Open source. Open possibilities.

A community-maintained directory of 730+ free public APIs across 48 categories, with a searchable website and a free JSON API endpoint. Covers animals, anime, finance, geocoding, weather and more.

Taipy is a Python framework designed for data scientists and ML engineers to build and deploy production-ready data and AI-driven web applications without needing to learn front-end languages.

A lightweight OpenAI API reverse proxy featuring per-key token budgets, rate limiting, cost dashboards, and automatic model downgrading.

FiftyOne is an open-source tool for building high-quality datasets and computer vision models. It enables users to visualize, label, evaluate, and curate visual AI data.

Appsmith is an open-source low-code platform for building admin panels, internal tools and dashboards. It connects to 25+ databases and any API, and can be self-hosted via Docker, Kubernetes or AWS AMI.

A local, read‑only dashboard that visualizes Claude Code usage—token counts, cost estimates, sessions, tools, skills, projects, and activity patterns—by scanning ~/.claude/projects/ and serving a FastAPI‑based UI.

SurrealDB is a multi-model database built in Rust, unifying document, graph, relational, time-series, geospatial, and key-value data with real-time and vector search capabilities.

Tachiko Work is a semantic workspace for structured data, offering typed schemas, deterministic formulas, and Git-native review. It enables humans and AI to work on the same meaning without reverse-engineering files.

Poolstatis is an agent-native product analytics system modeled after PostHog, designed primarily for coding agents via MCP. It features semantic metrics, funnels, session replay, A/B testing, and answer-first analysis screens for humans.

lore is a Bun-based command line tool that mirrors Claude Code's local transcripts into an archive, indexes them with SQLite FTS5, and serves a local web explorer for searching sessions and profiling token usage.

marimo is a reactive Python notebook that ensures consistency between code and outputs, stored as pure Python files for git-friendliness and deployability.