data_algebra is a data manipulation language that can both generate SQL queries and work on Pandas DataFrames.
data_algebra is a piped data wrangling system
based on Codd's relational algebra and experience working with data manipulation languages at scale.
The primary purpose of the package is to support an easy to
compose and maintain grammar of data processing steps that in turn can be used to generate
database specific SQL. The package also implements the same transforms for Pandas and Polars DataFrames.
Currently the system is primarily adapted and testing for Pandas, Polars, Google BigQuery, PostgreSQL, SQLite, Spark, and MySQL.
R versions of the system are available as the rquery and rqdatatable packages.
FAQs
data_algebra is a data manipulation language that can both generate SQL queries and work on Pandas DataFrames.
We found that data-algebra demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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