your actual data before generating the project knowledge.kintone integration now available2026-02-04Cloud Added kintone as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.Revamped Editor2026-01-28Cloud Squadbase's Editor has received a major overhaul. We've reorganized complex elements to deliver a more intuitive experience. Automatic Database Creation from Excel/CSV Your browser does not support the video tag. Just upload an Excel or CSV file, and Squadbase AI handles preprocessing, data cleansing, and database creation automatically. When decisions are needed—like resolving inconsistent formatting or table structure—AI asks you directly. This means dashboards with time-series data or regular updates can now be built by simply handing over a file. Suggested Next Actions Your browser does not support the video tag. When Squadbase AI completes a task, it now suggests next actions. This lets you kick off a new task without typing, or quickly try ideas you hadn't even considered. Threads Threads are now displayed at the top level of the chat area. You can start a new thread and move on to your next task—even while a previous chat is still running. Status badges let you see the state of each thread at a glance. Data Source Management Managing data sources during dashboard development is always a chore. The new Data Sources tab gives you a clear overview of connected sources and makes adding new ones a breeze.API Key Authentication & Official FastAPI Support2025-06-24CloudSquadbase now supports API Key authentication for accessing your deployed applications. Previously, while we supported secure app publishing by safely authenticating full-stack frameworks like Streamlit and Next.js, implementing server-side applications with frameworks such as FastAPI required separate deployments to AWS or Google Cloud. This was a challenge because it prevented users from fully benefiting from Squadbase's deployment experience when they wanted to use common backend processes across multiple applications. This new feature makes it possible to extract common processes into server-side applications, enabling teams to operate larger-scale applications. Access to applications via API Key Official support for FastAPI as a framework in squadbase.yml Of course, deployments using Dockerfiles still allow for the deployment of other server-side frameworks and API Key access. squadbase.yml for FastAPI # squadbase.yml version: '1' build: framework: fastapi runtime: python3.11 package_manager: uv entrypoint: main:app How to Create and Access API Keys Creating API Keys is straightforward through the Squadbase dashboard. When you create an API Key, you can specify the teams and projects it can be used with in detail. Since you can issue multiple API Keys for a single account, managing them by project ensures secure inter-app communication. Airtable integration now available2026-01-28Cloud Added Airtable as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.AWS Athena integration now available2026-01-28Cloud Added AWS Athena as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.Redshift integration now available2026-01-28Cloud Added Redshift as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.Databricks integration now available2026-01-28Cloud Added Databricks as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.Wix Stores integration now available2026-01-28Cloud Added Wix Stores as a data source. Once connected, the MCP server is automatically configured, so you can start working right away.Add MySQL as a Connector2026-01-07Cloud We’ve added a new MySQL connector. When you connect via the connector, the MCP server is automatically configured so you can get started right away.Project Duplication2026-01-21Cloud You can now duplicate projects from the project card view. The following items are carried over to the new project: Source code System Environments + Environment Variables Data Sources Squadbase DB (schema definition) Squadbase AI Suggestions2026-01-28Cloud Your browser does not support the video tag. Click the "Create AI Suggestion" button on the thread list screen, and Squadbase AI will explore your data sources and dashboards to suggest what analysis to tackle next.Chat with Squadbase DB2026-01-06Cloud Squadbase AI can now connect to Squadbase DB. This means you can complete an end-to-end workflow entirely in chat—clean up uploaded CSV/Excel files, load the data into Squadbase DB, and build a dashboard from it. When you create a database in Squadbase DB, the appropriate MCP server is automatically configured.Get Started with a Guided Tutorial Project2026-01-06Cloud We’ve added a guided tutorial project to help you learn the end-to-end workflow of building dashboards with Squadbase. In the tutorial, you’ll upload a spreadsheet, prepare the data, and build a dashboard step by step—while picking up practical vibe-coding skills like data preparation and context management along the way. You can create a tutorial project from the Project Creation screen.AI Credit Limits Moved to a Rate-Limited Model2025-12-25Cloud Your browser does not support the video tag. We’ve changed how AI Credit usage is limited — moving from a fixed monthly cap to a rate-limited model. Previously, if you used up your credits partway through the month, you had to wait until the next month to use them again. With the new time-based limits, usage automatically opens up again within at most 24 hours, so you can resume work without a long interruption.Connections Auto-Configure Agents and Support Multiple per Connector2025-12-25Cloud When you create a new connection from a connector, Squadbase now automatically passes the appropriate MCP servers and other dashboard implementation details to the agent. You can also create multiple connections from the same connector—for example, connecting several Google Analytics properties to a single dashboard. Existing connections will continue to work as they are, but we recommend creating new connections via the connector-based flow.Dashboard Templates2025-12-25Cloud Your browser does not support the video tag. We’ve added templates that help you start new projects with the right setup from day one. You can now choose a template tailored to your data source or use case, making it easier to build practical dashboards without starting from scratch. We currently offer templates for major data sources such as Google Analytics, Snowflake, and BigQuery — with more on the way.Language-Aware UI2025-12-25Cloud Squadbase now updates the product UI based on the language you select in your Portal settings. At this stage, Japanese is the first fully localized experience. For all other language choices, the interface remains in English as a common default across locales.Dashboard Mode Unified with Thinking Mode2025-12-25Cloud Dashboard Mode, previously offered as a dedicated mode for dashboard implementation, has been merged into Thinking Mode. When using Auto Mode, tasks that require deeper reasoning will now be automatically routed to Thinking Mode.Knowledge for Squadbase AI2025-12-17Cloud We’ve added a new Knowledge feature that lets you teach Squadbase AI project-specific context. From the Settings tab in the Editor, you can define shared instructions for the project, and from your personal settings in the Portal you can configure preferences such as language and time zone. By registering data source descriptions, business logic, and frequently used aggregation patterns as Knowledge, you can avoid repeating the same explanations in every chat and get more accurate, consistent answers from the AI.Automatic Chat History Compaction2025-12-17Cloud Your browser does not support the video tag. When a thread grows long, it can overload the AI’s context window and degrade performance. To address this, Squadbase AI now automatically summarizes older parts of the conversation. The chat display in the app remains unchanged, while the context passed to the AI is compacted in the background. This keeps responses stable and accurate even for long-running tasks and extended threads, without requiring any manual cleanup from the user.AI Context for Dashboard Error Logs2025-12-17Cloud You can now include dashboard error logs as context for AI chat. By passing full error messages and stack traces to the AI, it can more accurately understand what went wrong and suggest concrete next steps for investigation and fixes. Even for complex issues, you can point the AI directly to the relevant log entries from chat, making it easier to identify root causes and significantly improving troubleshooting efficiency.Rollback to Previous Versions2025-12-17Cloud You can now undo changes and restore previous versions of your work. All revision history is preserved, including versions you roll back from, so you can safely return to an earlier state without losing any history.Auto Mode2025-12-17Cloud We’ve added an Auto Mode that automatically switches between the General, Think, and Fast modes. Auto Mode analyzes each user prompt in real time and selects the most suitable mode, enabling a smoother dashboard-building experience without needing to manually change modes.Google Analytics Connection2025-12-12Cloud Support for connecting to Google Analytics is now available. You can set environment variables, configure the MCP server, and install required packages directly from chat, allowing you to start building dashboards immediately.New AI Modes2025-12-11Cloud We’ve added new AI modes that allow users to control how the AI behaves based on their goals. These modes fall into two main categories: conversational modes and task-oriented modes. Conversational Modes General – A balanced mode offering strong reasoning, speed, and cost efficiency. Fast – A speed-optimized mode suitable for simple tasks. Thinking – A high-reasoning mode designed for complex tasks. Task-Oriented Modes Dashboard – Optimized for implementing dashboards, especially when adding pages or charts. This mode provides a strong balance of speed and cost efficiency tailored for dashboard development. Excel/CSV – Designed for cleansing and preparing data from uploaded Excel or CSV files. It offers high performance and cost efficiency for spreadsheet-based data processing. Context Management for Squadbase AI2025-12-11Cloud Your browser does not support the video tag. We’ve updated the chat input UI to allow explicit management of the context passed to Squadbase AI. You can now more intuitively and clearly specify which files or data the AI should reference. In addition, you can select UI components directly from the preview app and make them available as context for the AI. To use these features, you will need to update your project template. Please update it via "Update template" in the toolbar. UI Update for File Uploads2025-12-11Cloud Your browser does not support the video tag. Squadbase allows you to upload Excel, CSV, and Jupyter Notebook files as data sources. To make file handling more intuitive and interactive, we’ve updated the user interface. With the new UI, you can upload a file from the chat and then switch to the Data tab, where your uploaded data and your conversation with Squadbase AI are displayed side by side. This layout enables a more interactive and seamless data preparation experience.Access Settings Directly from the Editor2025-12-11Cloud We have moved the following configuration items from the Portal screen to the Editor screen. Outbound IPs Git Repository Database Environments Implement Dashboard Mode2025-12-03Cloud We’ve introduced Mode as a new parameter that controls how the AI agent behaves. When sending a chat request, you can now specify a mode to tailor the agent’s actions to your goal. This release includes the following two modes, with more coming soon: General — A flexible mode suitable for a wide range of tasks. The AI agent follows your instructions to execute actions based on your prompts. Implement Dashboard — Optimized for creating new dashboard pages and analytical charts. This mode streamlines everything from dashboard design to execution. All Connections Can Now Be Configured via Chat2025-12-03Cloud Previously, chat-based setup was only available for BigQuery, Snowflake, and PostgreSQL. With this update, every Connection can now be fully configured through chat, enabling a faster and more conversational workflow. Supported connection types Database MySQL BigQuery Snowflake PostgreSQL AI OpenAI Anthropic Google AI (Gemini) SaaS Hubspot Attio Stripe Slack Vector Database Pinecone Object Storage AWS S3 View the Latest Updates from the “What’s New” Panel2025-12-03Cloud Your browser does not support the video tag. You can now easily stay informed about Squadbase’s latest features and improvements directly from the “What’s New” panel. Access it anytime via the bell icon in the sidebar to browse recent releases and update details.Buy Additional AI Credits2025-12-02Cloud Your browser does not support the video tag. You can now purchase AI Credits in units of 100 / 500 / 1,000 credits. We have also added an Auto-Charge feature that automatically purchases credits when the remaining balance reaches a configurable threshold. The threshold can be freely adjusted based on your operation needs, enabling stable usage even as team demand increases. The Purchase History page now allows you to review and manage both manual and automatic credit purchases. Credit purchase operations can only be performed by users with Admin permissions.Manage Key Actions from Squadbase AI Chat2025-11-26CloudYou can now perform major actions—such as setting up data sources and publishing applications—from the chat interface instead of the Editor. Additionally, when you make a natural-language request like “I want to see the time-series trend of revenue by location,” the system automatically plans and executes the entire workflow, including SQL generation and dashboard creation. Your browser does not support the video tag. With this update, the Task feature has been removed.Repository Switching2025-11-26CloudYou can now seamlessly switch between Managed Repository (managed by Squadbase) and Linked Repository (connected to GitHub). In the Settings page, use the “Switch to Managed Repository” or “Connect to GitHub” buttons to toggle between configurations. Component Selector2025-11-17CloudWe’ve added the Component Selector, allowing you to select any component directly from the app preview and give instructions through chat. Your browser does not support the video tag. You can now reference charts and tables on the screen as they are, making it easier to request additional analysis, modify visualizations, or inspect the underlying SQL. Examples: “Add gender and age as axes to this chart and visualize it as a bar graph.” “Show me the SQL used in this chart.” By interacting with components as you see them, you can enjoy a smoother and more intuitive conversational analytics experience.Vibe Coding Platform for BI (GA)2025-10-28CloudSquadbase has become a Vibe Coding Platform for BI. All features previously offered in the Technical Preview are now generally available to all users. Task In data analysis workflows, ensuring the accuracy of data aggregation is critical — far more so than in typical web or app development. While creating a beautiful UI matters, verifying that the logic produces the intended results is the foundation of trustworthy analytics. This GA release introduces the Task system to support that process. Each step required for analysis is defined as an individual task, allowing users to complete the necessary validation without complex instructions for AI. By executing tasks in order, users can easily build reliable dashboards with minimal manual work. Dashboards from Excel, CSV, and Jupyter The GA version adds the ability to automatically generate dashboards from files such as Excel, CSV, and Jupyter notebooks. When a file is uploaded, Squadbase AI automatically preprocesses the data, prepares it for analysis, and builds the initial dashboard. Users can then update or extend the dashboard at any time using additional prompts. Long-Term Memory and Business Knowledge Squadbase AI now features a long-term memory system that learns and remembers business terms and context from previous user interactions. This allows users to have natural, context-aware conversations with the AI and receive insights based on accumulated knowledge. The Editor also includes an internal knowledge database that stores and refines user-specific information, enabling the AI to become more accurate and efficient the more it’s used. Through long-term memory and active communication with connected data sources via MCP, Squadbase AI autonomously plans and executes the steps required to build dashboards. Free Viewer Licenses Vibe Coding aims to empower everyone to become a dashboard creator. We believe that anyone involved in business decision-making should be able to explore and understand data directly. To support this vision, Viewer licenses are now free.This change allows dashboards created by teams to be shared more widely across organizations, promoting truly data-driven decision-making at every level.Vibe Coding Platform for BI (Technical Preview)2025-09-25CloudVibe Coding Platform for BI is now available as a Technical Preview, introducing a new way to “build dashboards with words.” This release adds the Editor, enabling users to connect data and create dashboards directly through natural language prompts.. Editor The new Editor enables end-to-end dashboard creation and sharing directly in the browser. Squadbase AI builds dashboards in real time using leading frameworks such as Next.js, Streamlit, and Django. Users can view the process live, give additional instructions, and make adjustments as the dashboard is generated. No local development setup is required — dashboards can be collaboratively created, updated, and securely shared with the team in one click. Data Connections and MCP Integration The Editor includes pre-defined connectors for major SaaS applications and databases, allowing data to be fetched in real time. Through integration with the MCP server, the AI deeply understands each data structure and automatically generates high-accuracy SQL based on prompt instructions. This enables instant visualization and analysis without the need to manually specify data schemas or query details. Official Django Support2025-09-24CloudDjango is now officially supported on Squadbase. Django is one of the most powerful and popular choices for building rich web applications in Python. With Squadbase, deploying a Django app takes just a single configuration file. Here is an example of squadbase.yml for Django. # squadbase.yml version: '1' build: framework: django runtime: python3.11 package_manager: uv entrypoint: my_project.asgi:application Django Dashboard Starter Template Along with official support, we’ve also added a Django starter template to help you quickly get started building dashboards on Squadbase. App Templates Released - Multiple Updates2025-09-03CloudApp Templates Released We’ve added CRM Starter / Dashboard Starter templates to make it easier to start new projects. Both Next.js and Streamlit starter templates are available. From the dashboard, you can select a template, automatically clone it to your GitHub repository, and deploy to Squadbase in one step. More frameworks and template types will be added over time. Build & Deploy Settings from the GUI Previously, build and deployment settings had to be configured by writing a squadbase.yml file. With this update, you can now manage build and deployment settings directly from the Setting tab of each project page in the dashboard. This allows you to configure frameworks and cloud settings without preparing a YAML file. Email Notifications for Deployments & Invitations We’ve added email notifications for important Squadbase events to help you stay on top of your projects. Notifications are sent when: A deployment is triggered by a Git push A deployment succeeds or fails You are invited to a project You can manage these notifications from your account settings. Deprecation of Connection Feature for Morph As previously announced, the Connection feature (Project > Settings) has been deprecated in this release. The dashboard entry points have been removed, and new connections can no longer be created via the UI. However, existing APIs remain available for current users.Microsoft Entra ID login is now available.2025-08-25CloudIn addition to GitHub, Google accounts, and email login, you can now sign in with your Microsoft account. This makes Squadbase easier to use in enterprise environments and ensures secure login aligned with your organization’s account management policies. Multi-Environment Deployments2025-05-26CloudSquadbase now supports multi-environment deployments. Previously, you could deploy to only a single environment, but now we've introduced "Production" and "Preview" environments by default. Additionally, you can create as many custom environments as needed. Multi-environment deployment is essential when running applications in production. By deploying features from "Staging" or "feature/" branches into separate environments, developers can collaborate easily without worrying about the production environment. Link GitHub branches to each environment using exact or wildcard matching. Log monitoring is available across all environments. User analytics are supported only in the Production environment. The Preview environment automatically tracks all branches not linked to any specific environment. Check out the resources below to get started: 📖 Blog Post – Learn how Multi-Environment Deployments simplify your workflow. 📚 Documentation – Dive deeper into the setup and capabilities. Shareable Links per Branch and Commit From this release onwards, every deployment generates shareable URLs for each environment, branch and commit. Developers can review the impact of their changes in real-time, isolated environments. You can find each shareable URL in the deployment details section of your deployments list. Launch Week - Day5 April, 20252025-05-02CloudAI App Showcase Squadbase has just launched an AI App Showcase page to highlight the real-world potential of AI-powered applications. Through two sample apps—one built with Streamlit and the other with Next.js—you’ll get a hands-on sense of how AI can transform internal workflows. Check out the Showcase page here → https://www.squadbase.dev/en/showcase/ Sales Coach AI Chat A Streamlit-based coaching chatbot that pulls in Markdown files stored in your project’s codebase alongside meeting notes ingested from your CRM (Attio). By feeding it the right context, this chatbot offers tailored advice to salespeople and can be fine-tuned to mirror your own sales processes. AI Analyst for GA4 A Next.js-powered data-analysis chat app connected to BigQuery with your Google Analytics data. Ask a question, and the AI generates the necessary Python analysis code, runs it safely on a virtual machine, and returns the results in real time. We’ve chosen E2B for the secure execution environment.Launch Week - Day4 April, 20252025-05-01CloudCollaborate and Iterate AI-powered coding agents are ushering in an era of rapid, custom internal app creation—but true impact comes from running those apps in production and continuously iterating on them. To bridge that gap, we’ve built collaboration features for the operational phase. AI-driven scaffolding that jump-starts your app Automated deployments via Git integration Unified runtime and access logs tied to user identities Automated log analysis for actionable insights In-app feedback channels linked directly to developers In this blog, we share each features in detail. User Authentication & Role Management Project roles can be defined per deployed app, using arbitrary strings. These roles are primarily consumed in code to control data access and feature permissions. Log Collection & Monitoring Runtime and access logs are automatically collected and made searchable via the dashboard. This enables quick troubleshooting and helps you uncover insights for app optimization. User Analytics Squadbase combines its built-in authentication and logging features to analyze and visualize user