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Distributed

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HEALTH SCORE
Excellent
86out of 100

Strong maintainer coverage and development cadence. Security posture is the only remaining gap.

LIFECYCLE
Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 3 days.

Bus factor

13 active maintainers currently have merge rights.

Organization Diversity

Contributors span 35 organizations.

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About
Distributed is a lightweight library that extends Python's multiprocessing and concurrent.futures to enable parallel computing across multiple machines. It provides a distributed scheduler and task graph execution engine, allowing users to scale computations from a single machine to large clusters while maintaining a familiar Python interface.
First commit
Tags
dask
distributed-computing
pydata
python
License(s)
BSD-3-Clause

Data sources

Git Git
GitHub GitHub