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Stars gained: From May 8, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 14, 2026, each from zero050100May 8Nov 14, 2026jadianes/spark-py-notebooksh2oai/h2o-3
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.5K5K7.5KApr 26Nov 14, 2026jadianes/spark-py-notebooksh2oai/h2o-3

Facts

Fact jadianes/spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Stars 1,6617,525
Net stars, last 30 days +2+18
Largest star day +1 on Jun 21, 2026+3 on May 26, 2026
Milestone reached in the record NoneNone
Forks 9022,021
Language Jupyter NotebookJupyter Notebook
License Other licenseAPACHE-2.0
Created May 6, 2015Mar 3, 2014
Last push Mar 16, 2024Nov 11, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: spark, python, data-science, machine-learning, big-data. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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