asta-paper-finder vs feynman

Research paper discovery and AI research workflows compared

asta-paper-finder finds and ranks papers from a single natural-language query, while feynman is a command-line agent for broader research tasks such as literature reviews, paper critique, and source comparison. asta-paper-finder is a frozen Python evaluation release; feynman is a TypeScript tool that runs on Pi and requires a configured model provider.

asta-paper-finderfeynman
LanguagePythonTypeScript
LicenseApache-2.0MIT
Stars2479.9k
Forks311.1k
Last analyzedOct 3, 2026Oct 3, 2026

Key differences

  • asta-paper-finder focuses on single-query paper search and ranking; feynman supports a wider set of research workflows, including literature reviews and draft reviews.
  • asta-paper-finder evaluates retrieved abstracts and snippets against query criteria; feynman uses researcher, verifier, reviewer, and writer agents, with provenance files for selected workflows.
  • asta-paper-finder is written in Python and licensed under Apache-2.0; feynman is written in TypeScript and licensed under MIT.
  • asta-paper-finder exposes a FastAPI endpoint and requires credentials for OpenAI, Semantic Scholar, Cohere, and Google; feynman is a CLI that runs on Pi and requires a model provider.
  • asta-paper-finder is a frozen snapshot that may differ from the live service; feynman is not archived and describes citation checks and provenance for some workflows.

Choose asta-paper-finder if you…

  • need a locally runnable, single-query paper-search workflow for evaluation or reproduction.
  • want to rank candidate papers by content relevance and criteria such as date or influence.
  • can configure the required external-service credentials and accept the limits of a frozen release.
Read the asta-paper-finder analysis →

Choose feynman if you…

  • want to investigate topics, build literature reviews, or compare claims across sources.
  • need structured paper or draft feedback with severity levels and a revision plan.
  • want research outputs with citations and source provenance for selected workflows, and can configure a model provider.
Read the feynman analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.