Sneak peek: I implemented a 3 layer MLP that predicts the fashion MNIST dataset using SQL (with my own autograd impl inside the database). Apparently einsum notation is better expressed as a JOIN.
github.com/xqlsystems/x...
github.com/xqlsystems/x...
July 6, 2026 at 10:11 PM
Sneak peek: I implemented a 3 layer MLP that predicts the fashion MNIST dataset using SQL (with my own autograd impl inside the database). Apparently einsum notation is better expressed as a JOIN.
github.com/xqlsystems/x...
github.com/xqlsystems/x...
Not yet merged, but I added autograd to my array database experiment. I’m building a new NN framework primarily in SQL.
github.com/xqlsystems/x...
github.com/xqlsystems/x...
July 1, 2026 at 1:19 PM
Not yet merged, but I added autograd to my array database experiment. I’m building a new NN framework primarily in SQL.
github.com/xqlsystems/x...
github.com/xqlsystems/x...
Perhaps understandably lost in the *gestures at everything*, xarray v2025.01.2 released last week allows non-nanosecond datetime and timedelta resolution, expanding the usability of xarray for paleoclimate applications docs.xarray.dev/en/stable/wh...
February 6, 2025 at 11:04 PM
Perhaps understandably lost in the *gestures at everything*, xarray v2025.01.2 released last week allows non-nanosecond datetime and timedelta resolution, expanding the usability of xarray for paleoclimate applications docs.xarray.dev/en/stable/wh...
Oh, nice! Xarray now can handle seasonal groupings in a much more flexible way: xray--9524.org.readthedocs.build/en/9524/user...
Time series data
A major use case for xarray is multi-dimensional time-series data. Accordingly, we’ve copied many of features that make working with time-series data in pandas such a joy to xarray. In most cases, ...
xray--9524.org.readthedocs.build
June 10, 2025 at 5:18 PM
Oh, nice! Xarray now can handle seasonal groupings in a much more flexible way: xray--9524.org.readthedocs.build/en/9524/user...
Released xproj: a small, generic (and experimental) #xarray extension to manage the coordinate reference system(s) of geospatial data cubes.
github.com/benbovy/xproj
1/2
github.com/benbovy/xproj
1/2
GitHub - benbovy/xproj: Xarray extension for managing geospatial coordinate reference systems
Xarray extension for managing geospatial coordinate reference systems - benbovy/xproj
github.com
January 9, 2025 at 7:52 PM
Released xproj: a small, generic (and experimental) #xarray extension to manage the coordinate reference system(s) of geospatial data cubes.
github.com/benbovy/xproj
1/2
github.com/benbovy/xproj
1/2
a new #GDAL backend for xarray, coupled directly for Multidim *and* Classic raster (and actually works, pretty good improv this week)
github.com/mdsumner/gdx
Please try it out with your most|least favourite Zarr! If you have connection issues just ask I know enough to be dangerous #python
github.com/mdsumner/gdx
Please try it out with your most|least favourite Zarr! If you have connection issues just ask I know enough to be dangerous #python
GitHub - mdsumner/gdx: GDAL backend for xarray, enabling Classic or Multidim
GDAL backend for xarray, enabling Classic or Multidim - GitHub - mdsumner/gdx: GDAL backend for xarray, enabling Classic or Multidim
github.com
January 23, 2026 at 12:31 PM
a new #GDAL backend for xarray, coupled directly for Multidim *and* Classic raster (and actually works, pretty good improv this week)
github.com/mdsumner/gdx
Please try it out with your most|least favourite Zarr! If you have connection issues just ask I know enough to be dangerous #python
github.com/mdsumner/gdx
Please try it out with your most|least favourite Zarr! If you have connection issues just ask I know enough to be dangerous #python
I used Claude Code to generate Jupyter notebooks to learn more about xarray, rioxarray, zarr, geozarr and STAC and generate NDVI images from Sentinel 2 data #geospatial github.com/jmlane8/xarr...
April 12, 2026 at 9:09 PM
I used Claude Code to generate Jupyter notebooks to learn more about xarray, rioxarray, zarr, geozarr and STAC and generate NDVI images from Sentinel 2 data #geospatial github.com/jmlane8/xarr...
Clearly xarray.DataArray. Optionally with pint-xarray, as others suggest: xarray.dev/blog/introdu...
Unit-aware arithmetic in Xarray, via pint
Xarray now supports unit-aware operations by wrapping pint arrays
xarray.dev
October 1, 2025 at 7:58 PM
Clearly xarray.DataArray. Optionally with pint-xarray, as others suggest: xarray.dev/blog/introdu...
