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LFX Insights
HEALTH SCORE
Fair
65out of 100

Maintainer coverage drags the score down. Development cadence and security posture help keep it from falling further.

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 1 day.

Bus factor

Only 1 active maintainer currently has merge rights.

Organization Diversity

Contributors span 55 organizations.

Project Achievements

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About
PuLP is an open-source linear programming modeler written in Python. It allows users to describe optimization problems in Python using a natural syntax, then solve them using external solvers. The software enables modeling of linear programming (LP) and mixed integer programming (MIP) problems.
First commit
Software value
$848K
Tags
constraints
mip
pulp
python
solver
License(s)
Other

Data sources

Git Git
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