Stars
Enso Analytics is a self-service data prep and analysis platform designed for data teams.
A high-throughput and memory-efficient inference and serving engine for LLMs
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
📊 Cube Core is open-source semantic layer and LookML alternative for AI, BI and embedded analytics
Super-fast/easy runtime validators and serializers via transformation
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Build cross-platform desktop apps with JavaScript, HTML, and CSS
llama.cpp fork with additional SOTA quants and improved performance
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Next generation testing framework powered by Vite.
Podman: A tool for managing OCI containers and pods.
Build production-ready applications in TypeScript
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaSc…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A markup-based typesetting system that is powerful and easy to learn.
Your self-hosted, globally interconnected microblogging community
Style and Grammar Checker for 25+ Languages
Opensource IDE For Exploring and Testing API's (lightweight alternative to Postman/Insomnia)
LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.