PyRank

azureml-datadrift

Contains functionality for data drift detection for various datasets used in machine learning.
PyPI
More links
Download Stats
Monthly downloads
1.6K
Weekly downloads
436
GitHub stars
-

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.62.0
Requires Python
<4,>=3.7
Licence
https://aka.ms/azureml-sdk-license
Last Release
7 months ago
Author
Microsoft Corp
First Release
September 30, 2019
Total Releases
79
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score based on PyPI data only - no linked source repository
N/A
Health Score
Not available
requires GitHub data
How the maintenance status was determined
Last release
233 days ago
Monthly downloads
1,557
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
1,557
Stars
Unknown
Stars per 1k downloads
—
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
No star data — can't compute stars-to-downloads ratio.
How download momentum is calculated
Week daily avg
62
Month daily avg
52
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.
More insights and metrics
Python version support tiers
requires_python
<4,>=3.7
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
https://aka.ms/azureml-sdk-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
233 days ago
Total releases
79
Releases/year
11.2
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
Unknown
Monthly downloads
1,557
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
Contributor count is missing — this usually indicates the package has no linked GitHub repository.
Engagement
0
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
contrib / forks
Stale Release
No
 
PR Velocity
-
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 6

Python Versions

3.7
83.3% 5
3.9
16.7% 1

Top Countries

1. US US
4
2. DE DE
3
3. CN CN
2

Weekly Downloads

GitHub Stars

Dependencies

13
7 optional dependencies
  • cryptography==1.5[databricks]
    extra == "databricks"
  • ipython==2.2.0[databricks]
    extra == "databricks"
  • numpy<=1.16.2,>=1.11.0[databricks]
    extra == "databricks"
  • pandas<=0.23.4,>=0.21.0[databricks]
    extra == "databricks"
  • pyopenssl==16.0.0[databricks]
    extra == "databricks"
  • scipy<=1.1.0,>=1.0.0[databricks]
    extra == "databricks"
  • tornado==5.1.1[databricks]
    extra == "databricks"

Used By

1

Repository details

Forks
-
Issues
-
Last Commit
-
Contributors
-
Open PRs
-
Archived
-

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology