alex-sherman/deco

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1567 stars · 49 forks observed · 2026-08-28

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

DECO is a Python library that provides decorators for automatic parallelization of Python programs using multiprocessing.pool. It requires minimal code changes—just @concurrent and @synchronized decorators—to make use of all CPU cores.

Use cases

• parallelize a slow python loop across all cpu cores
• speed up processing of large datasets with minimal code changes
• run independent function calls concurrently in python
• avoid manually managing multiprocessing pools
• parallelize grid computations like lat/lon processing

When to choose

• you have a serial python program with slow, independent function calls
• you want near-zero-effort parallelism with just two decorators
• your functions take longer than ~1ms and arguments are pickleable

When to avoid

• your functions run in under ~1ms, where overhead makes code slower
• you need fine-grained control over workers, queues, or async patterns
• arguments or return values cannot be pickled
• you need an actively developed library—last release was 2021

Facets

library · maturity maintenance

concurrency developer-tools performance python cross-platform parallel-computing decorators multiprocessing python-library

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