No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
xarray has 19.9M monthly downloads and 4K GitHub stars. Version 2026.4.0 supports Python 3.11+, first published in 2016.
It is actively maintained under a permissive license, last released in Apr 2026.
It is built on top of numpy, packaging and pandas. It is used by 2,689 tracked packages, including xarray-einstats, pandas-flavor and rioxarray.
GitHub topics include netcdf, numpy and pandas.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
80
Adoption
80
Community
100
Provenance
100
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
19,852,056
•
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
19,852,056
Stars
4,168
Stars per 1k downloads
0.21
•
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
667,072
Month daily avg
661,735
Momentum
+0.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.11
Cutting Edge
Minimum supported version is 3.12 or newer
•
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Apache-2.0
•
Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
84 days ago
Total releases
105
Releases/year
10.0
Rapid
Last release within 365 days and > 12 releases/year
•
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
579
Monthly downloads
19,852,056
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
•
Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
100
Issue Burden
268.5
per 1k stars
Discussions
192.4
per 1k stars
Fork Ratio
45.2%
contrib / forks
Stale Release
80d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
428.5K
Windows
6.1K
macOS
5.9K
Python Versions
3.11
32.5%
138.0K
3.12
25.2%
107.1K
3.13
20.4%
86.5K
3.10
16.7%
71.2K
3.9
5.3%
22.4K
Top Countries
1.
US
276.0K
US
2.
GB
82.9K
GB
3.
IE
26.8K
IE
4.
NL
15.8K
NL
5.
SG
10.1K
SG
6.
DE
6.2K
DE
7.
CN
4.4K
CN
8.
BE
3.5K
BE
9.
CA
2.2K
CA
10.
AU
2.1K
AU
Dependencies
3
39 optional dependencies
- bottleneck[accel]
- cartopy[viz]
- cftime[io]
- dask[parallel]
- flox[accel]
- fsspec[io]
- h5netcdf[io]
- matplotlib[viz]
- nc-time-axis[viz]
- netcdf4[io]
- numba[accel]
- numbagg[accel]
- opt-einsum[accel]
- pandas-stubs[types]
- pooch[io]
- pydap[io]
- scipy[accel]
- scipy[io]
- scipy-stubs[types]
- seaborn[viz]
- sparse[etc]
- types-colorama[types]
- types-decorator[types]
- types-defusedxml[types]
- types-docutils[types]
- types-networkx[types]
- types-openpyxl[types]
- types-pexpect[types]
- types-psutil[types]
- types-pycurl[types]
- types-pygments[types]
- types-python-dateutil[types]
- types-pytz[types]
- types-pyyaml[types]
- types-requests[types]
- types-setuptools[types]
- types-xlrd[types]
- xarray[complete]
- zarr[io]
Used By
2689
- xarray-einstats
- pandas-flavor
- rioxarray
- arviz-base
- datashader
- cf-xarray
- darts
- metpy
- arm-pyart
- xarray-spatial
- nutpie
- copernicusmarine
- recursive-diff
- pymc-marketing
- geemap
- tidy3d
- pybamm
- xradar
- spatialdata
- odc-geo
- regionmask
- google-meridian
- linopy
- herbie-data
- sax
- ai-wq-package
- rdata
- pint-xarray
- pypsa
- xproj
- xarray-datatree
- odc-stac
- geocube
- geocif
- dtale
- qcodes
- scvi-tools
- multiscale-spatial-image
- earthkit-data
- xee
- spatial-image
- gplugins
- odc-loader
- rasterix
- xarray-dataclass
- pyshtools
- ert
- covjsonkit
- openeo
- xarray-tensorstore
Package Information
License
Apache-2.0
First Release
January 22, 2016
Last Release
2 months ago
Last Commit
3 days ago
Latest Version
2026.4.0
Total Releases
105
Contributors
579
Open PRs
281
Archived
No
Python Versions
3
3.11
3.12
3.13
Wheels
py2
py3
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh