drift-scope 0.0.2

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ddrift analyzes the differences between data sources, i.e. how much has dataset a drifted from dataset b. The framework is engine agnostic. Each engine is required to comply with simple abstract protocols in order to enable the standard reporting.

Engines Supported:

• DuckDB

Engines to be Supported:

• Postgres
• Polars
• Pandas

Install with pip install ddrift or (prefferebly) uv pip install ddrift

Getting Started

Let's create 2 simple tables and compare them to one another. The fundamental question we're asking is "How much has table2 drifted from table1?"

import duckdb

with duckdb.connect() as con:
    con.execute("CREATE TABLE table1 (city VARCHAR, state VARCHAR)")
    con.execute(
        "INSERT INTO table1 VALUES ('New York', 'NY'), ('Los Angeles', 'CA'), ('Chicago', 'IL')"
    )

    con.execute("CREATE TABLE table2 (city VARCHAR, state VARCHAR)")
    con.execute(
        "INSERT INTO table2 VALUES ('New York', 'NY'), ('Phoenix', 'AZ'), ('Philadelphia', 'PA')"
    )

    sql = SQLComparator(df1="table1", df2="table2", con=con)
    sql.comp_freq(vars=("city", "state"))

    print(sql.results) # prints a list of result objects containing an in memory representation