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Skill comparison

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Comparing 1 skill

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Decision summary

Data Science Ipython Notebooks is the strongest overall pick here because it has a 83/100 readiness score and fits GitHub automation.

Strongest overall

Data Science Ipython Notebooks

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Fastest prototype

Data Science Ipython Notebooks

Best first install candidate based on install readiness and adoption.

Freshest repo

Data Science Ipython Notebooks

Most recent maintenance signal among this shortlist.

SignalData 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.

Quality
81/100
Strong
Decision verdict
83/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption29K stars
0 installs
FreshnessMar 20, 2024
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add donnemartin/data-science-ipython-notebooks