AwesomeDataviz

Add a tool

The directory is built from one Markdown file. Adding a tool takes a one-line pull request.

  1. Check that it isn't listed yet. Search the 291 tools by name.
  2. Edit the README. Open the README editor on GitHub and find the section that fits best: a language (Python, R, Rust…), a JavaScript category (charting, graphs, maps, React…) or Other tools for standalone apps.
  3. Add one line in this format:
    - [Name](https://github.com/owner/repo) - Short, neutral description of what it does.
    Link to the source repository when there is one: it is what lets the site show stars, activity, license and install commands.
  4. Open the pull request. Once a maintainer merges it, the tool gets its own page here within a day.

What gets accepted

  • Working data visualization tools: libraries, apps, services and frameworks whose main job is turning data into charts, maps, graphs or dashboards.
  • Open-source projects are preferred. Closed-source tools need a very good reason.
  • Short, neutral descriptions. No marketing superlatives.
  • Pull requests that look like spam, or whose functionality we can't verify, are closed.

To fix incorrect data on a tool page (wrong repository, package or license), open an issue or edit site/data/overrides.mjs.