Bokeh Visualization Library Profile Banner
Bokeh Visualization Library Profile
Bokeh Visualization Library

@bokeh

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21
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Bokeh is an interactive viz library targeting modern browsers for presentation. Bokeh helps you create interactive plots, dashboards + data apps.

Joined March 2012
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@bokeh
Bokeh Visualization Library
2 years
Bokeh 3.0 is out! 🎉✨ It includes: - New contour plots, - Restructured user guide, - Expanded gallery examples, - Layout engine overhaul, - Improved widgets and tools, - More accessible color palettes, and many more exciting features! Check it out:
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@bokeh
Bokeh Visualization Library
6 years
We are definitely in our feels today. Come read all about the release of Bokeh 1.0!
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@bokeh
Bokeh Visualization Library
6 years
Bokeh 0.13.0 is released! Read about custom templates for Bokeh applications, a new range tool, plans for 1.0, and more #Python #Dataviz
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@bokeh
Bokeh Visualization Library
7 years
Did someone ask for PNG and SVG image export directly from python? @BokehPlots version 0.12.6 is released!
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@bokeh
Bokeh Visualization Library
5 years
Finally plot those hundreds of plots at a time you wanted! Bokeh 1.1 is released, closing more than 50 layout-related issues, and adding some other nice new features! #Python #DataScience #Datavisualization #dataviz
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@bokeh
Bokeh Visualization Library
7 years
Interactively explore 4 linked 8000x8000 tiles at once? With @HoloViews driving @datashader @BokehPlots and @numba_jit , no problem! #dataviz
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@bokeh
Bokeh Visualization Library
6 years
Happy to announce Bokeh 0.12.16 is released: Hover for images, CustomJS for hover, and more! #Python #Dataviz
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@bokeh
Bokeh Visualization Library
7 years
Pleased to announce Bokeh 0.12.7 is released with some long awaited features!
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@bokeh
Bokeh Visualization Library
5 years
Bokeh 1.2 is hatched! Read all about what's new at #Python #DataScience #Datavisualization #dataviz
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@bokeh
Bokeh Visualization Library
6 years
Previews of things coming next week in Bokeh 0.12.15
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@bokeh
Bokeh Visualization Library
6 years
We're incredibly excited about Chartify, a new high-level charts interface to Bokeh from @SpotifyLabs . We encourage Bokeh users to go try it out and give feedback to the Chartify team.
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@bokeh
Bokeh Visualization Library
6 years
Long-requested RangeTool lands in new Bokeh 0.13.0 #Python #Datavisualization #DataScience
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@bokeh
Bokeh Visualization Library
6 years
Always nice when long-awaited features can get done, check out the new Bokeh 0.12.15!
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@bokeh
Bokeh Visualization Library
7 years
Also new for 0.12.7, improved categoricals. Grouped and stacked bars, nested axes, and jitter all easier than ever!
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@bokeh
Bokeh Visualization Library
3 years
Bokeh 2.4 is out! Built-in LaTeX equation support for axes and markups (with more coming), SVG improvements, and a re-written Contributor's Guide all part of @cziscience grant work! Plus many other improvements, read about everything at
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@bokeh
Bokeh Visualization Library
2 years
The Bokeh 3.0 release candidate is live! We are really excited about it AND we would REALLY appreciate help from Bokeh users with testing before the full release. Check out our latest blog post to find out how to help:
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@bokeh
Bokeh Visualization Library
3 years
Bokeh 2.3 is out! 🎉This is a big release, with a lot of features, fixes, and docs improvements based on user feedback. See the list on the Bokeh blog:
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@bokeh
Bokeh Visualization Library
5 years
Happy new years! Bokeh 1.0.3 is released! #Python #dataviz #pydata
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@bokeh
Bokeh Visualization Library
2 years
Bokeh has been awarded a 2-year grant from the Chan Zuckerberg Initiative!:tada::tada: A big thank you to @cziscience ! We are excited to support data visualization for bioscience research:microscope::bar_chart: Read our announcement blog post here:
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@bokeh
Bokeh Visualization Library
7 years
New @Holoviews 1.8 is out! Making great visualizations using @Bokehplots and @Datashader was never easier or better!
