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Systematic Reviews Python Packages

Python packages with the GitHub topic systematic-reviews. Sorted by monthly downloads, with stars and forks.
asreview
asreview

Active learning for systematic reviews

10K 1K 181
asreview
asreview-makita

Workflow generator for simulation studies using the command line interface of ASReview LAB

652 44 19
asreview
asreview-datatools

Tool to preprocess datasets for ASReview

572 40 17
asreview
asreview-wordcloud

ASReview extension to generate wordcloud from data files.

454 17 2
asreview
asreview-covid19

Extension that adds Covid-19 related datasets to ASReview

375 30 7
asreview
asreview-statistics

Tool to preprocess datasets for ASReview

331 40 17
nlesc
litstudy

LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook

241 227 67
djarenas
interrater

Inter-rater quantifies the reliability between multiple raters who evaluate a group of subjects. It calculates the group quantity, Fleiss kappa, and it improves on existing software by keeping information about each user and quantifying how each user agreed with the rest of the group. This is accomplished through permutations of user pairs. The software was written in Python, can be run in Linux, and the code is deposited in Zenodo and GitHub. This software can be used for evaluation of inter-rater reliability in systematic reviews, medical diagnosis algorithms, education applications, and others.

129 6 2
DQ-Zhang
refchaser

Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.

97 26 2
CoLRev-Environment
prisma-flow-diagram

A Python Package for PRISMA Flow Diagrams

82 4 0
ijmarshall
robotreviewer

Automatic synthesis of RCTs

69 179 103
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology