PyPI Stats
Kim-Hammar

gym-csle-apt-game

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (Kim-Hammar/csle) with 16 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
199
Week
232
Month
3.3K
Stars
144
Forks
27
Issues
10
Version
0.9.46

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
44
Adoption
35
Community
20
How the maintenance status was determined
Last commit
42 days ago
Monthly downloads
3,299
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
3,299
Stars
144
Stars per 1k downloads
43.65
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
33
Month daily avg
110
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.8
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
Not specified
• 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
Package does not declare a license.
How the release cadence was determined
Last release
61 days ago
Total releases
81
Releases/year
33.4
• 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
9
Monthly downloads
3,299
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
47
 
Issue Burden
69.4
per 1k stars
Discussions
76.4
per 1k stars
Fork Ratio
33.3%
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

No OS data available

Python Versions

No Python version data available

Top Countries

1. CA CA
1
2. US US
1

Dependencies

6
22 optional dependencies

Used By

3

Package Information

License
Unknown
First Release
December 2, 2023
Last Release
2 months ago
Last Commit
1 month ago
Latest Version
0.9.46
Total Releases
81
Contributors
9
Open PRs
0
Archived
No
Author
Kim Hammar
Python Versions
3 3.8 3.9 3.10 3.11
Wheels
py3
Keywords
Reinforcement-Learning Cyber-Security Markov-Games Markov-Decision-Processes
Topics
reinforcement-learning cybersecurity markov-games markov-decision-processes deep-learning game-theory self-learning
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links