bokeh

0.12.15

Bokeh Version 0.12.15 (Mar 2018) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Addressed several WebGL bugs (6867, 7087, 7211, 7681)

• Switched to Chrome headless for CI image tests, will support better WebGL testing (6594)

• Updated data source selections to be proper Bokeh models (6845)

• Fixed memory leaks with certain kinds of Bokeh server usage (7468)

• Added new glyphs for hexagon markers and hex tiles, and a new hexbin method 7638, (4786)

• Completed BokehJS port to TypeScript (6481)

0.12.14

Bokeh Version 0.12.14 (Feb 2018) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Addition of several tools to draw and edit point, rect, multi-line and patches glyphs (6370) by modifying the underlying ColumnDataSource.

0.12.13

Bokeh Version 0.12.13 (Dec 2017) is a targeted bugfix release that addresses two issues:

• push_notebook regression in 0.12.11

• Windows package install failures due to reserved "aux" filename

0.12.11

Bokeh Version 0.12.11 (Nov 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Step glyph for step lines added (3644)

• Level-of-Detail works with linked plots (5937)

• Bokeh applications in notebooks made simpler to create (6565)

0.12.10

Bokeh Version 0.12.10 (Oct 2017) is an incremental update that adds a few important features and fixes several bugs.

0.12.9

Bokeh Version 0.12.9 (Sep 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• JupyterLab integration with the jupyterlab_bokeh extension

• Efficient binary transport for sending arrays to clients

• Improvements to new Graph/Network capability

0.12.7

Bokeh Version 0.12.7 (Aug 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Support graphs/trees/networks (187) including configurable and extendable policies for highlighting and selection.

• Filterable/Sliceable CDS views (4070)

• Pass HTTP request args to embedded sessions (5992)

• New ~bokeh.models.expressions.Expression models for client-side computations, including ~bokeh.models.expressions.Stack, for stacking CDS columns.

• New module bokeh.transform with helper functions for simplifying DataSpec expressions, including ~bokeh.transform.jitter, ~bokeh.transform.dodge, ~bokeh.transform.factor_cmap, etc.

• Added ~bokeh.plotting.figure.hbar_stack and ~bokeh.plotting.figure.vbar_stack to greatly simplify creation of stacked bar charts.

• Improvements for using Bokeh with Categorical data:

  • Support multi-level categories and hierarchical axes

  • Arbitrary limits on category names (e.g. no ':') have been lifted

  • Optional Pandas integration creates CDS from directly from GroupBy objects

  • Categorical Bar, Heatmap and Scatter plots easier to create with stable bokeh.plotting APIs

  • New User's Guide chapter "Handling Categorical Data"

0.12.6

Bokeh Version 0.12.6 (Jun 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Headless, programmatic export of SVG and PNG images (538)

• New annotations Band and Whisker for displaying error estimates (2352)

• Fine-grained sub-element patching for images and other "multi" glyphs (6285)

• Hover hit-testing extended to segments and all markers (5907, 5907)

• Fixes for sorting and selecting from DataTables (3564, 6115)

• Large cleanup and refactor of the layout system (4764, 4810, 5131, 5518, 6213, 6287)

• Improved formatting options for hover tool fields and axis tick labels (1239, 1671, 2595, 6079)

0.12.5

Bokeh Version 0.12.5 (Mar 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• New general capability for Python/JS events (3210, 3748, 5278)

• Bokeh apps easily viewable inline in Jupyter Notebooks (3461)

• Confusing --host parameter no longer necessary (5692)

• Interactive legends can now control glyph visibility (2274, 3715)

• Many fixes and improvements to GMapPlot including a new gmap function for creating Google Maps plots easily (2822, 2940, 3737, 4835, 5592, 5826, 5845)

• CustomJSTransform now available for CDS columns (5015)

• Sophisticated "pivot" example app contributed (5894)

• Themes now work with components and in Jupyter notebooks (4722, 4952, )

0.12.4

Bokeh Version 0.12.4 (Jan 2017) is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

• Efficient binary array protocol. (2204)

• A general mechanism to add CustomJS callbacks to any property. (5498)

• Several fixes to log plots. (2789, 3834, 5389, 5549, 5576)

• Fixes related to custom extensions. (5315, 5590)

• Guidance and examples for embedding a Bokeh server directly in standalone scripts, Jupyter notebooks, and Tornado and Flask applications.

• Support for read-only (client-side) properties, e.g. plot inner dimensions (5199)

• Improved documentation for the bokeh.palettes module. (5619)

• Major refactor of bokeh.core including expanded documentation and tests (5626, 5627)

0.12.3

Bokeh Version 0.12.3 (Oct 2016) is a minor, incremental update that adds a few new small features and fixes several bugs. Some of the highlights include:

• BokehJS reduced in size by nearly twenty percent

• New Categorical color mapper

• Tap tool and tooltips working for VBar and HBar

• Better hover tool support for some Charts

• Auto-generate legends from data in a column

• Many small bugfixes

0.12.2

Bokeh version 0.12.2 (Sept 2016) is aminor update that adds a few "small in footprint, but big in impact" features and several bug fixes including:

• Client-side color mapping support for all glyphs

• New color bar annotation

• Support for loading external resources in custom models

• Hit-testing support for MultiLine glyphs

• Improved hover tooltip default styling

• Addition of the Brewer qualitative color palettes

• Fix intermittent issues with BokehJS loading in Jupyter Notebooks

• Split of the Bokeh JS API into a stand-alone bundle

• Many small bug fixes

0.12.1

Bokeh Version 0.12.1 (Jul 2016) is a minor, incremental update that adds a few new small features and fixes several bugs. Some of the highlights include:

• Add .patch method to ColumnDataSource for efficient partial updates.

• Add .visible property to all glyphs for easy on/off capability.

• Add qualitative Brewer colormapps to bokeh.palettes.

• Add new VBar and HBar glyph types.

• Update BokehJS to use use RBush 2.0.1 for more efficient spatial indexing.

• Restore ResizeTool functionality for simple layouts.

• Fix Windows support for conda build, docs build, and running unit tests.

• Fix a bug in the HTML template for autoload_server causing incorrect layouts.

• Fix a bug in the toolbar CSS, causing it to interfere with hit testing and selection.

• Fix WebGL support for Safari, and WebGL bug affecting line thickness.

• Fix intermittent issues with BokehJS loading in Jupyter notebooks.

0.12.0

Bokeh Version 0.12.0 (Jun 2016) is a large release with many new improvements:

• Responsive layout and styling improvements throughout

• BokehJS plotting and charts APIs for pure JS dev

• Legends can be placed outside / next to the central plot area

• Expanded WebGL support to all markers, fixed webgl bugs

• New color palettes: Viridis, Magma, Inferno, and Plasma

• New model types:

  • Arrow, Title, and Label annotations

  • LogColorMapper for scaled color mapping

  • FuncTickFormatter for simpler custom ticking

• Support for computed transforms (e.g. Jitter) on data columns

• Documentation improvements:

  • re-done user guide sections for layout

  • new user guide sections for JS APIs

  • new user guide sections for custom extensions

• Server features:

  • unlocked callbacks for use with threads

  • "--num-threads" option for simpler deployment

  • new index landing page listing installed aps

• UX improvements

  • toolbar moved to the right, and made sticky, by default

  • left aligned title, closer in, by default

  • smaller, italic axes labels

• New hosted demos at https://demo.bokeh.org

0.11.1

Bokeh version 0.11.1 (Feb 2016) focuses on providing bug fixes, small features, and documentation improvements. Highlights include:

• settings and documentation for Bokeh server behind an SSL terminated proxy

• bugfixes:

  • MultiSelect works

  • Oval legend renders correctly

  • Plot title orientation setting works

  • Annulus glyph works on IE/Edge

• features:

  • preview of new streaming API in OHLC demo

  • undo/redo tool add, reset tool now resets plot size

  • "bokeh static" and "bokeh sampledata" commands

  • can now create Bokeh apps directly from Jupyter Notebooks

  • headers and content type now configurable on AjaxDataSource

Additionally some internal work has started to refactor and clean up BokehJS to bring the class and file structure into closer alignment with the Bokeh python library.

0.11.0

Bokeh Version 0.11.0 (Jan 2016) is a large release with many new improvements

• New Tornado and websocket-based Bokeh Server

  • bokeh command line tool for creating applications

  • expanded docs including deployment guidance

  • video demonstrations and tutorials

  • supports async, periodic, timeout and model event callbacks

  • python client API

• User-Defined Models allowing anyone to extend Bokeh

• GeoJSON data source and map tiles renderer

• WebGL support for rendering lines

• Python -> JS compilation for CustomJS callbacks (Py3 only for now)

• New general push_notebook() based on Jupyter comms

• Updates to charts

  • all legacy charts converted

  • more examples and expanded docs

• UX improvements

  • configurable and "auto" range bounds

  • wheel zoom scroll capture turned off by default

  • hover policy for glyphs

  • responsive improvements

• Known issues

  • annulus glyph does not render correctly on IE and Edge

0.10.0

Bokeh 0.10.0 (Sep 2015) provides several new features such as WebGL support, a new refactored and more powerful chart interface and responsive plots. Also bugfixes and enhancements in our documentation, testing and build machinery, and examples.

• Initial webgl support (check our new examples: maps city, iris blend, scatter 10K, clustering.py)

• New charts interface supporting aggregation (see our new Bars, BoxPlot, Histogram and Scatter examples)

• Responsive plots

• Lower-level jsresources & cssresources (allow more subtle uses of resources)

• Several test machinery fixes

• Several build machinery enhancements

• More pytest-related fixes and enhancements

• More docs fixes and enhancements

• Now the glyph methods return the glyph renderer (not the plot)

• Gmap points moves consistently

• Added alpha control for imageurl objects

• Removed python33 testing and packaging

• Removed multiuserblazeserver

0.9.3

Bokeh 0.9.3 (Aug 2015) provides several usability enhancements, better docs, new examples, a lot of bug fixes and an improved testing machinery (using pytest and selenium-based test).

• Support horizontal or vertical spans

• Provide raw_components version of bokeh.embed.components

• Prevent Bokeh from eating scroll events if wheel tool is not active

• bokeh.models.actions are now called bokeh.models.callbacks and Callback is now CustomJS

• Additional validation warnings

• Cleaned up gulp source mapping

• Fixes in our build machinery

• Cleaned up models section of the reference guide

• Use pytest instead of nose

• Beginning to add selenium tests

0.9.2

Bokeh 0.9.2 (Jul 2015) provides several bugfixes. Additionally, the MPL compatibility layer was updated.

• Several nan-related fixes including the slow rendering of plots

• Removed some unused dependencies

• Fixes in our automated release process

• Fixed the patches vanishing on selection

• More control over ticks and gridlines

• MPL compatibility updated

• Several examples updated

0.9.1

Bokeh 0.9.1 (Jul 2015) focused on extending Bokeh's new callback system by adding more places where callbacks can be used, expanding and improving the new User's Guide, exposing better ways to embed Bokeh plots and widgets into your own layouts, and providing validation error and warning feedback to diagnose problems.

• New callbacks options for hover, selection, and range updates

• Documentation for widgets and new callbacks in the User's Guide

• Much more flexible embed.components that can embed multiple objects

• Implemented a validation framework to provide errors and warnings

• More than 30 smaller bugfixes

0.9.0

Bokeh 0.9.9 (May 2015) provides sophisticated interactions in static plots using a new Callback Action, a complete rewrite of the User guide and big BokehJS refactoring switching to use browserify.

• Callback Action, serverless interactivity in static plots

• Hover inspection along lines

• Client side LOD downsampling for interactive tools

• Full User guide rewrite

• Reduce BokehJS boilerplate and switch to use browserify

• Several example bugfixes

0.8.2

Bokeh 0.8.2 (Mar 2015) is a quick release focused on some refactoring, bug fixes and improved documentation.

• Collect implicit interfaces into a single bokeh.io module

• Fixed notebook css issues

• Update notebooks to be compatible with IPython 3.0

• Easy bokeh applet generation using the simpleapp module

• Develop installation enhancements

• A new User guide intro and some other docs styling enhancements

• Some other minor examples bugfixes

0.8.1

Bokeh 0.8.1 (Feb 2015) is focused on stability, bug fixes and improved documentation.

• Fixed HoverTool

• Fixed Abstract rendering implementation and docs

• Fixed chart gallery and docs

• Removed leftovers from the old plotting API implementation

• Some other minor docs fixes

0.8.0

Bokeh 0.8.0 (Feb 2015) includes many major new features:

• New and updated language bindings: R, JavaScript, Julia, Scala, and Lua now available

• Better bokeh-server experience:

  • live gallery for server apps and examples!

  • new "publish" mode Bokeh plots and apps

  • docs and advice for real-world deployments

• Simpler and more easily extensible charts architecture, with new Horizon chart

• Dramatic build and documentation improvements:

  • 100% complete reference guide

  • full docs and BokehJS version deployed for every "dev" build and RC

  • sphinx extensions for easy inline plots

• Shaded grid bands, configurable hover tool, and pan/zoom for categorical plots

• Improved and more robust crossfilter

• AjaxDataSource for clients to stream data without a Bokeh server

In addition, many bugfixes and small features, both old and new --- over 100 issues --- were closed for this release! Additionally several new contributors helped out in a big way. Special thanks to Sarah Bird, Mathieu Drapeau, Samantha Hughes, and Nick Roth.

0.7.1

Bokeh 0.7.1 (Jan 2015) focused on stability, bug fixes, improved documentation and better examples.

• Several bokeh.charts bug fixes and enhancements, such as configurable tools

• Docs improvements, in particular, documenting json for bokeh.models

• Mpl compatibility improved, now returning the plot object

• A lot of encoding fixes, including fixes in some of our sample data

• Faster runs in TravisCI using the new docker-based containerized infrastructure

• New and improved examples, such as the Interactive Image Processing with Numba and Bokeh notebook

0.7.0

Bokeh 0.7.0 (Dec 2014) focused on new features and capability, particularly arounduser interface and experience:

• IPython widgets and animations without a Bokeh server

• Touch UI working for tools on mobile devices

• Vastly improved linked data table

• More new (and improving) bokeh.charts (high level charting interface)

• Color mappers on the python side

• Improved toolbar

• Many new tools: lasso, poly, and point selection, crosshair inspector

0.6.1

Bokeh 0.6.1 (Sep 2014) is a minor release.

• Toolbar enhancements

• bokeh-server fixes

• Improved documentation

• Button widgets

• Google map support in the Python side

• Code cleanup in the JS side and examples

• New examples

0.6.0

Bokeh 0.6.0 (Sep 2014) is an incremental update:

• Abstract Rendering recipes for large data sets: isocontour, heatmap, hdalpha

• Improved, configurable tool bar for plots

• Full Python 3 support for bokeh-server

• Much expanded User Guide

• Support for multiple axes

• Plot object graph query interface

• New charts in bokeh.charts: TimeSeries and Categorical HeatMap

• Hit-testing for patch glyphs

0.5.2

Bokeh 0.5.2 (Aug 2014) is an incremental update:

• New Layout system

• Improved automate testing infrastructure

• AR testing, server-side downsample fixes and ISO Contours

• New "dashboard-like" example: examples/app/applet/stock_example.py

0.5.1

Bokeh 0.5.1 (Jul 2014) is an incremental update:

• Hover activated by default

• Boxplot in bokeh.charts

• Better messages when you forgot to start the bokeh-server

• Fixed some packaging bugs

• Fixed NBviewer rendering

• Fixed some Unicodeencodeerror

0.5.0

Bokeh 0.5.0 (Jul 2014) adds the following features:

• Widgets

• Initial AR integration

• bokeh.charts (scatter, bar, histogram)

• improved embedding API

• minor ticks, plot frame, and log axes

0.4.4

Bokeh 0.4.4 (Apr 2014) is a minor release:

• Improved MPL interface, subplots, styling plus more examples

• TravisCI testing integration

• Tool enhancements, constrained pan/zoom, more hover glyphs

• Server remote data and downsampling examples

• Initial work for Bokeh "app" concept

0.4.1

Bokeh 0.4.1 (Feb 2014) is a minor release:

• Improved MPL interface, LineCollection plus examples

• Scala interface

• Categorical axes and ranges

• Hover tool

• Improved pan/zoom tool interactions