30-day-map-challenge VS machine_learning_complete

Compare 30-day-map-challenge vs machine_learning_complete and see what are their differences.

30-day-map-challenge

Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools (by Lisa-Ho)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
30-day-map-challenge machine_learning_complete
2 2
70 4,507
- -
8.2 5.9
4 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

30-day-map-challenge

Posts with mentions or reviews of 30-day-map-challenge. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_complete

Posts with mentions or reviews of machine_learning_complete. We have used some of these posts to build our list of alternatives and similar projects.