Starred repositories
Apache Superset is a Data Visualization and Data Exploration Platform
Apache Beam is a unified programming model for Batch and Streaming data processing.
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry u…
Go implementation of the Ethereum protocol
All in one vscode plugin for mcp developer
Fast, easy and reliable testing for anything that runs in a browser.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
gRPC to JSON proxy generator following the gRPC HTTP spec
The world’s fastest framework for building websites.
Interactive Data Visualization in the browser, from Python
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
A declarative, simple, fast, and fun package for building command line tools in Go
Open-source VPN for speed, privacy, and censorship circumvention. Free to download on Android, iOS, Windows, macOS, and Linux.
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发与系统设计。准备后端技术面试，首选 JavaGuide！
ML.NET is an open source and cross-platform machine learning framework for .NET.
Primary source of truth for the Docker "Official Images" program
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
TiDB operator creates and manages TiDB clusters running in Kubernetes.
Curated coding interview preparation materials for busy software engineers
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
A collection of open source Apache 2.0 Kafka Connector maintained by Lenses.io.
Statsmodels: statistical modeling and econometrics in Python
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)