datascience and Awesome-Data-Science
These are competitors—both are curated lists of Python data science resources with overlapping scope, so users would select one based on curation quality and comprehensiveness rather than using them together.
Maintenance
13/25
Adoption
10/25
Maturity
16/25
Community
23/25
Maintenance
10/25
Adoption
10/25
Maturity
16/25
Community
18/25
Stars: 4,592
Forks: 709
Downloads: —
Commits (30d): 2
Language: —
License: CC0-1.0
Stars: 156
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package
No Dependents
No Package
No Dependents
About datascience
r0f1/datascience
Curated list of Python resources for data science.
About Awesome-Data-Science
natnew/Awesome-Data-Science
Carefully curated list of awesome data science resources.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work