DE
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
28.6k 5.0k +5/wk
GitHub
book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing
Trend
3
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
d2l-ai/d2l-en has +5 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | d2l-en | langgraph | machine-learning-for-software-engineers | applied-ml |
|---|---|---|---|---|
| Stars | 28.6k | 28.7k | 28.7k | 28.8k |
| Forks | 5.0k | 4.9k | 6.2k | 3.8k |
| Weekly Growth | +5 | +76 | +4 | -1 |
| Language | Python | Python | N/A | N/A |
| Sources | 1 | 2 | 1 | 2 |
| License | NOASSERTION | MIT | CC-BY-SA-4.0 | MIT |
Capability Radar vs langgraph
d2l-en
langgraph
Maintenance Activity 0
Last code push 599 days ago.
Community Engagement 88
Fork-to-star ratio: 17.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+5 stars this period — 0.02% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.