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drpwchen/paper-fetch

Publisher-aware full-text PDF fetcher — DOI in, PDF out via OA → publisher TDM APIs → your own institutional proxy. Download end of a paper pipeline; pair with paper-radar (discovery) and paper-review

Commercial OK · MITRuns on MacPython
Stars
66
Forks
12
Open issues
1
Last push
4d ago

paper-fetch star history

+0 this week

66 ★
23 Oct28 Oct
paper-fetch went from 66 to 66 GitHub stars over the last 5 days.

About paper-fetch

paper-fetch is a free, open-source AI coding tool by drpwchen, written mainly in Python. Publisher-aware full-text PDF fetcher — DOI in, PDF out via OA → publisher TDM APIs → your own institutional proxy. Download end of a paper pipeline; pair with paper-radar (discovery) and paper-review. It has 66 GitHub stars and 12 forks, and was last updated 4d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.

License
MIT
Commercial use
Commercial OK
Language
Python
Stars
66
Last update
4d ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not stated
Self-hostable
Yes

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paper-fetch FAQ

Can I use paper-fetch commercially?

Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is paper-fetch free?

Yes. paper-fetch is open source and free to use. It's released under the MIT license, a standard open-source license.

Does paper-fetch run on a Mac?

Yes. According to the project, paper-fetch works on macOS.

Does paper-fetch need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is paper-fetch still maintained?

Yes. It was last updated 4d ago and has 1 open issues on GitHub.

What are alternatives to paper-fetch?

Similar free, open-source tools include academic-research-skills, claude-code, claude-skills, claude-code-templates.

Maintain paper-fetch?

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