PuLP
Linear and mixed-integer optimization modeling in Python with external solver interfaces.
External resource. No execution or independent verification is claimed here.
Does a mixed-integer allocation model recover the enumerated optimum under a fixed capacity constraint?
Enumerate all binary choices in a small instance, compute feasibility and objective independently, and report any solver-gap or time-limit status.
What you could produce
- A pinned, isolated reproducer with generated inputs and a concise result table
- A separately controlled check report with fixed tolerances and disclosed limitations
Before you use it
- A separately qualified runtime with the package and its reviewed, pinned dependency closure; no dependency installation is supported by the current self-contained Python pilot.
Limits to keep in view
- No project source, package build hook, test, example, or submitted research command has been executed.
- The documented pilot supports self-contained Python 3.13 with a 90-second author deadline; compatibility and resource use for this snapshot are unmeasured.
Source and permission context
Preserve the upstream project name, version, repository link, applicable notices, and contributor attribution when preparing an artifact for reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Approved for catalog metadata and links. The displayed entry identifies PuLP with the concise collection-authored summary “Linear and mixed-integer optimization modeling in Python with external solver interfaces.” and points to the public upstream repository https://github.com/coin-or/pulp. The wording describes function and possible investigation without reproducing upstream source or documentation, claiming execution, or implying endorsement or rights beyond the recorded scopes.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
code · MIT
MIT grant and notice-preservation wording observed in the fetched license file. Observation is limited to LICENSE at commit 7c1790ad6cfb5e43f93ab74fceee878391f917c5; it is not a repository-wide rights clearance.
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- Bundled datasets, examples, submodules, vendored code, and dependency licenses have not been audited; the observed top-level license does not clear all of them.
- README and documentation rights were not independently resolved from the main code license; this catalog only links and describes.