Do you use napari and love @xarray.bsky.social? Or use Xarray but cry when napari ignores the axis names? Read how we will improve this in the future! 🤝
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
Xarray ❤️ napari — napari blog documentation
napari.org
October 24, 2025 at 3:34 PM
Do you use napari and love @xarray.bsky.social? Or use Xarray but cry when napari ignores the axis names? Read how we will improve this in the future! 🤝
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
napari.org/island-dispa...
Co-authored by @ianhi.bsky.social and @timmonko.bsky.social, powered by the @scipyconf.bsky.social sprints!
Rewrote my Python bioformats wrapper (from aicsimageio/bioio) as a standalone package:
- fully bootstrapped Java setup (just pip install)
- lazy, repeatably-indexable Array object
- fully spec-compliant OME-Zarr group obj.
- xarray/dask exports
github.com/imaging-form...
v0.0.rc1 on PyPI
- fully bootstrapped Java setup (just pip install)
- lazy, repeatably-indexable Array object
- fully spec-compliant OME-Zarr group obj.
- xarray/dask exports
github.com/imaging-form...
v0.0.rc1 on PyPI
GitHub - imaging-formats/bffile: Modern Bio-Formats wrapper with clean lazy Python API
Modern Bio-Formats wrapper with clean lazy Python API - imaging-formats/bffile
github.com
February 16, 2026 at 9:06 PM
Rewrote my Python bioformats wrapper (from aicsimageio/bioio) as a standalone package:
- fully bootstrapped Java setup (just pip install)
- lazy, repeatably-indexable Array object
- fully spec-compliant OME-Zarr group obj.
- xarray/dask exports
github.com/imaging-form...
v0.0.rc1 on PyPI
- fully bootstrapped Java setup (just pip install)
- lazy, repeatably-indexable Array object
- fully spec-compliant OME-Zarr group obj.
- xarray/dask exports
github.com/imaging-form...
v0.0.rc1 on PyPI
Our friends over at @zarr.dev made a big release today.
Xarray v2025.01.1 was also released today with support for Zarr-Python 3 🚀
Xarray v2025.01.1 was also released today with support for Zarr-Python 3 🚀
🎉 Zarr-Python 3 is here! 🎉
- Full support for Zarr v3 spec
- Chunk-sharding for more efficient data storage
- Major performance boosts with async I/O & parallel compression
💻 pip install --upgrade zarr
💻 conda install --channel conda-forge zarr
Blog post: https://buff.ly/3C3OwYw
- Full support for Zarr v3 spec
- Chunk-sharding for more efficient data storage
- Major performance boosts with async I/O & parallel compression
💻 pip install --upgrade zarr
💻 conda install --channel conda-forge zarr
Blog post: https://buff.ly/3C3OwYw
January 9, 2025 at 5:19 PM
Our friends over at @zarr.dev made a big release today.
Xarray v2025.01.1 was also released today with support for Zarr-Python 3 🚀
Xarray v2025.01.1 was also released today with support for Zarr-Python 3 🚀
Google Earth Engine has amazing datasets and functionality, but I've always wished it worked well with my favorite Python tools.
XEE (Xarray + Earth Engine) by my friend @alexmerose.com fills that gap!
github.com/google/Xee
XEE (Xarray + Earth Engine) by my friend @alexmerose.com fills that gap!
github.com/google/Xee
GitHub - google/Xee: An Xarray extension for Google Earth Engine
An Xarray extension for Google Earth Engine. Contribute to google/Xee development by creating an account on GitHub.
github.com
October 11, 2023 at 6:58 AM
Google Earth Engine has amazing datasets and functionality, but I've always wished it worked well with my favorite Python tools.
XEE (Xarray + Earth Engine) by my friend @alexmerose.com fills that gap!
github.com/google/Xee
XEE (Xarray + Earth Engine) by my friend @alexmerose.com fills that gap!
github.com/google/Xee
Finally pushed a full 1.0.0 (not release candidate) to PyPI and conda-forge.
This also means that:
mamba install sharplib
conda install sharplib
Work now (assuming you have conda-forge set as your primary channel).
There is also now a Dask/Xarray/kerchunk example notebook for HRRR data!
This also means that:
mamba install sharplib
conda install sharplib
Work now (assuming you have conda-forge set as your primary channel).
