DataComPy
DataComPy compares Pandas, Polars, Spark, and Snowpark dataframes, with output that includes comparison statistics.
About DataComPy
DataComPy is a Python package for comparing two dataframes or tables. It works with Pandas, Polars, Spark, and Snowflake, and it accepts CSV, Parquet, and JSON files on the pandas, polars, and Spark backends. Compared with a basic equality check, it prints comparison statistics and lets you adjust how close values must be to count as matches. It can be installed with pip or conda.
Pricing is not clearly stated.
Key features
- Built-in datacompy command for ad hoc checks and CI pipelines
- Exit codes that separate matches, differences, and errors
- Typed report data for dashboards, JSON export, or custom rendering
- Snowflake tables can be compared in place
- Supports classic Spark and Spark Connect
Good for
- Released under the Apache-2.0 license
Watch out for
- Older v0.19.x releases get no new features or regular maintenance
- Spark and Snowflake backends need extra packages installed with pip
DataComPy at a glance
- Category
- Development › Developer Tools
- 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
Guides for Developer Tools
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