ibis-project/ibis-ml
IbisML is a library for building scalable ML pipelines using Ibis.
This library helps machine learning engineers and data scientists prepare large datasets for model training. It takes raw data, applies a series of preprocessing steps like handling missing values or scaling features, and outputs transformed data ready for use with popular ML models. You would use this if you build predictive models and need to manage your data preparation steps efficiently.
119 stars. No commits in the last 6 months.
Use this if you need to build robust and scalable data preprocessing pipelines for machine learning, especially when working with large datasets across various data backends.
Not ideal if you are looking for a standalone machine learning model training or deployment tool, as this focuses specifically on the data preparation phase.
Stars
119
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 27, 2025
Commits (30d)
0
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