Built on top of d3.js and stack.gl, plotly.js is a high-level, declarative charting library. plotly.js ships with 20 chart types, including 3D charts, statistical graphs, and SVG maps.
- Quick start options
- Bugs and feature requests
- Documentation
- Contributing
- Community
- Clients for R, Python, and MATLAB
- Creators
- Copyright and license
git clone https://github.com/plotly/plotly.js.gitnpm install plotly.js<!-- Latest compiled and minified plotly.js JavaScript -->
<script type="text/javascript" src="https://cdn.plot.ly/plotly-latest.min.js"></script>Read the Getting started page for examples.
Have a bug or a feature request? Please first read the issues guidelines.
Official plotly.js documentation is hosted on plot.ly/javascript.
These pages are generated by the Plotly documentation repo built with Jekyll and publicly hosted on GitHub Pages. For more info about contributing to Plotly documentation, please read through contributing guidelines.
You can also suggest new documentation examples by submitting a Codepen on community.plot.ly with tag plotly-js.
Please read through our contributing guidelines. Included are directions for opening issues, using plotly.js in your project and notes on development.
Get updates on plotly.js's development and chat with the project maintainers and community members.
- Follow @plotlygraphs on Twitter.
- Implementation help may be found at Stack Overflow (tagged
plotly) or community.plot.ly (taggedplotly-js). - Developers should use the keyword
plotlyon packages which modify or add to the functionality of plotly.js when distributing through npm. - Direct developer email support can be purchased through a Plotly Pro plan.
plotly.js is maintained under the Semantic Versioning guidelines.
See the Releases section of our GitHub project for changelogs for each release version of plotly.js.
Open-source clients to the plotly.js APIs are available at these links:
| GitHub repo | Getting started | |
|---|---|---|
| R / RStudio | ropensci/plotly | plot.ly/r/getting-started |
| Python / Pandas / IPython notebook | plotly/plotly.py | plot.ly/python/getting-started |
| MATLAB | plotly/matlab-api | plot.ly/matlab/getting-started |
| node.js | plotly/plotly-nodejs | plot.ly/nodejs/getting-started |
| Julia | plotly/Plotly.jl | plot.ly/julia/getting-started |
plotly.js charts can also be created and saved online for free at plot.ly/plot.
| Github | ||
|---|---|---|
| Alex C. Johnson | @alexcjohnson | |
| Étienne Tétreault-Pinard | @etpinard | @etpinard |
| Mikola Lysenko | @mikolalysenko | @MikolaLysenko |
| Miklós Tusz | @mdtusz | @mdtusz |
| Chelsea Douglas | @cldougl | |
| Ben Postlethwaite | @bpostlethwaite | |
| Chris Parmer | @chriddyp | |
| Alex Vados | @alexander-daniel |
Code and documentation copyright 2016 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.