No known security advisories.
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
statsforecast has 1.7M monthly downloads and 5K GitHub stars. Version 2.0.3 supports Python 3.9+, first published in 2021.
It is actively maintained under a permissive license, last released in Oct 2025.
It is built on top of cloudpickle, coreforecast and fugue. It is used by 38 tracked packages, including autogluon-timeseries, lightwood and timecopilot.
GitHub topics include time-series, statistics and forecasting.
Package Insights
Package Risks
- No releases in 245 days despite active commits
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
77
Adoption
70
Community
60
Provenance
100
How the maintenance status was determined
Last commit
4 days ago
Monthly downloads
1,741,595
•
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
1,741,595
Stars
4,821
Stars per 1k downloads
2.77
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
55,764
Month daily avg
58,053
Momentum
-3.9%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.9
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
Apache Software License 2.0
•
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
250 days ago
Total releases
41
Releases/year
8.9
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
68
Monthly downloads
1,741,595
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
79
Issue Burden
24.7
per 1k stars
Discussions
23.0
per 1k stars
Fork Ratio
18.3%
contrib / forks
Stale Release
245d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
30.7K
Windows
461
macOS
429
Python Versions
3.11
45.3%
14.1K
3.12
36.2%
11.3K
3.10
13.2%
4.1K
3.13
4.1%
1.3K
3.9
1.2%
364
Top Countries
1.
US
18.0K
US
2.
NL
6.9K
NL
3.
IE
3.6K
IE
4.
IN
1.3K
IN
5.
DE
376
DE
6.
SG
307
SG
7.
KR
177
KR
8.
HK
152
HK
9.
SE
139
SE
10.
GB
95
GB
Dependencies
12
- cloudpickle
- coreforecast >=0.0.12
- fugue >=0.8.1
- llvmlite <0.43.0,>=0.41.0
- numba >=0.55.0
- numpy >=1.21.6
- pandas >=1.3.5
- scipy <1.16.0,>=1.7.3
- statsmodels >=0.13.2
- threadpoolctl >=3
- tqdm
- utilsforecast >=0.1.4
54 optional dependencies
- black[all]
- black[dev]
- dask[dask]
- dask[all]
- datasetsforecast[dev]
- datasetsforecast[all]
- fastcore[dev]
- fastcore[all]
- fire[all]
- fire[dev]
- fugue[spark]
- fugue[all]
- fugue[dask]
- fugue[ray]
- nbdev-plotly[dev]
- nbdev-plotly[all]
- nbformat[dev]
- nbformat[all]
- numpy[all]
- numpy[ray]
- pandas[dev]
- pandas[all]
- pandas[ray]
- plotly[all]
- plotly[plotly]
- plotly-resampler[plotly]
- plotly-resampler[all]
- polars[dev]
- polars[all]
- polars[polars]
- pre-commit[dev]
- pre-commit[all]
- prophet[dev]
- prophet[all]
- protobuf[all]
- protobuf[ray]
- pyarrow[dev]
- pyarrow[all]
- pybind11[all]
- pybind11[dev]
- pytest[dev]
- pytest[all]
- pytest-cov[dev]
- pytest-cov[all]
- ray[ray]
- ray[all]
- scikit-learn[dev]
- scikit-learn[all]
- setuptools[dev]
- setuptools[all]
- supersmoother[dev]
- supersmoother[all]
- yfinance[all]
- yfinance[dev]
Used By
38
- autogluon-timeseries
- lightwood
- timecopilot
- studentprognose
- peshbeen
- fcst
- imputegap
- deepretail
- p8-platoon
- yohou-nixtla
- mango-dashboard
- raven-framework
- fedot-ind
- metaforecast
- nixtla-scaffold
- stock-prediction-sta410
- glucosedao-glucobench
- tsagentkit
- forecaster-toolkit
- forecast-combine
- forecastout
- timegpt-copilot
- cardtale
- timegpt-mcp
- ts-agents
- forecast-ar
- netseer
- pyoats
- tsdetective
- energicast
- nixtla-mcp
- tsmp
- gdp-time-series
- tseapy
- nixtla-copilot
- pulsepoint
- dms-data-mining
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
Apache Software License 2.0
First Release
November 24, 2021
Last Release
8 months ago
Last Commit
5 days ago
Latest Version
2.0.3
Total Releases
41
Contributors
68
Open PRs
21
Archived
No
Python Versions
3.9
3.10
3.11
3.12
3.13
Wheels
cp310
cp311
cp312
cp313
cp38
cp39
py3
Keywords
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh