AD
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
28.8k 6.4k +3/wk
GitHub
analytics awesome-list data-mining data-science data-scientists data-visualization deep-learning hacktoberfest machine-learning science
Trend
3
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
academic/awesome-datascience has +3 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | awesome-datascience | applied-ml | machine-learning-for-software-engineers | langgraph |
|---|---|---|---|---|
| Stars | 28.8k | 28.8k | 28.7k | 28.7k |
| Forks | 6.4k | 3.8k | 6.2k | 4.9k |
| Weekly Growth | +3 | -1 | +3 | +74 |
| Language | N/A | N/A | N/A | Python |
| Sources | 1 | 2 | 1 | 2 |
| License | MIT | MIT | CC-BY-SA-4.0 | MIT |
Capability Radar vs applied-ml
awesome-datascience
applied-ml
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 100
Fork-to-star ratio: 22.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+3 stars this period — 0.01% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.