activity, giving you actionable analytics right out of the box. Feedback Collection Squadbase can automatically inject a feedback comment box into deployed apps. Team members can submit feedback directly, and all responses are aggregated in the dashboard for developers to review and act on. Launch Week - Day3 April, 20252025-04-30CloudDeploying Next.js on Squadbase Squadbase supports Next.js, the React-based full-stack web application framework. Vercel is typically the primary hosting environment for Next.js due to its excellent developer experience and high-performance infrastructure. However, Vercel may not always be ideal, especially when restricting public access and providing app access only to specific organizational users. Squadbase launches production-ready infrastructure for internal business apps and all its best practices—with a single click. In this blog, we share how to make the most of Squadbase’s features when working with Next.js. Launch Week - Day2 April, 20252025-04-29CloudDeploying Streamlit on Squadbase Squadbase supports Streamlit, a framework for building full-stack web applications with Python. Streamlit’s architecture makes UI updates instantaneous and coding straightforward, but production deployment still poses challenges. Standing up a robust environment often means stitching together ten or twenty AWS or GCP services—work that quickly burdens any dev team. Squadbase launches production-ready infrastructure—and all its best practices—with a single click. In this blog, we share how to make the most of Squadbase’s features when working with Streamlit. Launch Week - Day1 April, 20252025-04-28CloudIntroducing Squadbase, a New Cloud Platform for AI Apps Today we officially opened Squadbase, a cloud platform focused on the safe, internal operation of AI applications. Push code written in Streamlit, Next.js, LangChain, Mastra, or the Vercel AI SDK to Git and, within minutes, your app will be live at an internal-only URL. Behind the scenes, user authentication, RBAC, audit logs, and usage analytics are all wired up automatically. Anyone can build line-of-business apps, and once deployed, those apps keep improving through AI. That vision is the heart of Squadbase. In this blog, we share the story behind the development of Squadbase, outline our vision, and explain why a new type of cloud platform is essential in today's evolving technological landscape. v0.3.1 Release2025-04-25Open SourceWhat’s changed 🛠 Maintenance Updated the type for AWS and GCP in the deployment section of morph_project.yml. Fixed vulnerabilities reported by Dependabot alerts by updating affected dependencies. Changed the API base URL from morph-data.io to squadbase.dev. Update - March 24, 20252025-03-24CloudWhat’s changed 🚀 New Features Plan Updates: Free Plan now allows inviting up to 5 users with Viewer permissions. Pro Plan users can invite additional Viewer-permission users for $7 per user. Users can now select cloud deployment targets (AWS, GCP) and configure CPU and memory resources. Added support for deploying Streamlit applications to Morph Cloud. Added support for multipart/form-data in the deployment environment. 🐛 Bug Fixes Fixed an issue where certain environment variable updates were not fully applied. Fixed a bug causing incomplete log details from the build server. Fixed display-related bugs during user invitations. Resolved pagination issues when the number of invited application members exceeded a certain limit. Corrected an issue where the latest morph-data package version was always selected during builds. Fixed a bug causing multiple unintended project creations. 🔧 Improvements Enhanced build performance by reducing snapshot frequency during Docker builds. Improved user experience when deploying from the dashboard. Improved build performance by incorporating frontend code builds directly into Docker build processes. v0.3.0 Release2025-03-24Open SourceWhat's changed 🚀 New Features Enhanced File-Based Routing: Now supports layout components and error components. Expanded morph_project.yml Capabilities: Allows specifying cloud deployment targets (AWS, GCP), memory, and CPU resources. Default Dockerfile Deployment: Supports deployments using a default Dockerfile template when no Dockerfile is present. Streamlit Support: Enables deployment of Streamlit apps via morph_project.yml alongside Morph framework applications. Component Updates: Split LLM component into Chat and CanvasChat. Added new Trigger component. Added new If component. Added new Modal component. 🔧 Improvements Added support for @shadcn/ui-compatible UI library. Improved project structure allowing users to customize vite.config.ts. 🛠 Maintenance Added frontend build commands to the initial Dockerfile template. Updated morph_project.yml template (current version defined as version: '1'). Update - March 7, 20252025-03-07Cloud🚀 New Features GitHub Login & Automatic Deployment via GitHub Integration Users can now login to Morph Cloud using their GitHub accounts. By integrating with GitHub, deployments can be performed automatically without the need for manual setup of CI/CD or using morph deploy via CLI. Deploying Local LLMs with Ollama With Ollama, users can deploy local LLMs such as deepseek-r1, llama3.2, phi4, and qwen on the Morph platform. This allows for the development of AI applications utilizing LLMs while ensuring data privacy and security. 🛠 Maintenance Stopped New Built-in PostgreSQL Instances The built-in PostgreSQL feature will no longer be supported after the end of March. As a result, the option to create new instances has been removed.v0.2.1 Patch Release2025-03-12Open SourceWhat’s changed 🛠 Maintenance Automatically generate a lock file immediately after running morph new when using uv or poetry. v0.2.0 Release2025-03-07Open SourceWhat’s changed 🚀 New Features Added uv as a package manager. 🐛 Bug Fixes Fixed code display in chat cell Fixed the display of compilation errors during chat execution. Fixed async function could not be used in Python functions. Fixed environment variables outside morph func were not updated when executing Python functions in a local environment. Fixed a bug where locally installed packages were mistakenly used in cloud environment. 