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Analyze donnemartin/data-science-ipython-notebooks

donnemartin/data-science-ipython-notebooksdata-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.

Overview

Summary of the overall repo health

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Adoption

Metrics on how many people know and interact with the repo

Stars
26,145
Open Issues
35
Forks
7,750

Top 1% by stars on GitHub

Contribution

Top Contributors

Top 10 contributors to the repo and their shares

Commits Properties

Metrics showing the quality of commits distribution

Bus Factor

Serious Ratio

Bus factor is less than 10

Diversity

Geo Distribution

Top locations by number of contributors and commits

Org Distribution

Top organizations contributing to the repo

Governance

Community governance docs check

Description
Website
Code of Conduct
Contributing.md
Issue Template
PR Template
License
README

Less than half checks (3/8)