Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
4
Adoption
29
Community
0
How the maintenance status was determined
Last commit
31 days ago
Monthly downloads
912
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
912
Stars
1
Stars per 1k downloads
1.10
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
8
Month daily avg
30
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python 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
MIT
•
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
32 days ago
Total releases
11
Releases/year
69.2
•
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
3
Monthly downloads
912
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
10
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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
No OS data available
Python Versions
No Python version data available
Top Countries
1.
KR
3
KR
2.
CA
1
CA
Dependencies
7
- numpy >=1.25
- pandas >=2.0
- polars >=1.0
- pyarrow >=14.0
- scikit-learn >=1.6
- scipy >=1.12
- statsmodels >=0.14.5
21 optional dependencies
- catboost[all]
- catboost[catboost]
- catboost[causal]
- catboost[dml]
- doubleml[dml]
- doubleml[all]
- econml[all]
- econml[causal]
- joblib[pareto]
- joblib[parallel]
- joblib[all]
- lifelines[all]
- lifelines[survival]
- matplotlib[pareto]
- matplotlib[all]
- matplotlib[plot]
- matplotlib[dev]
- pdoc[dev]
- pyarrow[dev]
- pytest[dev]
- pytest-cov[dev]
Used By
1
Package Information
License
MIT
First Release
March 8, 2026
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
0.7.0
Total Releases
11
Contributors
3
Open PRs
0
Archived
No
Python Versions
3
3.11
3.12
Keywords
Cramer-Lundberg
DML
GIPP
PS21/11
actuarial
allocation matrix
causal inference
cession
community insurance
consumer duty
conversion
convex duality
cvar
de finetti
demand elasticity
enbp
fairness
insurance
loss ratio
model quality
model uncertainty
multi-objective
mutual insurance
optimisation
pareto
personal lines
portfolio
pricing
proportional reinsurance
rate change
reinsurance
retention
Topics
Tracking Since
March 15, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh