Stars
Preswald is a framework for building and deploying interactive data apps, internal tools, and dashboards with Python. With one command, you can launch, share, and deploy locally or in the cloud, tu…
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
TypeScript-centric app development platform: notebook and AI app builder
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
Vision utilities for web interaction agents 👀
Tegon is an open-source, dev-first alternative to Jira, Linear
Build full-stack apps on your own infrastructure.
The open source Tines / Splunk SOAR alternative for security and IT engineers. Built on simple YAML templates for integrations and response-as-code.
Automate browser-based workflows with LLMs and Computer Vision
DSPy: The framework for programming—not prompting—language models
UI Library for Azure Communication Services helps developers build communication applications with ease. From turn-key composites to UI components that can be composited together.
AI SDR - Searches for contacts in a Google Sheet and returns nicely formatted results
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
✨ React component for Stack applications.
Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.