Interactive Web Plotting for Python
Pull request Compare This branch is 13608 commits behind bokeh:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
bokeh
bokehjs
examples
extensions
remotedata/defaultuser
scripts
sphinx
tutorial
.gitattributes
.gitignore
CHANGELOG
LICENSE.txt
MANIFEST.in
QUICKSTART.md
README.md
bokeh-server
requirements.txt
setup.py
versioneer.py

README.md

Bokeh

Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.

Please visit the Bokeh web page for more information and full documentation.

To get started quickly, follow the Quickstart in the online documentation, or the QUICKSTART.md located in the top level of the bokeh repository.

Be sure to follow us on Twitter @bokehplots!

Interactive gallery

image anscombe stocks lorenz candlestick scatter splom
iris histogram periodic choropleth burtin streamline image_rgba
stacked quiver elements boxplot categorical unemployment les_mis