A searchable, community-curated directory that aggregates nearly every open-source data visualization tool in one place, updated daily from GitHub, npm, PyPI and CRAN. It lists 291 tools across languages and platforms (JavaScript, Python, R, C++, Go, Java/.NET, mobile, etc.), groups them by categories and topics (charting, maps, graphs, dashboards, diagrams-as-code, GPU/WebGL, time series, ML visualization and more), and presents an interactive landscape view that plots tools by GitHub stars on a logarithmic scale. The site emphasizes live metrics and activity: combined GitHub stars across tracked projects, ranked “most popular” lists (D3.js, Mermaid, Grafana, Apache Superset, Chart.js, ECharts, Metabase, Streamlit, Leaflet, Diagrams) and “most active this year” commit leaders (Kibana, Lightdash, Grafana, FiftyOne, Metabase).
Beyond browsing, it offers practical specifics for discovery and automation: sortable tables, recent-additions feeds, comparisons, and an MCP/JSON API plus llms.txt so AI assistants can query current data programmatically. Maintained on GitHub since 2014 by Javier Luraschi and contributors, content is CC BY 4.0, sponsored by Hal9 and hosted on cloudish.ai. The directory is useful both for developers choosing libraries and for researchers tracking popularity and activity across visualization ecosystems.
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