nhtlongcs/StarListify
StarListify is a Python package that classifies GitHub stars history into organized category lists based on user-defined criteria.
This tool helps organize your vast collection of GitHub starred repositories into neat, categorized lists. It takes your starred projects and, based on your stated preferences and the repository's README content, sorts them into custom lists. Anyone who uses GitHub to save interesting projects for future reference, like researchers, competitive programmers, or anyone building a personal knowledge base, would find this useful.
No commits in the last 6 months.
Use this if you have hundreds or thousands of starred GitHub repositories and want an automated way to categorize and manage them directly in your GitHub account.
Not ideal if you rarely star repositories or prefer a completely manual method for organizing your saved projects.
Stars
38
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/nhtlongcs/StarListify"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
3inchtime/douban_sentiment_analysis
基于朴素贝叶斯实现的豆瓣影评情感分析
MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset...
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking...
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users...
Robin-WZQ/Text-sentiment-polarity-judgment
基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断(酒店评论语料)