Nixtla/nixtla
TimeGPT-2.1: 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 🚀.
4k stars · 341 forks · Jupyter Notebook
Healthy
Healthy: actively maintained by 8 people, no known risks.
Why
No rule fired.
What would change this
- A dormant maintenance status, a deprecated or archived package, a successor link, or a critical advisory would change this.
Maintenance
CompleteActive
- Human commits, 30 days
- 19
- Human commits, 90 days
- 48
- Human commits, 365 days
- 125
- Bot share of commits, 365 days
- 26%
- Last commit
- Oct 14, 2026 (23 hours ago)
- Last human commit
- Oct 14, 2026 (23 hours ago)
- Authors, 90 days
- 8
- Last release
- Sep 21, 2026 (24 days ago)
- Median PR merge time
- 4 hours
Responsiveness: of 1 recent issues, n/a got a maintainer reply. Median first response: n/a.
- Only 1 recent issues can be checked for a response, too few to measure response time.
Sources: Commits, Releases, Merged pull requests, Issues
People
Complete- Owner
- Organization
- Commits sampled
- 125 since Oct 15, 2025
- Authors for half of commits
- 3
- Authors for 80% of commits
- 5
- Contributors
- 28
Top committers
- JQGoh: 27% of commits
- gee-senbong: 22% of commits
- rslmrn: 13% of commits
- deven367: 10% of commits
- loama: 9% of commits
The top committer changed during this period.
Sources: Commits, Contributors
Stars
CompleteOrganic, confidence high
Bursts
- Dec 5, 2021 to Dec 6, 2021: about 51 more stars than usual, peak 27 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
- Jun 6, 2022 to Jun 7, 2022: about 17 more stars than usual, peak 14 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Oct 13, 2023 to Oct 13, 2023: about 18 more stars than usual, peak 19 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- Feb 15, 2024 to Feb 15, 2024: about 20 more stars than usual, peak 21 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- May 8, 2024 to May 13, 2024: about 153 more stars than usual, peak 66 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in issues and pull requests.
- May 27, 2024 to May 28, 2024: about 55 more stars than usual, peak 47 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Oct 26, 2025 to Nov 2, 2025: about 485 more stars than usual, peak 278 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Feb 20, 2026 to Feb 23, 2026: about 101 more stars than usual, peak 48 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Anyone can buy stars for any repo; bursts alone don't prove the owner did.
- The star history looks organic.
Sources: How star history is analyzed
Risk
CompleteFlags
No risk flags.
License
- Now
- Apache-2.0 (OSI-approved)
- A year ago
- Apache-2.0 (OSI-approved)
Packages
- nixtla (PYPI): latest 0.9.0, published Sep 21, 2026
Advisories for the latest version: none listed
Package and advisory data: deps.dev and OSV.
OpenSSF Scorecard: 6.6 out of 10 (via deps.dev).
Sources: GitHub: Nixtla/nixtla, deps.dev: PyPI nixtla
Badge
Add this to a README to show the current verdict:
[](https://reporadar.ai/Nixtla/nixtla)Earlier verdicts
- Oct 15, 2026: Healthy
- Oct 14, 2026: Healthy