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Stars gained: From May 10, 2026 to Nov 8, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 8, 2026, each from zero02K4KMay 10Nov 8, 2026sngyai/Sequoia-Xdonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K20K30KApr 26Nov 8, 2026sngyai/Sequoia-Xdonnemartin/data-science-ipython-notebooks

Facts

Fact sngyai/Sequoia-X

A股自动选股系统 — 多种技术形态自动扫描,收盘后自动运行并推送飞书

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 8,59629,386
Net stars, last 30 days +647+37
Largest star day +396 on Sep 2, 2026+16 on May 20, 2026
Milestone reached in the record 5,000 on Jul 20, 2026None
Forks 1,7057,997
Language PythonPython
License No licenseOther license
Created Jul 20, 2018Jan 23, 2015
Last push Jul 10, 2026Mar 20, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks1 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 check0 of 1 check
Health facts: Community files 0 of 3 checks1 of 3 checks
Commits, last 13 weeks 00
Weeks with commits, last 52 7 of 520 of 52
In the Repository Index since Nov 7, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: python, pandas. 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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