Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
Ddata-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.
Popularity
Repository stars29,38654,245Highest
7-day net stars——
Fork7,999Highest6,637
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-03-202026-10-31
Maintenance notesNot verifiedUnknown
Repository created2015-01-232025-12-28
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesLearning & resources · Office & knowledge
TypeApps & systemsApps & systems
SubcategoryReading & learningReading & learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonPython
About this projectData 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.An AI tutoring project focused on ongoing personalized learning.
Measured at2026-11-02 19:02 UTC2026-11-02 19:27 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.