🔧 Improvements Improve morph deploy: Prompt users to override environment variables Improved streaming functionality: Now possible to use yield [string] for streaming processing without the stream_chat function. Enhanced compilation logic to provide more detailed logs. 🛠 Maintenance Remove deprecated timezone manager functionality Removed access to the built-in database using the MORPH_BUILTIN_DB slug. Deprecated the result_cache_ttl mechanism and caching mechanism. Modified morph serve to output backend API specifications when executed. Update starter template. 🔗 https://github.com/morph-data/morph/releasesv0.1.10 Patch Release2025-02-21Open SourceWhat’s changed 🐛 Bug Fixes Fixed morph deploy didn’t work on MacOS and Linux. v0.1.9 Patch Release2025-02-21Open SourceWhat’s changed 🐛 Bug Fixes Fixed an issue when passing State to loadData() and built-in components. Fixed an issue when passing State to and . Fix the styles of the component. Fixed morph deploy didn’t work on Windows. Fixed an issue where Plotly and Matplotlib charts did not render properly when using on Windows. v0.1.8 Patch Release2025-02-17Open SourceWhat’s changed 🐛 Bug Fixes Fixed an issue with streaming output in and . Migration Guide Dockerfile Update: Improved Streaming for and Components 🔗 https://docs.morph-data.io/docs/en/advanced/migration-guide#morph-0-1-7-to-0-1-8Update - February 14, 20252025-02-14CloudWhat’s changed 🐛 Bug Fixes Fixed environment-specific morph deployment failures. Fixed binary file response failures in project pages. v0.1.7 Patch Release2025-02-14Open SourceWhat’s changed 🔧 Improvements Added an API for reading and writing data from MDX files Added a component that allows customization of HTML metadata Changed MDX titles to be automatically set as the HTML Added a /static directory for hosting static files v0.1.6 Patch Release2025-02-13Open SourceWhat’s changed 🐛 Bug Fixes Fixed an error occurring in the execution environment after morph deploy in v0.1.5. 🔧 Improvements Expanded flexibility of Python dependency packages. v0.1.5 Patch Release2025-02-12Open SourceWhat’s changed 🐛 Bug Fixes Fixed bugs in morph serve and morph compile on Windows Fixed a runtime bug in the starter template when using DuckDB v1.2.0 🔧 Improvements Parsing Github table format in LLM chat 🛠 Maintenance Removed the SQL Agent page from the starter template as its content has been migrated to the "Quick Start" section in the docs Temporarily removed the morph_lib.ai library to avoid dependency conflicts in the SDK v0.1.3 Patch Release2025-02-07Open SourceWhat’s changed 🚀 New Features MDX: Supports tag output from reasoning models like OpenAI o3-mini and Deepseek-r1. 🐛 Bug Fixes Correct pyproject.toml Generation in morph new Command for Poetry Projects Fixed the morph config command to work in directories where morph_project.yml does not exist. Fixed a bug where the profile specified in morph_project.yml was not being loaded. Fixed a bug where running files in the app started with morph serve would result in an error if the output contained NaN or NaT values. 🔧 Improvements Improved rendering performance of component 🛠 Maintenance Added .mock_user_context.json to starter_template Update - January 31, 20252025-01-31CloudWhat’s changed 🚀 New Features Added public release settings for the app Added activity display feature for project creation and successful deployment Added usage history display feature for built-in DB for Pro plan and above 🐛 Bug Fixes Fixed multiple project role inputs Fixed developers couldn't invite project members Fixed project update time wasn't being updated 🔧 Improvements Display member icons in the project list Display member icons and available connector icons in project details v0.1.2 Patch Release2025-01-31Open SourceWhat’s changed 🚀 New Features MDX: Added component. You can now quickly build an AI chat app. Python: Added the stream_chat function to morph_lib.stream. CLI: Added the morph context command to display cloud user information. CLI: The morph new command now prompts users to select a Python version (3.9, 3.10, 3.11, 3.12). 🐛 Bug Fixes UI: Fixed an issue where some UI elements appeared in dark mode in the cloud-hosted environment. CLI: Removed the project_id setting check when running morph config. CLI: Fixed a bug where type errors occurred when saving Parquet files during morph run execution. 🔧 Improvements MDX: Added a table of contents to pages. MDX: If export const title = is not specified, the first heading in the page is automatically used as the title. CLI: Added a warning when the specified --profile section exists in the morph config command. CLI: Updated the morph new template to include RBAC functionality, Chat, and other components. Update - January 27, 20252025-01-27CloudWhat's Changed 🚀 New Features Access control for individual members on created projects Role assignment for members within projects Permission management for using Database/SaaS connectors per project Execution log overview with filtering by date and time Display of deployment logs Fine-grained control for issuing API keys on a per-user basis Project search functionality Granular permission settings for members within teams 🔧 Improvements Enhanced performance and stability through infrastructure upgrades 🛠 Maintenance API key issuance changed from team-level to user-level Closing of the cloud editor feature Closing of the built-in PostgreSQL REST API feature Suspension of the job scheduling feature v0.1.1 Release2025-01-24Open SourceWhat's Changed 🚀 New Features Introduced an Admin Page for data pipeline visualization. Implemented the new morph deploy command for more seamless deployments. Added role parameters to context.user_info for role based access control. Added new components and defineState API. 🐛 Bug Fixes Corrected the formatting of Snowflake account identifiers. 🔧 Improvements Enabled Poetry interpreter in the morph new command. Optimized the morph serve command with caching and DataFrame previews. 🛠 Maintenance Removed Scheduled Jobs functionalities. Deprecated and removed the morph sync command. 🔗 https://github.com/morph-data/morph/releases/tag/v0.1.0 🔗 https://github.com/morph-data/morph/releases/tag/v0.1.1v0.0.4 Patch Release2025-01-17Open SourceWhat's Changed 🐛 Bug Fixes Fix readme quick start 🔧 Improvements Improve alias not found error message 🛠 Maintenance Remove utils/file_upload.py from stater_template Add contribution guide 🔗 https://github.com/morph-data/morph/releases/tag/v0.0.4Update - January 10, 20252025-01-10CloudWhat's Changed 🔧 Improvements In Viewer mode, "Jobs" tab now allows you to check logs for scheduled executions. 🐛 Bug Fixes Fixed an issue in the scheduled_jobs section of morph_project.yml where wildcard usage for days in CRON expressions was not working. v0.0.3 Patch Release2025-01-10Open SourceWhat's Changed 🚀 New Features Feature: morph version flag 🐛 Bug Fixes fix: run with sql connection fix: run sql with connection on local 🛠 Maintenance Add Issue & PR templates, code_of_conduct.md link: https://github.com/morph-data/morph/releases/tag/v0.0.3v0.0.2 Patch Release2024-12-19Open SourceWhat's changed Fixes 🐛 add default base url to fix a bug in the morph config command. link: https://github.com/morph-data/morph/releases/tag/v0.0.2Launch Week #2 Update2024-12-16CloudLaunch Week #2 updates. LLM Component New Component for Pages Added the LLM component to build LLM apps like chat and text generation. Docs Added Streaming Function to Python SDK Added morph_lib.stream.create_chunk to return function results as a text streaming format. Docs Link: https://www.morph-data.io/blog/llm-component-launch-week-2 AI Functions New Helper Functions for AI Integration Added shorthand functions to simplify AI usage. Added text_to_sql function. Docs Added text_to_matplotlib function. Docs Added text_to_plotly function. Docs Added text_to_html function. Docs Added text_to_markdown function. Docs Link: https://www.morph-data.io/blog/ai-functions-launch-week-2 Open-Source Framework An open-source version of the Morph framework is now available for local use. Github repository Integrated SQL, Python, and Pages frameworks into a single framework. Enabled morph serve command to launch data apps in development mode locally. Enabled morph sync command to deploy locally built data apps to the cloud. Link: https://www.morph-data.io/blog/open-source-framework-launch-week-2 Viewer Mode Added a mode to display data apps built with Morph in view-only mode. Link: https://www.morph-data.io/blog/viewer-mode-launch-week-2 Other Updates New Integrations Added Added MS SQL Server as a connection option for SQL Connection. Scheduled Execution Support The scheduling feature, previously available only in the cloud version, can now be configured in the framework via morph_project.yml. Docs Link: https://www.morph-data.io/blog/other-updates-launch-week-2Public Launch2024-10-28CloudThis is the first public version of Morph. Features Workspace Page Morph AI Data Connection Templates More details can be found in the Launch Week #1 article. --- Morph has evolved into Squadbase!Visit our new siteBlogAllInsightLaunch WeekOur cloud platform has been migrated to Squadbase.devMorph's cloud platform has migrated to Squadbase.dev. We offer a delivery platform that supports more frameworks, improved performace, and better integration with AI.2025-04-28Framework Update v0.3.0Morph Framework’s v0.3.0 update includes updates to the configuration file that allow customization of the cloud runtime environment, a refresh of the frontend architecture, and improved compatibility with the React ecosystem.2025-04-03Streamlit Deployment Now Supported 🎉With this month's update Streamlit can now be deployed to Morph, falling under the protection of Morph’s by built-in user authentication. You can distribute secure in-house apps without adding any code!2025-03-26Ollama hostingMorph’s cloud platform now supports the self-hosting of Ollama, allowing you to run LLMs in a secure environment that is completely isolated from the public internet. This enables enterprises with strict data governance requirements to leverage the latest models.2025-03-13Introducing Github Integrated DeploymentMorph’s cloud platform now features CI/CD automation integrated with Github. Replacing the traditional CLI-based deployment method, there’s no longer a need to set up Docker on your local environment, enabling a simpler and more efficient workflow for developing and operating internal apps.2025-03-11New Components - Launch Week #3We've added a slew of new components to the Morph Framework in our most recent update. These include the component for AI, as well as and for creating functional layouts in seconds.2025-02-07Role-Based Access Control – Launch Week #3One of the powerful features achievable by combining Morph’s framework with the cloud is role-based access control. You can alter the permissions granted to team members via the dashboard within your Python framework.2025-02-06Data Connectors - Launch Week #3We’ve updated our data connections for databases such as MySQL and PostgreSQL, data warehouses like Snowflake and BigQuery, and SaaS platforms like Salesforce and Hubspot. These connections can be configured easily both via the web app and within Python using our SDK.2025-02-05Cloud Hosting – Launch Week #3We now offer cloud hosting with the features you need to operate serious AI apps, including effortless deployment via the morph deploy command, built-in user authentication, and role-based access control.2025-02-04Python Framework for AI App Development – Launch Week #3To further accelerate AI app development, we’ve updated the Morph framework. This update includes new functions for speeding up AI app development, additional components, and enhanced integration with cloud resources.2025-02-03Creating Beautiful and Interactive Data Visualizations with Python: A Complete Guide to Plotly (Cheat Sheet & Tips)Learn how to build interactive data visualizations in Python