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Stars gained: From Apr 27, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 27, 2026 to Nov 3, 2026, each from zero0200400Apr 27Nov 3, 2026ma-shamshiri/Spam-Detectorplotly/plotly.py
Stars: The star count at the end of each dayStarsThe star count at the end of each day010K20KApr 25Nov 3, 2026ma-shamshiri/Spam-Detectorplotly/plotly.py

Facts

Factma-shamshiri/Spam-Detector

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

plotly/plotly.py

The interactive graphing library for Python :sparkles:

Stars4518,875
Net stars, last 30 days0+64
Largest star day+1 on Apr 27, 2026+9 on May 12, 2026
Milestone reached in the recordNoneNone
Forks1152,890
LanguagePythonPython
LicenseNo licenseMIT
CreatedMay 13, 2020Nov 21, 2013
Last pushAug 21, 2022Nov 3, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)3 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files0 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data315
Weeks with commits, last 52No data51 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: jupyter-notebook, python. 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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