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@bokeh
Bokeh Visualization Library
5 years
A full set of runnable, in-depth tutorial notebooks on @mybinderteam is only a click away!
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@bokeh
Bokeh Visualization Library
5 years
We mentioned a coming attraction, here it is! Finally Bokeh has a Front Page A great one-stop for finding project resources and information, including the high level view for new users. #Python #DataScience #dataviz #Datavisualization
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@bokeh
Bokeh Visualization Library
6 years
Bokeh 0.12.14 is out with new glyph editing tools!
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@bokeh
Bokeh Visualization Library
6 years
Bokeh 0.12.11 is released!
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@bokeh
Bokeh Visualization Library
7 years
You didn't miss a beat, after a build flub, @BokehPlots 0.12.9 is out! JupyterLab and fast binary array support!
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@bokeh
Bokeh Visualization Library
7 years
Great to see @BokehPlots (and Blaze/Dask) on the Top 10 Python libraries of 2016 list!
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@bokeh
Bokeh Visualization Library
7 years
New blog post! @mrocklin Talks about embedding Bokeh servers programmatically for streaming data!
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@bokeh
Bokeh Visualization Library
5 years
We are pleased to announce that Bokeh has been awarded a @NumFOCUS Small Development Grant! The funds will support improvements to Tornado, to reduce unnecessary data copies in websocket handler codepaths (which will benefit the Bokeh server). We will update more details soon!
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@bokeh
Bokeh Visualization Library
8 years
New Bokeh 0.12.2 release is available! Colorbars, LaTeX and more:
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@bokeh
Bokeh Visualization Library
6 years
Thanks, everyone, for the kind words about the Bokeh 1.0 announcement. Looking forward to more great releases! #DataScience #python #visualization #dataviz
@bokeh
Bokeh Visualization Library
6 years
We are definitely in our feels today. Come read all about the release of Bokeh 1.0!
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@bokeh
Bokeh Visualization Library
5 years
Have you browsed our tutorials yet? They’re step-by-step, notebook-based, and a great way to learn how to make clear, communicative, interactive visualizations and share them with your audience in a variety of formats! #python #pydata #dataviz
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@bokeh
Bokeh Visualization Library
6 years
Welp, we aren't done yet, but we are over the last hill and careening towards the finish. Check out he first ever 1.0 dev build!
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@bokeh
Bokeh Visualization Library
7 years
Bokeh 0.12.10 is released! Home stretch for Bokeh 1.0 this winter!
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@bokeh
Bokeh Visualization Library
5 years
Bokeh has grown! Take a look at these download stats on GitHub: between Conda and PyPI, Bokeh had over *one million* downloads in the last month. Your support and contributions have helped to build a great visualizations library!
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@bokeh
Bokeh Visualization Library
5 years
Well, I guess this happened overnight. 😮 🎊🎊🎊🎊🎊🎊🎊🎊 Thank you, thank you, thank you, to all the users, contributors, and supporters over the last ~7 years!!!
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@bokeh
Bokeh Visualization Library
4 years
The parallel axes plot in our repo is a great example of using an intuitive, graphical interaction to narrow down a dataset using a combination of variables. There's plenty more inspiration and technical guidance in the examples directory-- go poke around!
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@bokeh
Bokeh Visualization Library
5 years
Really great @TalkPython interview with @mrocklin about Dask, with a nice @BokehPlots shout-out near the middle. The Dask Dashboard is still one of our favorite examples of powerful Bokeh usage for streaming and live data, all inside @ProjectJupyter !
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@bokeh
Bokeh Visualization Library
4 years
Bokeh 2.1 is out! This release includes some new tool features and performance improvements. Visit the Bokeh blog to read about additions and changes:
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@bokeh
Bokeh Visualization Library
2 years
New Showcase: Raindrops Animation 🌧️ It demonstrates how to use bokehjs on @observablehq !
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@bokeh
Bokeh Visualization Library
7 years
One new feature is built-in support for graphs, thanks @canavandl ! @datashader integration for big graphs on the way
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@bokeh
Bokeh Visualization Library
5 years
Thanks to @jorisvdbossche for sharing his recent work, a brand new mobile-friendly @BokehPlots docs site will go live this week. Please test it out and leave feedback on the Discourse: And if you can help with small fixes the community will be grateful!
