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-0.1.4.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

papers-0.1.4-py2.py3-none-any.whl (14.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file papers-0.1.4.tar.gz.

File metadata

  • Download URL: papers-0.1.4.tar.gz
  • Upload date:
  • Size: 13.7 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-0.1.4.tar.gz
Algorithm Hash digest
SHA256 7687c56906c3badbf4a10d8efcfb2f328b0a900d39e2ca8be5ecd0c4a5b46f22
MD5 03b14d6c1e306dc4a7587907a34499e9
BLAKE2b-256 b4fb37477d1b3a1e77674de2f034acdacfc5ceb89eda546fbadc40456126a9f3

See more details on using hashes here.

File details

Details for the file papers-0.1.4-py2.py3-none-any.whl.

File metadata

  • Download URL: papers-0.1.4-py2.py3-none-any.whl
  • Upload date:
  • Size: 14.8 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-0.1.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 898d0939f2ddf3a89bb4924ff9e3154ab996d2f5fdb6c7abe72846e27b614f30
MD5 7e6af49fa4e17f9f1381f52e895aea26
BLAKE2b-256 36ea865d3b14b067dd33a12537a844fdd48e08fb41b60732de5745ff134fd818

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