Stars
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Streamlit — A faster way to build and share data apps.
Turns Data and AI algorithms into production-ready web applications in no time.
AI powered one-click comprehensive docs from transcripts and text.
A configuration as code language with rich validation and tooling.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Distribute and run LLMs with a single file.
Crawl a site to generate knowledge files to create your own custom GPT from a URL
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Add a stalin sort algorithm in any language you like ❣️ if you like give us a ⭐️
High-performance In-browser LLM Inference Engine
Giving LLMs like GPT-4 the ability to plan and execute terminal commands
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Track changes to SQLite tables using triggers
Quadratic | Spreadsheet with Python, SQL, and AI
A SQLite extension for making HTTP requests purely in SQL
Access large language models from the command-line
Run modern deep learning models in the browser.
Source code for Twitter's Recommendation Algorithm