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Interactive Web Plotting for Python

bokeh Merge pull request #795 from ContinuumIO/charts_docs_user
bokehjs re-updating BokehJS release to 0.5.0
build_scripts adding py33 and sdist building
conda.recipe add tag options for build and upload script
examples updating to align widget and canvas
extensions Include version '2.0.0-wakari'
project Include jquery UI's theme (CSS) in bokeh.css
remotedata added another data file
scripts Update changes script with new project labels.
sphinx update release notes and roadmap
.binstar.yml adding scripting for local build, convert, and upload to binstar
.gitattributes add versioneer for version better automatic version number support
.gitignore adding scripting for local build, convert, and upload to binstar
.travis.yml Test examples also with --no-dev in Travis CI
CHANGELOG update changelog
LICENSE.txt Formatting license.txt with hard line breaks (content unchanged)
MANIFEST.in do not include ipython checkpoints in sdist
QUICKSTART.md Added env variable option into the docs.
README.md Update README.md
bokeh-server imports at the top of the file
build_and_upload.sh add tag options for build and upload script
requirements.txt Passed requirements to install_requires inside setup.py, close #319 too.
sbt Use curl instead of wget in sbt
setup.py Merge pull request #782 from ContinuumIO/feature/setuppy_remove_old_i…
test_bokehjs.py move bokehjs test to where it will get run
versioneer.py Use realpath() instead of abspath() in versioneer.py
README.md

Bokeh

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Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

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
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