There is also now a Dask/Xarray/kerchunk example notebook for HRRR data!
August 13, 2025 at 7:31 PM
Finally pushed a full 1.0.0 (not release candidate) to PyPI and conda-forge.
This also means that:
mamba install sharplib
conda install sharplib
Work now (assuming you have conda-forge set as your primary channel).
There is also now a Dask/Xarray/kerchunk example notebook for HRRR data!
This also means that:
mamba install sharplib
conda install sharplib
Work now (assuming you have conda-forge set as your primary channel).
There is also now a Dask/Xarray/kerchunk example notebook for HRRR data!
Hi! I'm a programmer working on reducing CO₂ emissions from the electricity system. I'm co-founder @openclimatefix.org. Before OCF I worked at @deep-mind.bsky.social
My current obsession is trying to make it painless to work with petabytes of numerical weather predictions github.com/JackKelly/hy...
My current obsession is trying to make it painless to work with petabytes of numerical weather predictions github.com/JackKelly/hy...
GitHub - JackKelly/hypergrib: Lazily open petabyte-scale GRIB datasets consisting of trillions of GRIB messages from xarray
Lazily open petabyte-scale GRIB datasets consisting of trillions of GRIB messages from xarray - JackKelly/hypergrib
github.com
November 26, 2024 at 7:41 PM
Hi! I'm a programmer working on reducing CO₂ emissions from the electricity system. I'm co-founder @openclimatefix.org. Before OCF I worked at @deep-mind.bsky.social
My current obsession is trying to make it painless to work with petabytes of numerical weather predictions github.com/JackKelly/hy...
My current obsession is trying to make it painless to work with petabytes of numerical weather predictions github.com/JackKelly/hy...
I'm biased when I say this but from working with both pygrib and xarray using the cfgrib engine I definitely like xarray more when trying to tame those pesky NWS NDFD Grids.
March 9, 2025 at 9:35 PM
I'm biased when I say this but from working with both pygrib and xarray using the cfgrib engine I definitely like xarray more when trying to tame those pesky NWS NDFD Grids.
📣 Our team is heading to the
@cloudnativegeo.org
Conference in Snowbird, Utah. We’ll be sharing our latest open-source work on Xarray, Zarr, VirtualiZarr, Icechunk, and leading a hands-on workshop, 𝑍𝑎𝑟𝑟, 𝐼𝑐𝑒𝑐ℎ𝑢𝑛𝑘, & 𝑋𝑎𝑟𝑟𝑎𝑦 𝑓𝑜𝑟 𝐶𝑙𝑜𝑢𝑑-𝑛𝑎𝑡𝑖𝑣𝑒 𝐺𝑒𝑜𝑠𝑝𝑎𝑡𝑖𝑎𝑙 𝐷𝑎𝑡𝑎-𝑐𝑢𝑏𝑒 𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠.
Read more: bit.ly/4lRWNAJ
@cloudnativegeo.org
Conference in Snowbird, Utah. We’ll be sharing our latest open-source work on Xarray, Zarr, VirtualiZarr, Icechunk, and leading a hands-on workshop, 𝑍𝑎𝑟𝑟, 𝐼𝑐𝑒𝑐ℎ𝑢𝑛𝑘, & 𝑋𝑎𝑟𝑟𝑎𝑦 𝑓𝑜𝑟 𝐶𝑙𝑜𝑢𝑑-𝑛𝑎𝑡𝑖𝑣𝑒 𝐺𝑒𝑜𝑠𝑝𝑎𝑡𝑖𝑎𝑙 𝐷𝑎𝑡𝑎-𝑐𝑢𝑏𝑒 𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠.
Read more: bit.ly/4lRWNAJ
April 28, 2025 at 7:33 PM
📣 Our team is heading to the
@cloudnativegeo.org
Conference in Snowbird, Utah. We’ll be sharing our latest open-source work on Xarray, Zarr, VirtualiZarr, Icechunk, and leading a hands-on workshop, 𝑍𝑎𝑟𝑟, 𝐼𝑐𝑒𝑐ℎ𝑢𝑛𝑘, & 𝑋𝑎𝑟𝑟𝑎𝑦 𝑓𝑜𝑟 𝐶𝑙𝑜𝑢𝑑-𝑛𝑎𝑡𝑖𝑣𝑒 𝐺𝑒𝑜𝑠𝑝𝑎𝑡𝑖𝑎𝑙 𝐷𝑎𝑡𝑎-𝑐𝑢𝑏𝑒 𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠.
