PySyft supports data science on data that remains on another person’s server.
Open source
24 alternativesButterfree
Butterfree provides tools for building feature stores and transforming raw data.
About Butterfree
Butterfree is a Python library from the MLOps team at QuintoAndar for building feature stores. It is meant for building ETL pipelines for feature stores using Apache Spark, and it is released under the Apache License 2.0. The code is on GitHub, and the package can be installed from PyPI. Documentation is hosted on Read the Docs, and notebook examples are included.
Pricing is not clearly stated.
Key features
- Spark-based Extract, Transform and Load modules
- Declarative feature engineering that defines what to compute
- Processing and loading of data into a feature store
- Notebook examples for practical use
Best for: Teams building ETL pipelines for feature stores with Apache Spark in Python.
Watch out for
- Depends on Python 3.7 or later
Butterfree at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 21, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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