PyPI Stats
microsoft

mlos-bench

MLOS is a project to enable autotuning for systems.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (microsoft/MLOS) with 2 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
15
Week
92
Month
445
Stars
174
Forks
74
Issues
97
Version
0.6.2

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
30
Popularity
50
Adoption
26
Community
80
How the maintenance status was determined
Last commit
194 days ago
Monthly downloads
445
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
445
Stars
174
Stars per 1k downloads
391.01
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
13
Month daily avg
15
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
• 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
485 days ago
Total releases
9
Releases/year
3.9
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
31
Monthly downloads
445
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
71
 
Issue Burden
557.5
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
41.9%
contrib / forks
Stale Release
291d
 
PR Velocity
Active
 

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. US US
2
2. CA CA
1

Dependencies

8
47 optional dependencies

Used By

1

Package Information

License
MIT
First Release
January 8, 2024
Last Release
1 year ago
Last Commit
6 months ago
Latest Version
0.6.2
Total Releases
9
Contributors
31
Open PRs
36
Archived
No
Python Versions
3 3.10 3.11 3.12 3.13
Keywords
autotuning benchmarking optimization systems
Topics
performance-engineering optimize-systems infrastructure data-science autotuning benchmarking benchmarking-framework
Tracking Since
January 21, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links