PyPI Stats
MLBazaar

mlprimitives

Primitives for machine learning and data science.
PyPI GitHub
Downloads
Day
368
Week
2.4K
Month
7.5K
Stars
71
Forks
37
Issues
29
Version
0.4.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
41
Adoption
78
Community
60
How the maintenance status was determined
Last commit
531 days ago
Monthly downloads
7,489
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
7,489
Stars
71
Stars per 1k downloads
9.48
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
339
Month daily avg
250
Momentum
+35.7%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<3.12,>=3.8
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
537 days ago
Total releases
41
Releases/year
5.3
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
14
Monthly downloads
7,489
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
55
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
37.8%
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 487

Python Versions

3.9
43.7% 212
3.8
23.3% 113
3.10
18.8% 91
3.7
12.8% 62
3.11
1.4% 7

Top Countries

1. US US
472
2. CN CN
13
3. JP JP
2
4. CA CA
1

Dependencies

19
31 optional dependencies

Used By

3

Package Information

License
MIT license
First Release
August 17, 2018
Last Release
1 year ago
Last Commit
1 year ago
Latest Version
0.4.1
Total Releases
41
Contributors
14
Open PRs
2
Archived
No
Author
MIT Data To AI Lab
Python Versions
3 3.8 3.9 3.10 3.11
Wheels
py2 py3
Keywords
mlblocks mlprimitives pipelines primitives machine learning data science
Topics
machine-learning automl hyperparameter-tuning pipelines machine-learning-pipelines primitives
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links