4 projects
json-extract-polars
A powerful Python utility designed to natively flatten, parse, and filter deeply nested JSON data into clean, normalized Polars DataFrames using lazy evaluation for extreme performance.
json-extract-pandas
A powerful Python utility designed to natively flatten, parse, and filter deeply nested JSON data into clean, normalized Pandas DataFrames. It acts as a powerful JSON-to-Pandas extraction engine for robust data pipelines.
apiphany
Apiphany is a declarative API orchestration engine. It enables developers to define complex API workflows—including authentication, pagination, chained requests, rate limiting, state tracking, and response extraction—through a fully validated configuration model. Powered by `httpx` and `asyncio`, Apiphany executes API workflows concurrently and seamlessly unpacks deeply nested JSON blobs into structured Pandas DataFrames or SQL tables.
fauxreal
A powerful, declarative fake data generation engine backed by Faker and Pandas
