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PyPI version Python versions License: MIT

Data extraction for systematic reviews and meta-analyses. Reads PDF, Word, and image files with pdfplumber and python-docx, keeps the page, section, and table cell of every value, and codes them against an Excel codebook in an interactive Shiny interface. Exports effect sizes for group, single-case, and correlation design studies. Companion to pubmlp, which handles screening.

Installation

pip install pubextractor

From GitHub:

pip install git+https://github.com/mshin77/pubextractor.git

Load the pubextractor Package

import pubextractor

Alternatively, Launch and Browse the Shiny App

Access the web app (demo, short papers) at https://www.pubextractor.org.

Launch and browse the app on the local computer:

from pubextractor import run_app

run_app()

Or in a terminal: pubextractor. The app opens at http://127.0.0.1:8000; use run_app(port=8001) if that port is in use.

Getting Started

See Quick Start and Using the App for tutorials.

Citation

Metadata

Release files for pubextractor 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pubextractor 0.1.1
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Built distribution (wheel)

Table of built distributions (wheels) for pubextractor 0.1.1
File Interpreter ABI Platform Actions
pubextractor-0.1.1-py3-none-any.whl Python 3 none any Details for pubextractor-0.1.1-py3-none-any.whl

Total release size: 475.9 kB

Release files / pubextractor-0.1.1.tar.gz

Download URL pubextractor-0.1.1.tar.gz
Size 275.3 kB
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Release files / pubextractor-0.1.1-py3-none-any.whl

Download URL pubextractor-0.1.1-py3-none-any.whl
Size 200.6 kB
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Uploaded via twine/7.0.0 CPython/3.14.6

Security for pubextractor 0.1.1

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