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@bokeh
Bokeh Visualization Library
7 years
Passed 350k conda+pip installs in October! Many thanks to all users and @anacondainc
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@bokeh
Bokeh Visualization Library
6 years
What a great start to 2018! Many thanks to everyone who uses and supports @BokehPlots !
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@bokeh
Bokeh Visualization Library
5 years
Bokeh 1.3 is released! New FileInput and DataCube widgets, expanded docs for Bokeh server security options, and more! #python #DataScience #dataviz
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@bokeh
Bokeh Visualization Library
4 years
A recent addition to our Showcase, Dan Kovacek's Flood Measurement Explorer is a great example of an interactive Bokeh dashboard using a range of different visualization types and tools. Thanks, Dan! #python #dataviz #datascience
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@bokeh
Bokeh Visualization Library
7 years
Great article about DataShader out recently @BokehPlots @HoloViews and #datashader make a terrific combination!
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@bokeh
Bokeh Visualization Library
7 years
Version 0.12.5 is released!
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@bokeh
Bokeh Visualization Library
5 years
Check out a review of Chartify, a awesome new Python charting library built on top of Bokeh, from @canavandl at
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@bokeh
Bokeh Visualization Library
4 years
Bokeh 2.2 is released! Changes include style updates, SVG export tweaks, and a new colormapping approach. See our blog post for the features and fixes in this update:
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@bokeh
Bokeh Visualization Library
4 years
We're excited to announce that Bokeh is one of the 17 CZI Essential OSS Round 3 grantees!
@cziscience
CZI Science
4 years
🚨 @ChanZuckerberg is funding 17 #OpenSource software projects used by thousands of scientists daily + three organizations advancing open science principles and practices
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@bokeh
Bokeh Visualization Library
7 years
@BokehPlots 0.12.9 now works in JupyterLab! But first needs an extension, run: "jupyter labextension install jupyterlab_bokeh" #dataviz
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@bokeh
Bokeh Visualization Library
8 years
Bokeh 0.11 is loose! Check out demo apps with the new server at #datavis #Python
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@bokeh
Bokeh Visualization Library
6 years
Thanks to a tip from @HoloViews it's now possible to launch live notebooks to run the code in the Bokeh Tutorial from your browser!
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@bokeh
Bokeh Visualization Library
7 years
Bit by bit, putting it together! Upcoming streaming for @HoloViews + @BokehPlots improves the art of making charts
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@bokeh
Bokeh Visualization Library
5 years
In line with our new cadence for smaller micro-releases, Bokeh 1.0.2 is available! Mostly a minor bugfix release, with several docs improvements from new contributors. Come stop by and see how your contributions can help Bokeh improve for everyone!
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@bokeh
Bokeh Visualization Library
7 years
Great hearing about @BokehPlots being used to replace C++ X-Windows apps at @LHCbExperiment !
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@bokeh
Bokeh Visualization Library
7 years
Super excited about the upcoming @HoloViews release, a data-centric very high level interface on top of @BokehPlots
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@bokeh
Bokeh Visualization Library
5 years
A neat @ProjectJupyter notebook using @BokehPlots and @HoloViews to describe the thermodynamics of seawater! #python
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@bokeh
Bokeh Visualization Library
7 years
#SciPy #SciPy2017 Interactive #DataViz with @HoloViews & Bokeh tutorial starts in 15min! @PhilippJFR @bigreddot
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@bokeh
Bokeh Visualization Library
5 years
Heads up! The Bokeh app demo site at has a brand new home at The new site has a streamlined deployment with @Docker and @aws_eb All docs have been updated to point at the new site, but if you navigate there by hand be sure to use the new URL! #dataviz
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@bokeh
Bokeh Visualization Library
2 years
We are excited to announce the release of Bokeh 2.4.3! This release focuses on WebGL improvements and some minor bugs and build issues. Learn more about the release here:
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@bokeh
Bokeh Visualization Library
5 years
It's a few months out, but the preparations for a Bokeh 2.0 release are already apace. Besides dropping Pyhon 2 support, there will be some other small changes made at the same time. We will lay out everything to expect in this major number bump in a blog post soon.
