PyPI Stats
Nixtla

nixtlats

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (Nixtla/nixtla) with 2 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
96
Week
636
Month
4.1K
Stars
3.9K
Forks
323
Issues
48
Version
0.5.2

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
75
Adoption
36
Community
50
How the maintenance status was determined
Last commit
1 days ago
Monthly downloads
4,060
• 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
4,060
Stars
3,872
Stars per 1k downloads
953.69
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
91
Month daily avg
135
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.
Python version support tiers
requires_python
>=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
670 days ago
Total releases
37
Releases/year
7.4
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
29
Monthly downloads
4,060
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
68
 
Issue Burden
12.4
per 1k stars
Discussions
7.2
per 1k stars
Fork Ratio
9.0%
contrib / forks
Stale Release
668d
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 40
Windows 1

Python Versions

3.11
43.9% 18
3.10
39.0% 16
3.14
7.3% 3
3.12
4.9% 2
3.9
4.9% 2

Top Countries

1. US US
26
2. ES ES
8
3. JP JP
5
4. CN CN
4
5. DE DE
2
6. CA CA
1
7. CO CO
1

Dependencies

6
24 optional dependencies

Used By

1

Package Information

License
MIT License
First Release
April 26, 2021
Last Release
1 year ago
Last Commit
Yesterday
Latest Version
0.5.2
Total Releases
37
Contributors
29
Open PRs
17
Archived
No
Python Versions
3
Wheels
py3
Topics
time-series time-series-forecasting deep-learning forecasting gpt generative-ai-time-series timegpt anomaly-detection artificial-intelligence gpts llm foundation-models llms agentic-ai agent
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links