💤 A modern plugin manager for Neovim

Pretty fancy and modern terminal file manager

Metal I/O library for Rust.

Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

Integrate the DeepSeek API into popular softwares

A lightweight data processing framework built on DuckDB and 3FS.

An open source multi-tool for exploring and publishing data

Asynchronous Python ODM for MongoDB

🙌 OpenHands: Code Less, Make More

Fast, light, simple Docker containers & Linux machines

A library that provides an embeddable, persistent key-value store for fast storage.

Intermediate Graphics Library (IGL) is a cross-platform library that commands the GPU. It provides a single low-level cross-platform interface on top of various graphics APIs (e.g. OpenGL, Metal an…

The most intuitive desktop API client. Organize and execute REST, GraphQL, WebSockets, Server Sent Events, and gRPC 🦬

Create business apps and automate workflows in minutes. Supports PostgreSQL, MySQL, MariaDB, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀 No code / Low code platform..

Organize world's knowledge, explore connections and curate learning paths

Draw datasets from within Python notebooks.

Interactive Data Visualization in the browser, from Python

🪄 Create rich visualizations with AI

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

Making Docker and Kubernetes management easy.

DocumentDB is the open-source engine powering vCore-based Azure Cosmos DB for MongoDB. It offers a native implementation of document-oriented NoSQL database, enabling seamless CRUD operations on BS…

Podman: A tool for managing OCI containers and pods.

🔎 Static code analysis engine to find security issues in code.

Fast Semantic Text Deduplication

System design patterns for machine learning

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A curated list of awesome Machine Learning frameworks, libraries and software.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.