Skip to main content

Kirsche is a python package to build up connections between papers.

Project description

kirsche

Kirsche is a python package to build up connections between papers.

How to Use

  • Install the package: pip install kirsche
  • In your command line, run kirsche --help to see possible commands.

Demo

Lu H, Shaner S, Otte E, Asplund M, Vlachos A. A microfluidic perspective on conventional in vitro transcranial direct current stimulation methods. J Neurosci Methods. 2022; 109761. doi:10.1016/j.jneumeth.2022.109761

Caveats

About SemanticScholar API

We are using SemanticScholar API to get the paper metadata. The API has some rate limits (100 requests per 5 minutes).

A possible workaround for large number of papers is to split them into batches.

Todo:

  • Use API keys from SemanticScholar.

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

kirsche-0.2.9.tar.gz (14.7 kB view details)

Uploaded Source

Built Distribution

kirsche-0.2.9-py3-none-any.whl (19.2 kB view details)

Uploaded Python 3

File details

Details for the file kirsche-0.2.9.tar.gz.

File metadata

  • Download URL: kirsche-0.2.9.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.4 Linux/6.5.0-1025-azure

File hashes

Hashes for kirsche-0.2.9.tar.gz
Algorithm Hash digest
SHA256 4423343f096849afe1d3a97bafc60e6578792a4a64eee795f6452f7536a61932
MD5 d57e5071a159aed8945f20afc0882205
BLAKE2b-256 b563743bf02adb74f88017880caa2c6620f5c3b3149527fa594adf59d556d528

See more details on using hashes here.

File details

Details for the file kirsche-0.2.9-py3-none-any.whl.

File metadata

  • Download URL: kirsche-0.2.9-py3-none-any.whl
  • Upload date:
  • Size: 19.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.4 Linux/6.5.0-1025-azure

File hashes

Hashes for kirsche-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 f09aed4bce7c9ea3c5821e672eecae2f31d4b7dd1825bf9b53bb280b949a5299
MD5 ff969e8b7ba46f5cc83151eb341ce603
BLAKE2b-256 71d1fb24874755b3e7d2307ec1b2832500ee811f807e02c1d2ff1c8e5656bada

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