PyMeta
$ pip install PythonMeta
Sample data: Continuous, Binary, Subgroup
Settings: General Output Figure

Data type:
Effect measure:
Algorithm:
Effect models:
Items:



Figure:
Canvas size:
Width = (4-12, inches)
Height = (4-12, inches)
Resolution:
DPI = (60-150, dots per inch)

Welcome!

Pymeta is an online meta-analysis tool created and supported by PythonMeta, a Python package for meta-analysis.

This web-based application is designed to perform various Evidence-based medicine (EBM) tasks, such as:

Our web pages are compatible with handheld devices, such as Android and iPhone, which means you can access this tool via your mobile phone anytime, anywhere, enjoy!

This is an ongoing project, and we welcome any questions or suggestions you may have. Please contact us via email or leave a message in our Guestbook.

Paper citations & media reports:
Safoora 2022, Felix 2022, Stella 2023, c19early.org
researchers site, SR Toolbox (PythonMeta), SR Toolbox (Pymeta), EBHC 26th Newsletter, Cochrane, Towards Data Science, stackoverflow, Amazon, 知乎, CSDN, bilibili

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