PyPI Stats
SMPyBandits

smpybandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
PyPI GitHub
Downloads
Day
8
Week
82
Month
351
Stars
422
Forks
61
Issues
28
Version
0.9.7

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
20
Popularity
54
Adoption
25
Community
20
How the maintenance status was determined
Last commit
736 days ago
Monthly downloads
351
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
Stars
422
Stars per 1k downloads
1202.28
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
12
Month daily avg
12
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
Not specified
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
Package does not declare a minimum Python version.
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
2385 days ago
Total releases
6
Releases/year
0.7
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
7
Monthly downloads
351
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
30
 
Issue Burden
66.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
11.5%
contrib / forks
Stale Release
1648d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 2

Python Versions

3.7
100.0% 2

Top Countries

1. CN CN
6
2. US US
2
3. CA CA
1

Dependencies

7
8 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
March 7, 2018
Last Release
6 years ago
Last Commit
2 years ago
Latest Version
0.9.7
Total Releases
6
Contributors
7
Open PRs
0
Archived
No
Author
Lilian Besson
Python Versions
2.7 3.4 3.5 3.6
Wheels
py2 py3
Keywords
multi-arm-bandits simulations learning-theory centralized-algorithms decentralized-algorithms cognitive-radio
Topics
research multi-arm-bandits internet-of-things simulations python open-source learning-theory cognitive-radio bandit-algorithms multi-armed-bandit
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links