Package Insights
Package Risks
- High bus factor: only 2 contributor(s) for this download volume
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
27
Adoption
95
Community
20
How the maintenance status was determined
Last commit
11 days ago
Monthly downloads
351,107
•
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
351,107
Stars
27
Stars per 1k downloads
0.08
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
15,531
Month daily avg
11,704
Momentum
+32.7%
((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
BSD-2-Clause
•
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
11 days ago
Total releases
93
Releases/year
22.7
•
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
2
Monthly downloads
351,107
•
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
29
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
50.0%
contrib / forks
Stale Release
No
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
6.6K
macOS
410
Windows
66
Python Versions
3.12
39.3%
2.7K
3.10
27.8%
1.9K
3.11
24.4%
1.7K
3.13
6.9%
481
3.14
1.6%
113
Top Countries
1.
US
5.9K
US
2.
DE
249
DE
3.
CN
206
CN
4.
SE
118
SE
5.
JP
112
JP
6.
GB
100
GB
7.
SG
97
SG
8.
HK
73
HK
9.
IN
70
IN
10.
CA
62
CA
Dependencies
1
- tomli >=2.1.0
5 optional dependencies
- argcomplete[cli]
- cmake[build]
- git-archive-all[build]
- packaging[build]
- wheel[build]
Used By
85
- pin
- eigenpy
- cmeel-boost
- cmeel-urdfdom
- cmeel-assimp
- cmeel-octomap
- cmeel-zlib
- cmeel-qhull
- cmeel-console-bridge
- coal
- libpinocchio
- cmeel-tinyxml2
- libcoal
- placo
- hpp-fcl
- cmeel-tinyxml
- proxsuite
- coal-library
- eiquadprog
- rhoban-cmeel-jsoncpp
- cmeel-eigen
- cmeel-example
- jrl-cmakemodules
- crocoddyl
- example-robot-data
- cmeel-urdfdom-headers
- tsid
- ndcurves
- cmeel-omniorb
- rocketsim
- libcrocoddyl
- example-robot-data-loaders
- cmeel-simde
- cmeel-cereal
- cmeel-cppad
- libtsid
- poc-reachy-mini-kinematics
- mim-solvers
- libndcurves
- cmeel-lapack
- libproxsuite
- reachy-mini-cpp-kinematics
- cmeel-mim-solvers
- cmeel-gettext
- cmeel-casadi-kin-dyn
- cmeel-mpfr
- cmeel-autoconf
- cmeel-omniorbpy
- cmeel-metis
- cmeel-qpoases
Package Information
License
BSD-2-Clause
First Release
April 18, 2022
Last Release
1 week ago
Last Commit
1 week ago
Latest Version
0.60.1
Total Releases
93
Contributors
2
Open PRs
1
Archived
No
Python Versions
3
Wheels
py3
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh