# enewhuis/liquibook

Modern C++ order matching engine

Repository: https://github.com/enewhuis/liquibook
Canonical: https://ross.abutalabs.com/products/liquibook
Language: C++
License: NOASSERTION
License Family: other
Last push: 2024-03-15T09:53:27+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4915, "days_push": 901, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1496, forks 439 (observed 2026-08-28T04:04:53.523069+00:00)

## What it is
Liquibook is a modern C++ order matching engine library providing the low-level components for matching buy and sell orders of fungible assets. It supports order properties like stop prices, All-or-None, and Immediate-or-Cancel, and can maintain market depth books.

## Use cases
- build a financial exchange matching engine
- backtest trading algorithms against a simulated order book
- match orders for non-financial fungible assets
- generate market depth data for a trading platform
- prototype a trading venue in C++

## When to choose
- you need a high-performance, embeddable C++ order matching core
- you want full control over trade execution and market data publication
- you need configurable order types like stop, AON, IOC, and FOK

## When to avoid
- you need a complete, ready-to-run exchange application with networking and persistence
- you want a managed cloud trading service
- you need a matching engine in a language other than C++

## Facets
- artifact type: library
- maturity: stable
- function: trading, simulation, developer-tools
- domain: fintech, simulation
- platform: cpp, cross-platform
- tags: order-matching-engine, exchange, market-data, depth-book, financial-trading, cryptocurrency, algorithms

## Member repositories
- enewhuis/liquibook (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:53.523069+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:33:12.524665+00:00, confidence not recorded.
  - readme: https://github.com/enewhuis/liquibook (fetched 2026-08-28T04:04:53.523069+00:00, sha 9eea74115c99)
- Data as of 2026-08-30T08:39:29.467469+00:00.