PyRank
alkaline-ml

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
PyPI GitHub
More links
Download Stats Bug Tracker Download
Monthly downloads
1.6M
Weekly downloads
404.5K
GitHub stars
1.7K

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

Package Information

Latest Version
2.1.1
Requires Python
>=3.10
Licence
MIT
Last Release
11 months ago
First Release
November 18, 2018
Total Releases
29
Python Versions
3 3.10 3.11 3.12 3.13
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 breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
69
Adoption
80
Community
55
Provenance
0
How the maintenance status was determined
Last commit
332 days ago
Monthly downloads
1,648,771
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
1,648,771
Stars
1,737
Stars per 1k downloads
1.05
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
57,789
Month daily avg
54,959
Momentum
+5.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.10
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
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
332 days ago
Total releases
29
Releases/year
3.7
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
20
Monthly downloads
1,648,771
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
53
 
Issue Burden
35.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
7.8%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 40.1K
Windows 229
macOS 78

Python Versions

3.10
36.8% 14.3K
3.12
25.6% 10.0K
3.11
24.3% 9.5K
3.9
11.7% 4.5K
3.13
1.5% 599

Top Countries

1. US US
27.7K
2. IN IN
3.1K
3. GR GR
3.0K
4. IE IE
2.4K
5. NL NL
1.5K
6. DE DE
777
7. GB GB
296
8. JP JP
296
9. SG SG
292
10. AE AE
212

Weekly Downloads

GitHub Stars

Dependencies

10
16 optional dependencies

Used By

64
View all 64 dependents

Repository details

Forks
256
Issues
62
Last Commit
11 months ago
Contributors
20
Open PRs
5
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
arima timeseries forecasting pyramid pmdarima pyramid-arima scikit-learn statsmodels
Sources and methodology