NumFOCUS is pleased to announce recipients of the third and final round of small development grants for 2018. Eligibility for these grants is limited to our Sponsored and Affiliated Projects. This year, NumFOCUS distributed $60,000 in small developments grants to help our projects improve usability, grow their communities, and speed up the time to major releases. (Read about the first round and second round recipients.)

Your Support Makes a Difference

The NumFOCUS Small Development Grants program is made possible thanks to the generosity of our donors. You can support the ongoing development of the projects by becoming a Supporting or Sustaining Member of NumFOCUS.

Learn more about NumFOCUS membership here.

Community Education and Engagement

Open Journals: Open Journals website update
— $2,800

(NumFOCUS Sponsored Project)

The JOSS and JOSE websites were developed in a very short period about two years ago and are showing their age. There are a number of user-satisfaction challenges with the current website layouts including:

  • (Poor) responsiveness of website on smaller screen sizes
  • Lack of ability to search papers/filter content
  • General poor usability/UX challenges with content
  • Lack of a clear style guide for generating new content views

We would like to engage with an external contractor to redevelop the JOSS (and JOSE) websites, updating the views to be based on the modern Bootstrap 4 CSS framework and solving the challenges outlined above.

JOSS is now close to accepting its 400th submission. The work we want to get done here addresses many of the general grumbles that we hear from our users about the usability and features of the JOSS website.

This proposal is to redevelop the JOSS website views, cleaning up a bunch of old code, and giving us a good foundation for future growth.

Gensim: FastText tutorials
— $3,000

(NumFOCUS Affiliated Project)

FastText is one of the most popular machine learning algorithms for unsupervised text processing, originally released by Facebook as a successor to Word2Vec