Skip to main content

Simple reference manager in Python

Project description

PyPI version GitHub license

Papers

Simple reference manager in Python. Uses folders instead of a database, storing bibliographic information in bibtex. Generates a website to browse papers.

Demo

Website generated from bibliography stored in demo/:

Screenshot

Installation

$ pip install papers

In addition, ImageMagick needs to be installed in order to generate PDF previews. Note that you may need to grant special permissions for ImageMagick to read PDF files on Linux.

Usage

Import papers from arXiv using an identifier, or import PDFs using URLs:

$ papers-import --path ~/Papers arxiv ID
$ papers-import --path ~/Papers pdf URL --title ...

See papers-import --help for full list of options.

The bibliography can be exported to a single bib-file, or a website containing the full index:

$ papers-export --path ~/Papers bib
$ papers-export --path ~/Papers web

See papers-export --help for full list of options.

Credits

Previews inspired by Andrej Karpathy's Arxiv Sanity Preserver.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

papers-0.1.2.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

papers-0.1.2-py2.py3-none-any.whl (12.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file papers-0.1.2.tar.gz.

File metadata

  • Download URL: papers-0.1.2.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200616 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for papers-0.1.2.tar.gz
Algorithm Hash digest
SHA256 283ecb0dcaf75b4d4ab2ab1c9d5bec4267113b1a46095fe255941c0c2a58a351
MD5 1cdd66b64289d49c607e96840a2e8c9c
BLAKE2b-256 1ca705acb5d269b2dfaae0425e4dd24a7ca396069db8c30f16e8cd9a1a65aaee

See more details on using hashes here.

File details

Details for the file papers-0.1.2-py2.py3-none-any.whl.

File metadata

  • Download URL: papers-0.1.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 12.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200616 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for papers-0.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 05356617aa0ae1ee3da906c5a405abadb2b635525c5a734b63b61d0786debabe
MD5 e8710466a7e9378f9f426b310dc47161
BLAKE2b-256 ef049b1d4b1ef14d7d2ca225923d705daaa100d1063ad8031a3b5022aa9035ec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page