Skip to main content

A tool for fetching and visualizing publication trends from ScienceDirect

Project description

SciDirectTrends

PyPI MIT License PR's Welcome GitHub Repo stars PyPI - Downloads

A tool for fetching and visualizing publication trends from ScienceDirect.

Requirements

  • Python 3.6 or higher
  • Access to ScienceDirect

Quick Start

First, ensure Python 3.6+ is installed on your system. You can download Python from the Official Python Website.

To install SciDirectTrends:

$ pip install -U SciDirectTrends

Use -U to update SciDirectTrends to the latest version

Usage

Basic command to visualize publication trends:

$ scidirecttrends --query "your query here"

Customize the visualization:

$ scidirecttrends --title "Custom Title" --query "your query here" --output "trend.png"

Features

Fetches publication data from ScienceDirect based on a user-defined query. Generates visualizations of publication trends over time. Customizable visualization titles and output formats.

Contributions

Contributions to SciDirectTrends are highly appreciated. If you're interested in contributing, feel free to fork the repository, make changes, and create a pull request.

If you need help or have suggestions, please contact me:

Email: alireza.beigy.rb@gmail.com Telegram: @AliRezaBeigy

License

This project is licensed under the MIT License - see the LICENSE file for details.

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

SciDirectTrends-1.0.0.tar.gz (4.6 kB view details)

Uploaded Source

Built Distribution

SciDirectTrends-1.0.0-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file SciDirectTrends-1.0.0.tar.gz.

File metadata

  • Download URL: SciDirectTrends-1.0.0.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for SciDirectTrends-1.0.0.tar.gz
Algorithm Hash digest
SHA256 6e259f15c8cda7accc722ecbe4896ff8e9e21092152470c9ff707bcdd70abc47
MD5 a6e948ca9d2e391eda2a37448aca41a0
BLAKE2b-256 66a30c6c7903cdf261e83e8f1efdf24e14aafc64934a740002ae42214ef8a108

See more details on using hashes here.

File details

Details for the file SciDirectTrends-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for SciDirectTrends-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c3aa95452e3dcf95c14ffcef40fb1fb44830384ec273e3900e21ab1e868f93a2
MD5 879dd1872d9f2024036a7bc439d0d297
BLAKE2b-256 22e93b73713381c25238f85b853600c3b37ea417b1da496557597d726a981afe

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