EntilZha/PyFunctional

Health v2 · maintenance only

Adoption not part of the score

2488 stars · 134 forks observed · 2026-08-28

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

PyFunctional is a Python library for creating data pipelines using chained functional operators like map, filter, and reduce. Its API is inspired by Scala collections, Apache Spark RDDs, and Microsoft LINQ, and it can read and write many file formats including csv, , sqlite, and compressed archives.

Use cases

• chain map filter and reduce over collections in python
• build data pipelines with functional programming
• read and transform csv or sqlite data
• parallelize embarrassingly parallel map operations
• lazy evaluation of large data transformations
• linq-style collection manipulation in python

When to choose

• you want Spark-like or LINQ-style chained transformations in pure Python
• you need to read/write multiple file formats in a single pipeline
• you want lazy evaluation and easy parallel map without heavy dependencies

When to avoid

• you need distributed processing across a cluster (use Spark/Dask)
• you prefer pandas for tabular analytics
• your project avoids third-party dependencies for simple loops

Facets

library · maturity stable

etl data-science developer-tools data-science developer-tools python cross-platform functional-programming data-pipeline linq lazy-evaluation collections data-engineering

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