Research software code is likely to remain a tangled mess

• osmnx

  14 4,706 9.5 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 2,147 9.6 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

• Scout Monitoring

  www.scoutapm.com featured

  Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

  

• ck

  9 580 10.0 Python

  Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, 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 54 6.6

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

  

Suggest a related project