Description:
Hoppscotch is an open-source API development ecosystem (web, desktop, and CLI) for designing, testing, and debugging APIs, supporting HTTP, WebSocket, and GraphQL, with offline/on-prem and cloud deployments.
LLaMA-Factory
Description:
LLaMA-Factory is an easy-to-use platform for training and fine-tuning large language models locally, enabling zero-code fine-tuning across 100+ models with multimodal support and a modular toolkit.
Apache Superset
Description:
Apache Superset is an open-source modern data exploration and visualization platform with a no-code viz builder, a powerful SQL editor, and a semantic layer for dashboards. It connects to many SQL databases and emphasizes scalability and extensibility.
Rill
Description:
Rill is an open-source BI tool that transforms raw data into fast, opinionated dashboards using SQL. BI-as-code with embedded in-memory databases (DuckDB/ClickHouse), data-lake compatibility, and Git-based deployment for self-serve analytics.
Quarto
Description:
Quarto is an open-source scientific and technical publishing system built on Pandoc; it enables multi-language code execution and publishing of articles, websites, books in formats like HTML, PDF, Word, and ePub.
NodePass
Description:
NodePass is an open-source, lightweight TCP/UDP tunneling solution with zero-configuration deployment, TLS options, and protocol conversion, enabling secure, high-performance networking across restrictive networks.
goose
Description:
Goose is an open-source, on-machine AI agent that automates engineering tasks end-to-end—from building projects to debugging—working with any LLM and MCP servers, available as a desktop app and CLI.
Claude Task Master
Description:
An open-source AI-powered task-management system that can drop into Cursor, Lovable, Windsurf, Roo, and more. It helps break projects into actionable tasks for AI agents, supports multiple editors via MCP, and integrates Claude Code. MIT license with Commons Clause.
Maltrail
Description:
Maltrail is a malicious traffic detection system that uses public blacklists and heuristics to detect suspicious network activity; it uses a sensor-server architecture and is implemented in Python.