Research software code is likely to remain a tangled mess

• osmnx

  14 4,663 9.6 Python

  OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

A nice counter example of research software code that adheres to general software engineering best practices and is easy to pick up and use is the OSMNX project: https://github.com/gboeing/osmnx

Props to Geoff for setting a nice standard.

• seurat

  13 2,118 9.7 R

  R toolkit for single cell genomics

  

Keep in mind that there're different kinds of research software. Take Seurat[1] as an example. There's CI, issue tracking, etc. It might not be the prettiest code you ever seen, but it absolutely has to be maintainable as it's being actively developed. Such projects are rare, but the low quality is often an indication of a software that isn't used by anyone.

1. https://github.com/satijalab/seurat

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• ck

  9 579 10.0 Python

  Collective Mind (CM) is a simple, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to compose, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware (by mlcommons)

  

– Their solution product https://cknowledge.io/ and source code https://github.com/ctuning/ck\

I guess it should be helpful to the researchers community.

• frontends-team-compass

  3 53 6.9

  A repository for team interaction, syncing, and handling meeting notes across the JupyterLab ecosystem.

  

Suggest a related project