Bokeh 3.0 is out! ๐โจ
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:
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
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.
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:
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
Bokeh 2.3 is out! ๐This is a big release, with a lot of features, fixes, and docs improvements based on user feedback. See the list on the Bokeh blog:
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:
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
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!
Have you browsed our tutorials yet? Theyโre 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
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!
Well, I guess this happened overnight. ๐ฎ
๐๐๐๐๐๐๐๐
Thank you, thank you, thank you, to all the users, contributors, and supporters over the last ~7 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
!
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!
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!
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
๐จ
@ChanZuckerberg
is funding 17
#OpenSource
software projects used by thousands of scientists daily + three organizations advancing open science principles and practices
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:
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!
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
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.
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:
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
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!
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!
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".
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
๐๐๐๐๐๐๐๐๐๐๐๐๐๐
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!!!
๐๐๐๐๐๐๐๐๐๐๐๐๐๐
@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
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
Our docs () are a great jumping-off point for figuring out how you can leverage Bokehโs 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
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
With Bokeh 3.0, we now support contour plots!๐๏ธ
Thank you, Ian Thomas, for leading this work. :)
Learn to create and animate contours here:
And make sure to share your plots with us! ๐
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!
๐ข๐ขBokeh 3.1 is now live!๐๐
This release includes:
- Improved document events
- Persistent selection overlays
- New date, datetime and time pickers
- Richer visuals for Text glyph
โฆand additional updates!
Check out the blog post:
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
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.
"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
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
Our docs () are a great jumping-off point for figuring out how you can leverage Bokehโs 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
It has been wonderful having
@AkoritaI
with us as part of
@outreachy
this summer ๐ฅณ
Thank you for showcasing Bokeh in action through reproducing plots from Claus Wilkeโs book, Fundamentals of Data Visualization!
Check out his final thoughts below!
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
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
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!
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:
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:
Many thanks to new contributor xavArtley โ 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!
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!