rigorous — Agent Tool by Agentic-Systems-Lab

by Agentic-Systems-Lab · Agent Tool · ★ 239

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About rigorous

A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.

academic-paperacademic-writingai-agentsai-toolsllmmanuscript-analysespythonresearchscience

Quick Facts

Stars239
Forks17
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score41.75/100
Open Issues3
Last Updated2025-08-08
Created2025-04-09
Platformspython
Est. Tokens~12k

rigorous alternative? Top 6 similar tools

Looking for a rigorous alternative? If you're comparing rigorous with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • bibfixer by takashiishida · ⭐ 174

    A Python tool that automatically cleans, completes, and standardizes BibTeX entries using LLMs and web search.

  • Hegelion by Hmbown · ⭐ 137

    Dialectical reasoning architecture for LLMs (Thesis → Antithesis → Synthesis)

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Frequently Asked Questions

What is rigorous?

rigorous is A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.. It is categorized as a Agent Tool with 239 GitHub stars.

What programming language is rigorous written in?

rigorous is primarily written in Python. It covers topics such as academic-paper, academic-writing, ai-agents.

How do I install or use rigorous?

You can find installation instructions and usage details in the rigorous GitHub repository at github.com/Agentic-Systems-Lab/rigorous. The project has 239 stars and 17 forks, indicating an active community.

What license does rigorous use?

rigorous is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to rigorous?

The top alternatives to rigorous on Agent Skills Hub include claude-prism, ScienceClaw, sgr-agent-core. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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