Butterfree provides tools for building feature stores and transforming raw data.
Open source
24 alternativesPySyft
PySyft supports data science on data that remains on another person’s server.
About PySyft
PySyft is a Python project for data science on data that remains in someone else's server. Data scientists submit computations that data owners run on private data through cloud storage organizations already use, such as Google Drive and Microsoft 365, with only approved results shared. It provides packages syft and syft-rds, documentation with workflow, API reference and setup guides, and tutorials for private LLM evaluation and log analysis.
Pricing is not clearly stated.
Key features
- Explore mock data before jobs run on real data
- Run jobs in sandboxed Python virtual environments
- Require owner approval for each collaborator before data flows
- Keep working offline with sync when connectivity resumes
- Use background email notifications, auto-approval and dashboard
Best for: Data scientists and data owners collaborating on private datasets without moving private data.
PySyft at a glance
- Website
- github.com/OpenMined/PySyft
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 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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