No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
optree has 11M monthly downloads and 213 GitHub stars. Version 0.19.1 supports Python 3.9+, first published in 2022.
It is actively maintained under a permissive license, last released in May 2026.
It is built on top of typing-extensions. It is used by 68 tracked packages, including keras, nvidia-dali-cuda120 and envpool.
GitHub topics include pytree, tree and tree-structure.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
43
Adoption
60
Community
30
Provenance
0
How the maintenance status was determined
Last commit
7 days ago
Monthly downloads
11,045,009
•
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
11,045,009
Stars
213
Stars per 1k downloads
0.02
•
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
301,480
Month daily avg
368,167
Momentum
-18.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.9
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
62 days ago
Total releases
29
Releases/year
7.5
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
10
Monthly downloads
11,045,009
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
35
Issue Burden
4.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
83.3%
contrib / forks
Stale Release
No
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
181.8K
Windows
14.6K
macOS
5.9K
Python Versions
3.12
44.1%
87.8K
3.11
26.6%
53.0K
3.10
15.4%
30.6K
3.13
10.0%
20.0K
3.9
3.8%
7.5K
Top Countries
1.
US
151.7K
US
2.
NL
10.3K
NL
3.
IN
7.8K
IN
4.
SG
4.9K
SG
5.
CA
4.2K
CA
6.
DE
4.2K
DE
7.
NO
3.7K
NO
8.
GB
2.9K
GB
9.
IE
2.8K
IE
10.
CN
2.3K
CN
Dependencies
1
- typing-extensions >=4.6.0
29 optional dependencies
- attrs[docs]
- attrs[attrs]
- covdefaults[test]
- cpplint[lint]
- doc8[lint]
- docutils[docs]
- jax[jax]
- jax[docs]
- mypy[lint]
- numpy[numpy]
- numpy[docs]
- pre-commit[lint]
- pyenchant[lint]
- pylint[lint]
- pytest[test]
- pytest-cov[test]
- rich[test]
- ruff[lint]
- sphinx[docs]
- sphinx-autoapi[docs]
- sphinx-autobuild[docs]
- sphinx-autodoc-typehints[docs]
- sphinx-copybutton[docs]
- sphinx-rtd-theme[docs]
- sphinxcontrib-bibtex[docs]
- torch[docs]
- torch[torch]
- typing-extensions[test]
- xdoctest[lint]
Used By
68
- keras
- nvidia-dali-cuda120
- envpool
- protenix
- lightning-thunder
- openrlhf
- pytask
- synalinks
- torchopt
- danila-lib
- nvidia-dali-cuda130
- rbyte
- spacecore
- lamareg
- fastipc
- magdi-segmentation-models-3d
- abstract-dataloader
- beignet
- algebraic-arrays
- pytorch-custom-utils
- efficient-classifier
- uniovi-simur-wearablepermed-ml
- id-echo
- ttsim-backend
- lumiere-pytorch
- automatedcleaning
- gtech-ariel
- uniovi-simur-wearablepermed-predictor
- person-detector
- autoform
- ai-computing-broker
- jax-moseq
- torchsilk
- posteriors
- translation-canvas
- dpdc-amr
- micaflow
- bayes-xw
- phytorchx
- robobo-emotion
- ergodicity
- tensor-regression
- pytorch-ml-utils
- utilsbox
- causal-forecast
- cricket-tannmay
- neuroflex
- uniovi-simur-wearablepermed-pipeline-ml
- astra-lib
- quantum-dot-sim
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache-2.0
First Release
August 20, 2022
Last Release
2 months ago
Last Commit
1 week ago
Latest Version
0.19.1
Total Releases
29
Contributors
10
Open PRs
3
Archived
No
Author
OpTree Contributors
Python Versions
3
3.9
3.10
3.11
3.12
3.13
3.14
3.15
Wheels
cp310
cp311
cp312
cp313
cp314
cp37
cp38
cp39
pp310
pp311
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh