Scholar-Watcher VS tubestats

Compare Scholar-Watcher vs tubestats and see what are their differences.

Scholar-Watcher

A web app for watching the authors' google scholar, which is based on scholarly and streamlit. (by QGrain)

tubestats

An application that provides statistics for a YouTube channel (by shivan-s)
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Scholar-Watcher tubestats
1 1
7 11
- -
0.9 0.0
about 1 year ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Scholar-Watcher

Posts with mentions or reviews of Scholar-Watcher. We have used some of these posts to build our list of alternatives and similar projects.

tubestats

Posts with mentions or reviews of tubestats. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Scholar-Watcher and tubestats you can also consider the following projects:

PyPaperBot - PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.

auth-simple-for-streamlit - A simple username/password database authentication solution for Streamlit

resp - Fetch Academic Research Papers from different sources

DocumentGPT - DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.

playground - A Streamlit application to play with machine learning models directly from the browser