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Stars gained: From May 12, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 13, 2026, each from zero0200400May 12Nov 13, 2026collabH/bigdata-growthdonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day020KApr 26Nov 13, 2026collabH/bigdata-growthdonnemartin/data-science-ipython-notebooks

Facts

Fact collabH/bigdata-growth

大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。

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.

Stars 1,84129,391
Net stars, last 30 days +10+30
Largest star day +3 on Jul 28, 2026+16 on May 20, 2026
Milestone reached in the record NoneNone
Forks 3967,995
Language PythonPython
License MITOther license
Created Jun 10, 2020Jan 23, 2015
Last push Apr 18, 2026Mar 20, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: mapreduce, spark, hadoop. 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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