PyPI Stats
flatland-association

flatland-rl

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.
PyPI GitHub
Downloads
Day
189
Week
978
Month
3.2K
Stars
63
Forks
18
Issues
49
Version
4.2.5

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
38
Adoption
35
Community
55
How the maintenance status was determined
Last commit
5 days ago
Monthly downloads
3,213
• 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
3,213
Stars
63
Stars per 1k downloads
19.61
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
140
Month daily avg
107
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
>=3.10
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 License
• 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
5 days ago
Total releases
64
Releases/year
9.0
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
17
Monthly downloads
3,213
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
75
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
94.4%
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 109

Python Versions

3.12
64.2% 70
3.13
27.5% 30
3.10
7.3% 8
3.7
0.9% 1

Top Countries

1. US US
124
2. AU AU
6
3. FR FR
5
4. CN CN
3
5. SG SG
3
6. HK HK
2
7. JP JP
2
8. RU RU
2
9. SE SE
2
10. CA CA
1

Package Information

License
MIT License
First Release
April 3, 2019
Last Release
5 days ago
Last Commit
5 days ago
Latest Version
4.2.5
Total Releases
64
Contributors
17
Open PRs
9
Archived
No
Python Versions
3.10 3.11 3.12 3.13
Wheels
py2 py3
Keywords
flatland
Topics
decision-making machine-learning multi-agent-reinforcement-learning operations-research reinforcement-learning optimisation resilient-resource-allocation-under-uncertainty
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links