blaze/odo

Health v2 · maintenance only

Adoption not part of the score

1006 stars · 131 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Odo is a Python library for migrating data between different containers, from in-memory structures like lists and pandas DataFrames to out-of-core stores like SQL databases, HDF5 files, and Spark. It uses a network of small conversion functions and finds the shortest path between source and target types.

Use cases

• load a csv file into a pandas dataframe
• migrate data from hdf5 into a postgresql table
• convert between python data containers
• load csv into a sql database
• transfer data between different storage formats
• move data from s3 into redshift

When to choose

• you need to move data between heterogeneous formats like CSV, SQL, HDF5, or Spark
• you want an extensible conversion system where you can register custom type conversions
• you work in the Blaze/pandas ecosystem and need out-of-core data transfers

When to avoid

• you need a modern, actively maintained ETL tool - the project has not released since 2022 and targets legacy Python ecosystems
• you only need simple one-format parsing that a dedicated library handles better
• you need streaming or real-time data pipelines rather than batch migration

Facets

library · maturity maintenance

etl serialization database-driver data-science databases data-science big-data python cross-platform data-migration data-conversion csv hdf5 sql blaze-project out-of-core data-engineering

Member repositories

For agents

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