STORM: Features, Pricing & Alternatives

What is STORM?

STORM is a Citation Management tool that generates full-length reports with citations on a topic. STORM is free to use. It is aimed at researchers, academics and data analysts.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. It is designed for academic and research purposes, offering structured outputs and integration with various datasets.

Built for researchers, academics and data analysts.

Key capabilities

Features

Citation Generation
Creates citations for sources used in reports.
Report Generation
Produces full-length reports on researched topics.
Dataset Integration
Pipeline Customization
Example Scripts
Provides example scripts for quick start.

Use cases

Generate a full-length report with citations on a specific topic
Research a topic and produce structured academic output
Integrate datasets into the research process for comprehensive analysis

Who it's for

Pros & cons

Pros

Free (open source)
Integration with datasets

Cons

No documented limitations yet.

Pricing

Free.

Developer & API

Open source· 31.6K stars· 3K forks

Source code

FAQ

What is STORM?

STORM is a Citation Management tool that generates full-length reports with citations on a topic. An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. It is designed for academic and research purposes, offering structured outputs and integration with various datasets.

Is STORM free?

Yes, STORM is free to use.

How much does STORM cost?

STORM is free to use.

Who should use STORM?

STORM is built for researchers, academics and data analysts. Common uses: generate a full-length report with citations on a specific topic, research a topic and produce structured academic output and integrate datasets into the research process for comprehensive analysis.

Is STORM open source?

Yes, STORM is open source.

What are the best alternatives to STORM?

Similar tools on AiByts include alphaxiv, Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David, note.md, Nouswise and Fred - The User Research Shepherd.