Yet another linear programming solver. (A rewrite of javascript-lp-solver.) Aims to be decently fast.
Easy to use, JSON oriented Linear Programming and Mixed Int. Programming Solver
Reusable building blocks for iterative solvers, multi-stage solver pipelines, and React-based solver debugging UIs.
The goal of this module is to find the best schematic layout for a set of `SchematicChip`s and `SchematicGroups` containing `SchematicPins` connected to each other with `SchematicTraces`
LI.FI SDK for Any-to-Any Cross-Chain-Swap
Contains utils and interfaces shared across different LP components
JavaScript package for modelling (Integer) Linear Programs
<SectionRenderer> + 12 components React do sistema LP-as-data Chrono
`@bananapus/univ4-lp-split-hook-v6` is a split hook that accumulates reserved Juicebox project tokens and then deploys them into a Uniswap V4 concentrated liquidity position bounded by the project's issuance and cash-out economics.
A TypeScript SDK to extract and correct JSON from LLM outputs
Node.js binding for the HiGHS optimization solver
Streaming length prefixed buffers with async iterables
Request helpers
Our Components
A Node.js binding for lp_solve
A wasm build of the HiGHS (highs.dev) MILP solver with a convenient typescript interface. Runs with zero dependencies in both node and web environments.
React HOCs
Solve Rubik's cube using the Kociemba algorithm.
redux middleware and api library
LegisPro CLI
Portable guided tour (coachmark) system for React Native / Expo Router apps
The Eco Routes Protocol is a decentralized intent based system that allows users to submit their intent to the network and have it fulfilled by a solver on the destination rollup of their choise.
A convenience-wrapper around protocol-buffers and lp-messages functions
Extensions for the reduxForm HOC
.lp file format implementation and external solver invocation for Cbc, Gurobi, cplex, and GLPK
A Rust parser for the LP file format.
Mixed Integer Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.
Pure-Rust port of PyPortfolioOpt: expected returns, risk models, mean-variance optimisation, Black-Litterman, hierarchical risk parity, the Critical Line Algorithm, and discrete allocation.
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