DS
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
29.0k 8.0k +3/wk
GitHub
aws big-data caffe data-science deep-learning hadoop kaggle keras machine-learning mapreduce matplotlib numpy
Trend
3
Star & Fork Trend (26 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
donnemartin/data-science-ipython-notebooks has +3 stars this period . 7-day velocity: 0.0%.
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| Metric | data-science-ipython-notebooks | awesome-datascience | applied-ml | machine-learning-for-software-engineers |
|---|---|---|---|---|
| Stars | 29.0k | 28.8k | 28.8k | 28.7k |
| Forks | 8.0k | 6.4k | 3.8k | 6.2k |
| Weekly Growth | +3 | +3 | -1 | +3 |
| Language | Python | N/A | N/A | N/A |
| Sources | 1 | 1 | 2 | 1 |
| License | NOASSERTION | MIT | MIT | CC-BY-SA-4.0 |
Capability Radar vs awesome-datascience
data-science-ipython-notebooks
awesome-datascience
Maintenance Activity 0
Last code push 749 days ago.
Community Engagement 100
Fork-to-star ratio: 27.7%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.