No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
pmdarima has 3.2M monthly downloads and 2K GitHub stars. Version 2.1.1 supports Python 3.10+, first published in 2018.
It is minimally maintained under a permissive license, last released in Nov 2025.
It is built on top of cython, joblib and numpy. It is used by 60 tracked packages, including pycaret, azureml-automl-runtime and azureml-training-tabular.
GitHub topics include arima, time-series and forecasting.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
50
Popularity
69
Adoption
80
Community
50
Provenance
0
How the maintenance status was determined
Last commit
231 days ago
Monthly downloads
3,166,438
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
3,166,438
Stars
1,724
Stars per 1k downloads
0.54
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
108,492
Month daily avg
105,548
Momentum
+2.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.10
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
•
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
231 days ago
Total releases
29
Releases/year
3.8
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
3,166,438
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
49
Issue Burden
35.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
7.9%
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
67.5K
Windows
615
macOS
163
Python Versions
3.10
34.2%
22.7K
3.12
28.9%
19.2K
3.11
27.4%
18.2K
3.9
8.0%
5.3K
3.8
1.5%
1.0K
Top Countries
1.
US
45.5K
US
2.
IN
7.0K
IN
3.
IE
5.4K
IE
4.
GR
3.0K
GR
5.
NL
2.5K
NL
6.
SG
1.3K
SG
7.
JP
782
JP
8.
DE
463
DE
9.
AE
359
AE
10.
AU
281
AU
Dependencies
10
- cython !=0.29.18,!=0.29.31,>=0.29
- joblib >=0.11
- numpy >=1.21.6
- packaging >=17.1
- pandas >=0.19
- scikit-learn >=0.22
- scipy >=1.13.0
- setuptools !=50.0.0,>=42
- statsmodels >=0.14.5
- urllib3
16 optional dependencies
- matplotlib[all]
- matplotlib[test]
- patsy[all]
- patsy[dev]
- pytest[test]
- pytest[all]
- pytest-benchmark[test]
- pytest-benchmark[all]
- pytest-mpl[all]
- pytest-mpl[test]
- readme-renderer[dev]
- readme-renderer[all]
- twine[all]
- twine[dev]
- wheel[all]
- wheel[dev]
Used By
60
- pycaret
- azureml-automl-runtime
- azureml-training-tabular
- evalml
- thymeboost
- dcicsnovault
- hossam
- scalecast
- auto-ts
- aiforecastts
- mvgarch
- arbitragelab
- vitalsqi-toolkit
- imputegap
- pyfade-esp
- timeseriesfeatures
- anomalywatchdog
- ts-stat-tests
- sktime-mcp
- pytoolsz
- covidify
- foretis
- pycausalarima
- lottokit
- pystocktopus
- forecastga
- athena-eda
- stock-prediction-sta410
- newstrends
- arfparf
- habitat-fydp-package
- fractime
- causal-forecast
- sforecast
- trilabytepyml
- forecaster-toolkit
- aiwm
- forecastout
- evalml-automining
- hybmkg-pycast
- timexseries
- blocktorch
- mlpforecast
- atradebot
- kf-d3m-primitives
- dsbox-primitives
- ostatslib
- streamtick
- eh-evalml
- u8timeseries
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT
First Release
November 18, 2018
Last Release
7 months ago
Last Commit
7 months ago
Latest Version
2.1.1
Total Releases
29
Contributors
20
Open PRs
3
Archived
No
Python Versions
3
3.10
3.11
3.12
3.13
Wheels
cp310
cp311
cp312
cp313
cp314
cp35
cp36
cp37
cp38
cp39
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh