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-0.2.0.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

papers-0.2.0-py2.py3-none-any.whl (14.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file papers-0.2.0.tar.gz.

File metadata

  • Download URL: papers-0.2.0.tar.gz
  • Upload date:
  • Size: 13.8 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-0.2.0.tar.gz
Algorithm Hash digest
SHA256 81edcfde90d4188d5dfeaf936152ba08f471f5daacf98882380fdefcc80177b5
MD5 4d9409477ddc9308daa91d793e9353a4
BLAKE2b-256 e0a0ac668481b9d579e39cab759d328786f44f882b1440e090e2f71de0970bf5

See more details on using hashes here.

File details

Details for the file papers-0.2.0-py2.py3-none-any.whl.

File metadata

  • Download URL: papers-0.2.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 14.9 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-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e36cc5c36ad65b94dc512de3b448a92c1363e96dc49d1c345b2d400d87dded76
MD5 15b71165ddd18c50eeba83bc710b5380
BLAKE2b-256 94fb32e7fc8636e120152ad854b19264254723f8a861a3cc37a13ca2f8b508ec

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