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Morph

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Coding & Development

Introduction

Build and collaborate on data apps effortlessly with AI assistance.

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Morph Product Information

Morph - AI-powered Data Apps with Code Docs is a Python framework and hosting platform designed to build, deploy, and share data applications securely. It provides a full-stack environment with built-in authentication, data connectors, CI/CD, and role-based access control (RBAC). You can connect to data sources like BigQuery or Snowflake, process data with Python and OpenAI API/ML models, design UI in Markdown, and publish apps via a team-scoped URL. It emphasizes secure deployments and seamless collaboration.

How to Use Morph

  1. Install and start: Install the Morph package and launch a project with a single command.
  2. Connect data: Use Data Connectors to securely connect to internal data sources (e.g., PostgreSQL, Snowflake, BigQuery, Salesforce, Intercom, Linear).
  3. Build with Python/Markdown: Write data processing logic in Python, define UI screens in Markdown, and optionally extend with React components or MDX libraries.
  4. Deploy securely: Deploy to a private environment accessible to your team with fine-grained access controls.
  5. Share and collaborate: Share apps via a URL; manage roles and permissions to control who can view or edit.

Core Capabilities

  • Python-powered data processing and app logic
  • Rich, Markdown-based UI authoring with optional React/MDX support
  • Built-in authentication and role-based access control (RBAC)
  • Secure deployment environments for team-only access
  • Numerous data connectors (PostgreSQL, Snowflake, BigQuery, Salesforce, Intercom, Linear, and more)
  • Git-style project management and versioning
  • Schedule automatic SQL/Python process executions
  • Data governance and lineage visualization
  • Data mart capability with built-in PostgreSQL
  • Easy sharing via simple URLs
  • Local LLM and AI model integration for enhanced AI workflows

How It Works

  • Create a Morph project and install the Morph data package.
  • Add data connectors to hook into your sources.
  • Implement data processing and AI-powered logic in Python.
  • Build UI screens in Markdown (with optional React components for interactivity).
  • Deploy behind your organization’s security boundary with RBAC and controlled access.
  • Share apps with teammates via URL; manage permissions and versions through Morph’s tooling.

Safety and Governance Considerations

  • Deploy in a secure, private environment; avoid exposing sensitive data publicly.
  • Use RBAC to restrict access to data and API keys.

Core Features

  • Python-based data processing and AI integration
  • Markdown-driven UI with optional React/MDX enhancements
  • Built-in authentication and Role-Based Access Control (RBAC)
  • Private deployment environments for team-only access
  • Extensive data connectors (PostgreSQL, Snowflake, BigQuery, Salesforce, Intercom, Linear, etc.)
  • Git-like project management and version control
  • Scheduled SQL and Python workflows
  • Data governance with data lineage visualization
  • Built-in data mart via PostgreSQL
  • Simple URL sharing for team collaboration
  • Local LLM deployment options (Ollama) and AI workflow support