lapx
lapx is an open-source Python package for solving linear assignment problems, including single and batch assignments. It implements solver algorithms such as Jonker-Volgenant for developers and data scientists.
Overview
5 featuresIn the Optimisation & solvers space, lapx takes a focused approach. It focuses on solving single and batch linear assignment problems efficiently in Python. It is built as an open-source project for python developers and data scientists. lapx is open source under the MIT license. It ships for the command line, and it can be self-hosted.
It is developed by rathaROG, and it first shipped in 2023. Development happens publicly on GitHub with 44 stars and 21 commits in the last 90 days. Key capabilities include single assignment solving, batch assignment solving, and LAPJV algorithm.
Summary written by a language model from the project’s public pages.
- Single assignment solving
- Batch assignment solving
- LAPJV algorithm
- LAPMOD algorithm
- Python package
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about lapx
- What does lapx do?
- Lapx focuses on solving single and batch linear assignment problems efficiently in Python. It is catalogued under Optimisation & solvers on PulseGate.
- Who should use lapx?
- lapx is an open-source project built for python developers and data scientists.
- Does lapx have a free plan?
- Yes — lapx is open source under the MIT license and free to use.
- What platforms does lapx run on?
- lapx runs on the command line. It can also be self-hosted.
- Is lapx still active?
- The GitHub repository shows 21 commits in the last 90 days.
- What projects are similar to lapx?
- Similar projects tracked by PulseGate include CostGPT AI, Eignex, and Subspace.CostGPT AIEignexSubspace
- Who makes lapx?
- lapx is developed by rathaROG.
- When did lapx launch?
- lapx first shipped in 2023.
Also in Optimisation & solvers
Same category — not a similarity match