Read more: bit.ly/4lRWNAJ
@cloudnativegeo.org
Conference in Snowbird, Utah. We’ll be sharing our latest open-source work on Xarray, Zarr, VirtualiZarr, Icechunk, and leading a hands-on workshop, 𝑍𝑎𝑟𝑟, 𝐼𝑐𝑒𝑐ℎ𝑢𝑛𝑘, & 𝑋𝑎𝑟𝑟𝑎𝑦 𝑓𝑜𝑟 𝐶𝑙𝑜𝑢𝑑-𝑛𝑎𝑡𝑖𝑣𝑒 𝐺𝑒𝑜𝑠𝑝𝑎𝑡𝑖𝑎𝑙 𝐷𝑎𝑡𝑎-𝑐𝑢𝑏𝑒 𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠.
Read more: bit.ly/4lRWNAJ
Package and documentation are shared on GitHub in line with FAIR principles; the tools are designed to be modular so researchers can adopt only the components they require 👩💻
github.com/PlasmaFAIR/s...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/s...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/e...
GitHub - PlasmaFAIR/sdf-xarray: An xarray backend for reading SDF files from EPOCH
An xarray backend for reading SDF files from EPOCH - PlasmaFAIR/sdf-xarray
github.com
May 15, 2025 at 10:00 AM
Package and documentation are shared on GitHub in line with FAIR principles; the tools are designed to be modular so researchers can adopt only the components they require 👩💻
github.com/PlasmaFAIR/s...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/s...
github.com/PlasmaFAIR/e...
github.com/PlasmaFAIR/e...
arviz-stats exposes two APIs:
• Full xarray API (default): intended for end users doing statistical data analysis.
• Array-only API (NumPy/SciPy): intended for PPL developers or advanced users, who want diagnostics without xarray as a dependency.
• Full xarray API (default): intended for end users doing statistical data analysis.
• Array-only API (NumPy/SciPy): intended for PPL developers or advanced users, who want diagnostics without xarray as a dependency.
March 24, 2026 at 12:19 PM
arviz-stats exposes two APIs:
• Full xarray API (default): intended for end users doing statistical data analysis.
• Array-only API (NumPy/SciPy): intended for PPL developers or advanced users, who want diagnostics without xarray as a dependency.
• Full xarray API (default): intended for end users doing statistical data analysis.
• Array-only API (NumPy/SciPy): intended for PPL developers or advanced users, who want diagnostics without xarray as a dependency.
Ever struggled to decode GRIB files with xarray+cfgrib/eccodes that have parameters it doesn't understand? This notebook should help you make the process a bit easier: gist.github.com/dopplershift...
Jupyter notebook demonstrating how to create custom GRIB definitions to use with eccodes
Jupyter notebook demonstrating how to create custom GRIB definitions to use with eccodes - Custom ECCODES GRIB definitions.ipynb
gist.github.com
December 30, 2024 at 10:21 PM
Ever struggled to decode GRIB files with xarray+cfgrib/eccodes that have parameters it doesn't understand? This notebook should help you make the process a bit easier: gist.github.com/dopplershift...
Siphon v0.10.0 has been released, with a lot of fixes to work with current versions of things like xarray, numpy, and protobuf, and support for Python 3.10-3.13. It also has bug fixes for things like Hyrax catalogs and Wyoming upper air archive access. Full release notes: github.com/Unidata/siph...
Release 0.10.0 · Unidata/siphon
Highlights
Updates to for compatibility with xarray, numpy, and protobuf
Updated to support Python versions 3.10-3.13
Improvements to parsing data from Wyoming upper air as well as support for req...
github.com
December 13, 2024 at 11:47 PM
Siphon v0.10.0 has been released, with a lot of fixes to work with current versions of things like xarray, numpy, and protobuf, and support for Python 3.10-3.13. It also has bug fixes for things like Hyrax catalogs and Wyoming upper air archive access. Full release notes: github.com/Unidata/siph...
Great to see so many people using ODC STAC to load Items as an Xarray. So cool.
December 5, 2024 at 7:24 PM
Great to see so many people using ODC STAC to load Items as an Xarray. So cool.
📣 One of the best parts of #SciPy2026 is seeing the Scientific Python ecosystem evolve in real time.
Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions 🫶
Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions 🫶
July 16, 2026 at 3:56 PM
📣 One of the best parts of #SciPy2026 is seeing the Scientific Python ecosystem evolve in real time.
Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions 🫶
Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions 🫶