21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T610,

What is Morph?

Morph is an AI-powered platform designed to build functional and performant data applications quickly. It allows users to import data, collaborate using Python and SQL, and export data apps. Morph provides built-in AI assistance throughout the development process, offering features like data connectors, CI/CD, RBAC, and a Python framework for extensibility.

How to use Morph?

Start by installing the Morph Python package using 'pip install morph-data'. Then, launch the Python framework with a single command to begin building your app. Connect to data sources, process data in Python, customize AI processes, and use pre-made components or write your own in Markdown.

Morph's Core Features

AI-powered data app development

Python and SQL collaboration

Data connectors for BigQuery, Snowflake, PostgreSQL, Salesforce, Intercom, and Linear

Built-in authentication, CI/CD, and RBAC

Secure deployment environment

Git management

Scheduled execution of SQL and Python processes

Morph's Use Cases

#1 Building interactive dashboards from data

#2 Creating custom AI processes using LLM APIs

#3 Automating data processing workflows

#4 Sharing data applications with teams via URL

Morph

📋Introduction

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