PyPI Stats
rapidsai

raft-dask-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (rapidsai/raft) with 8 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
34
Week
273
Month
2.4K
Stars
1.0K
Forks
231
Issues
428
Version
26.4.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
65
Adoption
33
Community
90
How the maintenance status was determined
Last commit
15 days ago
Monthly downloads
2,366
• 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
2,366
Stars
1,003
Stars per 1k downloads
423.92
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
39
Month daily avg
79
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
>=3.11
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
27 days ago
Total releases
5
Releases/year
4.7
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
127
Monthly downloads
2,366
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
78
 
Issue Burden
426.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
55.0%
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

Linux 14

Python Versions

3.12
57.1% 8
3.14
28.6% 4
3.13
14.3% 2

Top Countries

1. US US
40
2. CA CA
1
3. PK PK
1

Dependencies

6
2 optional dependencies

Used By

1

Package Information

License
Unknown
First Release
April 9, 2025
Last Release
3 weeks ago
Last Commit
2 weeks ago
Latest Version
26.4.0
Total Releases
5
Contributors
127
Open PRs
16
Archived
No
Author
NVIDIA Corporation
Python Versions
3.11 3.12 3.13 3.14
Wheels
cp310 cp311 cp312 cp313 py2 py3
Topics
anns building-blocks clustering cuda distance gpu information-retrieval linear-algebra llm machine-learning nearest-neighbors primitives random-sampling solvers sparse statistics vector-search vector-similarity vector-store neighborhood-methods
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links