The Jupyter community is pleased to announce that members of its community have received three awards from the CZI Essential Open Source Software grant series. This grant series has previously funded work in the Jupyter ecosystem such as real-time collaboration in JupyterLab and JupyterHub’s Contributor in Residence pilot. Read below for a brief overview of the recently-funded proposals!

CZI’s Essential Open Source Software for Science program supports software maintenance, growth, development, and community engagement for critical open source tools.

Accessibility in Jupyter

One of the biggest challenges in building complex web-based applications is ensuring that they are accessible to a broad and diverse audience of users. Improving accessibility requires dedicated time and significant expertise in understanding the major challenges to overcome. Tania (@trallard), Isabela (@isabela-pf), and Tony (@tonyfast) were recently awarded an EOSS award to dedicate time and development towards making Jupyter tools more accessible. You can follow some of their work in the Accessibility repository and see the original text of this proposal here. This grant will be led by Tania, Isabela, and Tony (each at QuanSight Labs), and administered by the team at QuanSight Labs.

Interactive documentation

Because Jupyter is a dynamic and web-based interface, you can do a lot more with interactive documentation than is possible on traditional static websites. @carreau was awarded an EOSS grant to improve the state of interactive documentation within Jupyter. You can check out some of his early ideas in this blog post. This grant will be led by Matthias Bussonnier at QuanSight Labs, and administered by the team at QuanSight Labs.

Community strategic support for JupyterHub

The JupyterHub community built off of its Contributor in Residence pilot to propose a dedicated role for designing and developing community strategy for the JupyterHub sub-project. This role will spearhead efforts to ensure that there are inclusive and effective pathways into and throughout the JupyterHub community, with the goal of sharing best-practices with others in Jupyter and PyData ecosystems. You can follow along with this work in the JupyterHub Team Compass and find the original text of this proposal here. This effort will be led by Sarah Gibson(@sgibson91)and Chris Holdgraf (@choldgraf) (both at 2i2c), and Sarah will serve as our first community strategic lead. The grant will be administered by the team at NumFocus.

Congrats to the recipients of these awards, we’re excited to see what comes out of this work! And many thanks to all of the community members that helped write and refine these proposals.