Python SDK – forecasting with foundation time-series and tabular models
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Python SDK – forecasting with foundation time-series and tabular models launched on December 18, 2025 with 43 votes, #455 of 11,628 launches that month and more than 90% of that year's launches.
In plain words
The Python SDK provides a toolkit for running inference on foundation models built specifically for time-series and tabular data forecasting tasks. Users can apply these models directly without training or feature engineering. The SDK is designed for developers working with time-series analysis and tabular datasets who need ready-to-use predictive capabilities.
written from the facts on this page · September 2026
From the sources
The Rebrandly Python SDK makes it easier to create and manage branded short links with the API. Install via pip to save development time and reduce code complexity.
Python sdk for zero-shot time-series forecasting. Contribute to S-FM/faim-python-client development by creating an account on GitHub.
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