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@bokeh
Bokeh Visualization Library
5 years
The Bokeh project is one month in to having complete ownership of its CDN operations. (Many thanks to @anacondainc for many years of devops support!) 250GB and almost 5M requests, you all sure look at alot of Bokeh plots each month!
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@bokeh
Bokeh Visualization Library
5 years
The Bokeh app live-demo site has gotten a visual refresh, in a preview of attractions coming soon elsewhere! Take look and play around with some of the Bokeh apps hosted at #python #DataScience
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@bokeh
Bokeh Visualization Library
2 years
At #PyConUS2022 , @Anacondainc introduced PyScript ( @pyscript_dev ) to use Python in HTML. And it works with Bokeh!
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@bokeh
Bokeh Visualization Library
3 years
We have added support for JupyterLab >= 3.0! Install the latest JupyterLab extension with "pip install jupyter_bokeh" or "conda install -c conda-forge jupyter_bokeh".
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@bokeh
Bokeh Visualization Library
5 years
It took a bit longer than planned to make it "official", but check out the new logo on the Python 3 Statement! Bokeh 2.0 (later this year) will support Python 3.5+ only. Thanks to @brettsky for getting the ball rolling with a PR to add us!
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@bokeh
Bokeh Visualization Library
5 years
🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊 In the first ever July Fundraiser, you all raised near 1200 USD for Bokeh! These funds help to pay the costs of running CDNs, live demo sites, the project Discourse and more. THANK YOU THANK YOU THANK YOU!!! 🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊
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@bokeh
Bokeh Visualization Library
5 years
Our docs () are a great jumping-off point for figuring out how you can leverage Bokeh’s extensive dashboard capabilities, try out a new way to visualize your data, or learn how you can contribute to the project. #python #dataviz #oss #datascience
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@bokeh
Bokeh Visualization Library
5 years
The Bokeh user guide is broken up into handy topical sections, e.g. * categorical * data * glyphs * styling * server * interactions
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@bokeh
Bokeh Visualization Library
5 years
On the heels of the @NumFOCUS OSS Summit, Bokeh 1.4 is released! Check out new auth hooks and SSL termination features! (This is the final release to support Python 2.7) #Python #DataScience #dataviz
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@bokeh
Bokeh Visualization Library
4 years
Another Showcase project: collins has created an information-dense scientific data analysis dashboard app, using a variety of visualization types for interpreting physics data. Very nice work, collins! #python #OpenSource #DataScience
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@bokeh
Bokeh Visualization Library
6 years
@Bokehplots is delighted to be giving a workshop at @OpenVisConf 2018! This one will go beyond the basics and be tilted towards using Bokeh for streaming use cases. Sigh up at
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@bokeh
Bokeh Visualization Library
2 years
With Bokeh 3.0, we now support contour plots!🏔️ Thank you, Ian Thomas, for leading this work. :) Learn to create and animate contours here: And make sure to share your plots with us! 🙌
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@bokeh
Bokeh Visualization Library
5 years
Bokeh relies on paid cloud services to operate live demo sites, CI infrastructure, sample data downloads, and CDN hosting of BokehJS resources. Help defray these and other project costs by making a donation to @NumFOCUS today! #Python
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@bokeh
Bokeh Visualization Library
7 years
Humbling to reach this milestone. Thanks to all 250 past and present contributors, and pre-emptive thanks to the next 250!
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@bokeh
Bokeh Visualization Library
4 years
Bokeh Showcase addition: an interactive exploration from the Netherlands Comprehensive Cancer Organisation (IKNL). It's a fantastic example of how to customize Bokeh and integrate with other tools to produce beautiful, responsive data visualization.
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@bokeh
Bokeh Visualization Library
6 years
Check out the nice write up by @chris1610 about how to make Bullet and Waterfall charts with @BokehPlots
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@bokeh
Bokeh Visualization Library
4 years
With over 90k launches, the @bokeh tutorials were the sixth most popular notebooks on #mybinder in 2019! Check them out for yourself at #Python #DataViz #DataScience #OpenSource
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@bokeh
Bokeh Visualization Library
1 year
📢📢Bokeh 3.1 is now live!🎉🎉 This release includes: - Improved document events - Persistent selection overlays - New date, datetime and time pickers - Richer visuals for Text glyph …and additional updates! Check out the blog post:
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@bokeh
Bokeh Visualization Library
5 years
The Bokeh docs have a new home at ! (All old links will continue to work) This is just a first step. In the coming months we will be making a more mobile-friendly theme and adding back search. Come by if you would like to help out!
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@bokeh
Bokeh Visualization Library
4 years
1M pip installs in one month for the first time! Although Bokeh has its roots firmly in the PyData world, this milestone shows how Bokeh is being used by an increasingly diverse group of users. Come join our active community at #Python #dataviz
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@bokeh
Bokeh Visualization Library
7 years
Excited to announce @BokehPlots 0.12.4 is released! Lots of good new stuff: Thanks to all new contributors!
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@bokeh
Bokeh Visualization Library
7 years
An interactive image processing webapp in ~30 lines of pure Python? Only with @BokehPlots and @numba_jit ! #dataviz
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@bokeh
Bokeh Visualization Library
5 years
"adaptive has already been used in several scientific publications.. I've been running simulations with >30k cores on @Azure and saved millions of CPU hours." Love to see people show off their exciting work using @BokehPlots ! Check out a live Binder
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@bokeh
Bokeh Visualization Library
4 years
Our docs () are a great jumping-off point for figuring out how you can leverage Bokeh’s extensive dashboard capabilities, try out a new way to visualize your data, or learn how you can contribute to the project. #python #dataviz #oss #datascience
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@bokeh
Bokeh Visualization Library
5 years
Some folks came through at the end of #Scipy2019 ! We are back on track at 37% through the month and 37% to our goal of 1000USD. If 60 people hit the $10 button we can pay all the infrastructure costs (e.g. the BokehJS CDN) for a year! #Python #dataviz
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@bokeh
Bokeh Visualization Library
4 years
Well this all happened very quickly but PSA we are now @bokeh !!! 🎊🎊🎊
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@bokeh
Bokeh Visualization Library
5 years
We are having a (first annual?) July Fundraiser! Bokeh relies on paid cloud services to function. Help us raise 1000 USD to cover these and other costs for the next year! We will be updating progress towards to goal all though the month! #Python #pydata
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@bokeh
Bokeh Visualization Library
9 months
It has been wonderful having @AkoritaI with us as part of @outreachy this summer 🥳 Thank you for showcasing Bokeh in action through reproducing plots from Claus Wilke’s book, Fundamentals of Data Visualization! Check out his final thoughts below!
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@bokeh
Bokeh Visualization Library
5 years
We have so many talented data scientists and developers in our user community with great ideas for improving the project. Our newest post at is all about helping new contributors find a way to take part in the ongoing improvement of Bokeh! #python #dataviz
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@bokeh
Bokeh Visualization Library
4 years
Our GitHub sponsored org status has been approved! Individuals and businesses can now pledge monthly support to ensure continued development of Bokeh. Donations will go towards infrastructure and development costs, and the donation tiers can be seen here:
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@bokeh
Bokeh Visualization Library
3 years
Bokeh 2.3.3 is now released and ready! Updates include some fixes to layouts and documentation expansion and clarification. See the full list of changes in the release notes:
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@bokeh
Bokeh Visualization Library
5 years
Bokeh 1.1dev2 is available to install and test with This includes a huge refactor to the layout system. In order to make sure any bumps are smoothed out by the final release, we need your help to install and test with dev builds!
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@bokeh
Bokeh Visualization Library
8 years
New blog post! A handy guide and overview of all the community resources:
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@bokeh
Bokeh Visualization Library
6 years
Many thanks to new contributor xavArtley — for the first time Bokeh tests now are up and running continuously on Windows! Like all OSS, @BokehPlots relies on the wisdom of a crowd, so please lend your expertise to the community!
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@bokeh
Bokeh Visualization Library
4 years
A very impressive recent addition to our Showcase is Dan Cutright's analytics app for radiation oncology clinics, featuring several different visualization types. Visit our Showcase for screenshots, and a link to the project to try it out. Thanks, Dan!
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