pyOpenSci Open Peer Review & Accepted Packages

Below you will find a list of scientific Python packages that have been accepted into the pyOpenSci ecosystem through the open peer review process.

Our accepted Python open source packages

The packages below have already been through our open peer review process and are accepted as pyOpenSci packages.

jointly

Arne Herdick, Felix Musmann, Ariane Sasso, Justin Albert, Bert Arnrich

Jointly: A Python package for synchronizing multiple sensors with accelerometer data

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devicely

Ariane Sasso, Jost Morgenstern, Felix Musmann, Bert Arnrich

Devicely: A Python package for reading, timeshifting and writing sensor data

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earthpy

Leah Wasser, Max Joseph

Explore and plot raster and vector spatial data using open source Python tools.

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nbless

Martin Skarzynski

Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks.

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pandera

Niels Bantilan

Validate the types, properties, and statistics of pandas data structures

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MovingPandas

Anita Graser

Trajectory classes and functions built on top of GeoPandas

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physcraper

Luna Luisa Sánchez-Reyes, Martha Kandziora, Emily Jane McTavish

Physcraper: a Python package for continually updated phylogenetic trees using the Open Tree of Life

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pyrolite

Morgan Williams

Tools for getting the most from your geochemical data

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pystiche

Philip Meier

A Framework for Neural Style Transfer

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pydov

DOV-Vlaanderen

Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)

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openomics

Nhat Tran

A bioinformatics library to integrate multi-omics datasets & interface with public annotation databases.

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phenopype

Moritz Lürig

A phenotyping pipeline for Python.

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pygmt

Dongdong Tian, Max Jones, Michael Grund, Wei Ji Leong, Will Schlitzer

A Python interface for the Generic Mapping Tools.

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