
blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide
Preview meta tags from the blog.pyodide.org website.
Linked Hostnames
15- 12 links togithub.com
- 8 links toblog.pyodide.org
- 5 links todeveloper.mozilla.org
- 1 link toagg.sourceforge.net
- 1 link togohugo.io
- 1 link tohacks.mozilla.org
- 1 link tojsfiddle.net
- 1 link tojupyterlite.readthedocs.io
Thumbnail

Search Engine Appearance
HTML5 based renderer for Matplotlib in Pyodide
Pyodide is a distribution of CPython for WebAssembly which was started by Michael Droettboom at Mozilla. Today, Pyodide is an independent open source project. It not only provides support for calling JavaScript and web APIs from Python, but also brings the Python scientific stack to the browser as it includes the five most essential data science libraries – NumPy, Pandas, Matplotlib, scikit-learn, and Scipy. In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.
Bing
HTML5 based renderer for Matplotlib in Pyodide
Pyodide is a distribution of CPython for WebAssembly which was started by Michael Droettboom at Mozilla. Today, Pyodide is an independent open source project. It not only provides support for calling JavaScript and web APIs from Python, but also brings the Python scientific stack to the browser as it includes the five most essential data science libraries – NumPy, Pandas, Matplotlib, scikit-learn, and Scipy. In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.
DuckDuckGo

HTML5 based renderer for Matplotlib in Pyodide
Pyodide is a distribution of CPython for WebAssembly which was started by Michael Droettboom at Mozilla. Today, Pyodide is an independent open source project. It not only provides support for calling JavaScript and web APIs from Python, but also brings the Python scientific stack to the browser as it includes the five most essential data science libraries – NumPy, Pandas, Matplotlib, scikit-learn, and Scipy. In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.
General Meta Tags
15- titleHTML5 <canvas> based renderer for Matplotlib in Pyodide | Pyodide blog
- charsetutf-8
- X-UA-CompatibleIE=edge
- viewportwidth=device-width,initial-scale=1,shrink-to-fit=no
- robotsindex, follow
Open Graph Meta Tags
7- og:urlhttps://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/
- og:site_namePyodide blog
- og:titleHTML5 based renderer for Matplotlib in Pyodide
- og:descriptionPyodide is a distribution of CPython for WebAssembly which was started by Michael Droettboom at Mozilla. Today, Pyodide is an independent open source project. It not only provides support for calling JavaScript and web APIs from Python, but also brings the Python scientific stack to the browser as it includes the five most essential data science libraries – NumPy, Pandas, Matplotlib, scikit-learn, and Scipy. In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.
- og:localeen-us
Twitter Meta Tags
4- twitter:cardsummary_large_image
- twitter:imagehttps://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/featured.png
- twitter:titleHTML5 <canvas> based renderer for Matplotlib in Pyodide
- twitter:descriptionPyodide is a distribution of CPython for WebAssembly which was started by Michael Droettboom at Mozilla. Today, Pyodide is an independent open source project. It not only provides support for calling JavaScript and web APIs from Python, but also brings the Python scientific stack to the browser as it includes the five most essential data science libraries – NumPy, Pandas, Matplotlib, scikit-learn, and Scipy. In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.
Link Tags
7- apple-touch-iconhttps://blog.pyodide.org/apple-touch-icon.png
- canonicalhttps://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/
- iconhttps://blog.pyodide.org/favicon.ico
- iconhttps://blog.pyodide.org/favicon-16x16.png
- iconhttps://blog.pyodide.org/favicon-32x32.png
Website Locales
1en
https://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/
Links
37- http://agg.sourceforge.net/antigrain.com
- https://blog.pyodide.org
- https://blog.pyodide.org/archives
- https://blog.pyodide.org/posts
- https://blog.pyodide.org/posts/0.20-release