julyanxu/scihubeva

A Cross Platform Sci-Hub GUI Application

Sci-Hub EVA

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Introduction

Sci-Hub EVA is a cross-platform Sci-Hub GUI application powered by Python and Qt.

Usage

Click Open button to choose where to save the downloaded files. Click Show button will open the directory where you set.

Fill the Query and click Rampage button, then it will search and download the file. Currently, you can fill the query with URL, PMID, DOI or title.

Range pattern in query is supported, e.g. 00.000/{1-99} will download 00.000/1, 00.000/2, ... 00.000/99. Zero padded format range pattern is allowed, e.g. 00.000/{01-99} will download 00.000/01, 00.000/02, ... 00.000/99.

Also you can download with a query list file, in which each line represents a query. Click Load button to load the query list file.

Right clicking the log area will popup menu, you can open the log file or log directory.

Click will show the About dialog.

Click will open the Preferences dialog.

You can change language manually. Light and dark theme are supported, also you can choose System to fit system theme automatically. Changes will take effect after restart.

You can change filename prefix format with supported keywords. Setting overwrite existing file to No will add a timestamp suffix in filename to avoid overwriting previous downloaded files.

Due to the unstable Sci-Hub host accessibility, it may fail to download PDFs sometimes, you can change and add other Sci-Hub URLs, or set a proxy server.

Sometimes, you may need enter the captcha to continue.

Internationalization Support

• English
• Simplified Chinese (简体中文)
• Traditional Chinese - Hongkong (繁體中文 - 香港)
• Traditional Chinese - Taiwan (正體中文 - 臺灣)
• Portuguese - Portugal

Platform Support

macOS

Light Theme	Dark Theme

Windows

Light Theme	Dark Theme

Linux

Light Theme	Dark Theme

Installing

macOS

• Install with dmg file.
• Install with brew: brew install --cask scihubeva.

Windows

• Install with setup file.
• Install with scoop: scoop bucket add scoopet https://github.com/ivaquero/scoopet && scoop install scihubeva.

Linux

• Run the AppImage file. Using AppImageLauncher is recommended.

Note
Tested only on Ubuntu 20.04 and Ubuntu 22.04.

Building

See building/README.md

Licenses

The MIT License (MIT)

Acknowledgement

Supported by JetBrains Free License Programs for Open Source Development.