PyPI Stats
ray-project

ray-for-mars

Ray provides a simple, universal API for building distributed applications.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (ray-project/ray) with 8 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
4
Week
13
Month
117
Stars
42.4K
Forks
7.5K
Issues
2.9K
Version
1.12.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
94
Adoption
20
Community
80
How the maintenance status was determined
Last commit
0 days ago
Monthly downloads
117
• 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
117
Stars
42,438
Stars per 1k downloads
362717.95
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
2
Month daily avg
4
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
Apache 2.0
• 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
1447 days ago
Total releases
2
Releases/year
0.5
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
1,440
Monthly downloads
117
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
72
 
Issue Burden
69.5
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
19.1%
contrib / forks
Stale Release
1446d
 
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

Dependencies

14
81 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
Apache 2.0
First Release
May 19, 2022
Last Release
3 years ago
Last Commit
11 hr ago
Latest Version
1.12.1
Total Releases
2
Contributors
1,440
Open PRs
607
Archived
No
Author
Ray Team
Python Versions
3.6 3.7 3.8 3.9
Keywords
ray distributed parallel machine-learning hyperparameter-tuningreinforcement-learning deep-learning serving python
Topics
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization data-science hyperparameter-optimization serving deployment pytorch tensorflow llm-serving large-language-models llm llm-inference
Tracking Since
February 1, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links