About pyOpenSci Packages
pyOpenSci packages are community developed, submitted and reviewed. Anyone is welcome to submit a package to pyOpenSci to be reviewed. Once the package is reviewed, and accepted, pyOpenSci will promote it as a peer-reviewed tool for science!
PyOpenSci Accepted Packages
The package below have already been through our review process and are accepted as pyOpenSci packages.
MAINTAINER: Ariane SassoJost MorgensternFelix MusmannBert Arnrich
Devicely: A Python package for reading, timeshifting and writing sensor data
MAINTAINER: Leah WasserMax Joseph
Explore and plot raster and vector spatial data using open source Python tools.
MAINTAINER: Martin Skarzynski
Construct, deconstruct, convert, execute, and prepare slides from Jupyter notebooks.
MAINTAINER: Niels Bantilan
Validate the types, properties, and statistics of pandas data structures
MAINTAINER: Anita Graser
Trajectory classes and functions built on top of GeoPandas
MAINTAINER: Luna Luisa Sánchez-ReyesMartha KandzioraEmily Jane McTavish
Physcraper: a Python package for continually updated phylogenetic trees using the Open Tree of Life
MAINTAINER: Morgan Williams
Tools for getting the most from your geochemical data
MAINTAINER: Philip Meier
A Framework for Neural Style Transfer
Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)
MAINTAINER: Nhat Tran
A bioinformatics library to integrate multi-omics datasets & interface with public annotation databases.
MAINTAINER: Moritz Lürig
A phenotyping pipeline for Python.
PyOpenSci Packages In Review
Check out our Packages Current Under review in the issues portion of our software-review github repo to see our current community submissions. Anyone is welcome to submit a package to pyopensci.