The Jupyter community recently received several awards as part of CZI’s Essential Open Source Software grant series. We should write up a short blog post that highlights these awards and gives recognition to the groups that stewarded them!
Here’s draft copy (below) for a blog post that I’d like to post on the Jupyter blog. Sharing the language here in case others have feedback or comment (particularly @trallard and @carreau who were leads on two of the awards!)
- Are we missing any important points below?
- Is there anybody we should thank that we haven’t mentioned below?
- Am I appropriately characterizing the work that’ll be done in the accessibility/documentation grants?
- Are there any links or action-items that I am missing below?
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!
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. @trallard, @isabela-pf, and @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 and administered by the team at QuanSight Labs.
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 and administered by the team at QuanSight Labs.
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 some best-practices with others in Jupyter and in the broader PyData ecosystem. This effort was led by @choldgraf and @sgibson91 (and Sarah will serve as our community strategic lead during this proposal!). You can follow along with this work in the JupyterHub Team Compass and find the original text of this proposal here. This grant will be led by members of the 2i2c team and administered by 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.