io.github.winedarksea/AutoTS

mcp-serverNo score yet

Automated Time Series Forecasting

GitHub ↗PyPI ↗

Stars

1,415

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Δ stars 30d

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Forks

123

Contributors

1

npm DL / wk

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PyPI DL / wk

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Language

Python

Last push

2026-06-09

About io.github.winedarksea/AutoTS

AutoTS is a time series package for Python designed for rapidly deploying high-accuracy forecasts at scale. Give it a try in your browser with the official demo app. In 2023, AutoTS won in the M6 forecasting competition, delivering the highest performance investment decisions across 12 months of stock market forecasting. There are dozens of forecasting models usable in the `sklearn` style of `.fit()` and `.predict()`. These includes naive, statistical, machine learning, and deep learning models. Additionally, there are over 30 time…

Read the full README on GitHub →

Install

pip install autots-mcp
Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is io.github.winedarksea/AutoTS still maintained?
Yes — actively maintained. The last push was on 2026-06-09, with 1 contributors.
What are the best io.github.winedarksea/AutoTS alternatives?
Closest by category and size in our data: io.github.nrwl/nx-console, flux159/mcp-server-kubernetes, qdrant/mcp-server-qdrant — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 24 open issues · 68 releases