Pangeo: A community for open, reproducible, scalable geoscience

Pangeo is first and foremost a community promoting open, reproducible, and scalable science. This community provides documentation, develops and maintains software, and deploys computing infrastructure to make scientific research and programming easier.
Pangeo provides the community with space and resources for addressing barriers to advancing open, reproducible, and scalable geoscience.
The forum provides an online space for discussions about science, software, data, education, and more.
Educational resources
Project Pythia is the education and training hub for Pangeo.
Pangeo organizes working groups focused on education, distributed array computing, machine learning, and more.
Pangeo hosts regular online community meetings for discussions about progress and issues.
Showcase talks during the fall and spring highlight new advances in open software, data, and science.
Pangeo hosts community events in association with major conferences.
Pangeo drives the development and evolution of software tools that facilitate geoscience research.
Pangeo develops infrastructure and cloud computing approaches for scientific research.
The Pangeo community is actively engaged in developing geoscientific software and platforms. Many of these tools are useful far beyond the geoscientific domain.
Pangeo contributes to developing essential software for open, reproducible, scalable geoscience. Many of these libraries are also broadly applicable across many domains.
N-D labeled arrays and datasets in Python.
Distributed arrays and advanced parallelism for analytics, enabling performance at scale.
An implementation of chunked, compressed, N-dimensional arrays for Python.
Free software, open standards, and web services for interactive computing.
A high-level plotting API for the PyData ecosystem built on HoloViews.
Cloud-friendly access to archival data.
A general python package for describing, loading and processing data.
Batch Generation from Xarray Datasets.
Create virtual Zarr stores from archival data files using xarray syntax.
Publish Xarray Datasets via a REST API.
Bounded-memory serverless distributed N-dimensional array processing.
Distributed Xarray with Apache Beam.
Pangeo supports the development of geoscientific libraries and platforms.
An accessor for Xarray objects that interprets Climate and Forecast (CF) metadata convention attributes.
Verification of weather and climate forecasts.
Collection of tools in Python for reading, visualizing and performing calculations with weather data.
Extension for unstructured climate and global weather data analysis and visualization.
Processing and gridding spatial data, machine-learning style.
Raster-based Spatial Analytics for Python.
An extension of xarray for climate data analysis on structured grids.
Extension to handle Discrete Global Grid Systems.
General Circulation Model Postprocessing with xarray.
Vector data cubes for Xarray.
We thank these institutions for generously supporting the development and maintenance of Pangeo.
Pangeo is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides Pangeo with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.If you like Pangeo and want to support our mission, please consider making a donation to support our efforts.
© 2026, Xarray core developers. Apache 2.0 Licensed.