using Plotly Express! This guide comprehensively explains the fundamentals of Plotly, covering basic visualizations such as bar charts and scatter plots, as well as customizations like font changes, background color modifications, and update_layout settings.2025-01-30Announcing Launch Week #3We are excited to announce our third Launch Week! Launch Week #3 will run for five days from Monday, February 3, to Friday, February 7, 2025.2025-01-21Leveraging Data in Sports: The Future of Marketing Strategy Formulation with MorphAddressing Uncontrollable Variables in Sports Marketing with Morph: Utilizing Data in Sports 82024-12-24Other updates - Launch Week #2Here are the other updates released in this version, which didn’t warrant an entire update to themselves!2024-12-20Viewer Mode - Launch Week #2Viewer Mode is a viewer-only mode for data apps built with Morph. This allows for a simpler user experience for the non-engineering departments of an organization.2024-12-19Open Source Framework - Launch Week #2Morph is a full-stack framework for building and deploying data apps. Now, the availability of the open source version will allow you to test the Morph development experience on your machine first-hand!2024-12-18AI Functions - Launch Week #2Leverage the power of OpenAI and Anthropic Python SDKs to build AI tools perfectly tailored to your workflows. By training models on your organizational data and utilizing custom system prompts, you can create highly optimized solutions for your business needs.2024-12-17LLM Component - Launch Week #2AI features for end users are now available in Morph! Simply place the component in a Markdown file, and you can create dashboards with chat and document generation capabilities. 2024-12-16Announcing Launch Week #2We're excited to announce our second Launch Week! This time, the highlights are AI features for end-users, and the much-requested open source.2024-12-09What is a Data App? Why is it Important? How Does it Differ from Business Intelligence?In recent years, "Data Apps" have been gaining rapid attention. This article will explain their overview and benefits, focusing on how they differ from BI tools.2024-11-12Template - Launch Week #1Introducing the Template feature, which allows you to start creating analytical pipelines and data apps on Morph immediately.2024-11-01Data Integrations - Launch Week #1Learn how to connect your data to Morph's workspace!2024-10-31Morph AI - Launch Week #1Introduce the AI features that assist in building data apps.2024-10-30Pages - Launch Week #1Pages allows you to build interactive data apps using markdown!2024-10-29Workspace - Launch Week #1Data Management + VS Code + Data App in One Place2024-10-28Announcing Launch Week #1Morph will be hosting its Launch Week! The event will take place over five days, from Monday, October 28, 2024, to Friday, November 1, 2024.2024-10-18FOCUS: Automate Cost Monitoring in your CloudThe essence of FinOps is to streamline and automate the optimal allocation of resources. FOCUS enhances this process by introducing common standards for cloud cost data.2024-09-19Rise of the Data WorkspaceA new kind of workspace has emerged, where businesses and engineers can collaborate on data in real time. With AI and Python, even complex analyses are becoming simpler.2024-08-28What is FinOps?What is FinOps, a hot topic these days? This article introduces what exactly you should do.2024-08-01Coordinating with the Engineering Department: FinOps Diary #1First Steps to Achieving FinOps. Work on AWS Cost Reporting2024-08-01New Features in Beta 3Morph Beta 3 has been released, available to invited users. This article introduces the updates in Beta 3.2024-07-25Leveraging Data in Sports: Injury Prevention and PredictionTracking Data for Injury Prevention and Prediction: Utilizing Data in Sports 72024-07-19Leveraging Data in Sports: Customer ID IntegrationThe Value of Customer ID integration in the Sports Industry: Utilizing Data in Sports 62024-07-12Leveraging Data in Sports: NBAInnovative Viewer Experiences Leveraging Tracking Data in the NBA: Utilizing Data in Sports 52024-07-05Leveraging Data in Sports: SHIBUYA CITY FCExploring SHIBUYA CITY FC's performance through data!: Utilizing Data in Sports part 42024-06-28FinOps: Automating Monthly AWS Cost Reports - Biz x Dev RoundtableWe talk with the Biz team about how Morph can keep a finger on the pulse of Cloud Computing costs — without needing to talk to the developers involved.2024-06-24Leveraging Data in Sports: MLB-marketingMLB's Data-Driven Marketing Strategy: Utilizing Data in Sports 32024-06-21Snowflake Summit 2024 After-action Report and Workshopping: Biz x Dev RoundtableWe discuss how the AI-related features presented at Snowflake Summit 2024 can be leveraged for sales and marketing, including examples of data analysis using AI features.2024-06-20Automating Google Analytics Reports to your Inbox : Biz x Dev RoundtableAutomate making data reports and distribution to team members using AI features2024-06-17Leveraging Data in Sports: MLB techHawk-eye, Google, Databricks: The Technology Companies Powering MLB's Data Utilization: Utilizing Data in Sports 22024-06-14Developing data processing AI agents: a letter from the development teamBehind-the-scenes look at the Morph team's work to develop an AI agent that specializes in data processing.2024-06-12How can I know which features activate the data stored in Snowflake? : Biz x Dev RoundtableThe Biz x Dev Roundtable series focus on data analysis with Snowflake data.2024-06-11Leveraging Data in Sports: LaLigaWhy the Spanish Soccer League LaLiga Publishes Competition Data to Fans: Utilizing Data in Sports 12024-06-07From No-Code to Low-Code: Letter from the Development TeamChanges in Morph Beta 2, the next generation version of Morph2024-06-05Welcome to Morph 1.0!Welcome to Morph 1.0!2023-12-13RevOps: a Field GuideWant more Rev? I’ve got just the Ops for you.2023-12-01Release Note: Public BetaA release note for the public beta version of Morph.2023-02-06 --- Morph has evolved into Squadbase!Visit our new site