# odygrd/quill

Ultra-low-latency asynchronous C++17 logging and metrics library for performance-critical applications

Repository: https://github.com/odygrd/quill
Canonical: https://ross.abutalabs.com/products/odygrd-quill
Homepage: https://quillcpp.readthedocs.io
Language: C++
License: MIT
License Family: permissive
Topics: cpp, low-latency, logging-library, logging, asynchronous, async, logger, cpp17, log-library, cpp20, cross-platform, fmtlib, high-performance, metrics, observability, prometheus, structured-logging, cpp-logging
Last push: 2026-08-26T19:21:54+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 2422, "days_push": 7, "days_rel": 9, "gap_med": 17.5, "n_releases_24m": 29}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3008, forks 272 (observed 2026-08-28T04:07:37.624245+00:00)

## What it is
Quill is an ultra-low-latency asynchronous logging and metrics library for C++17. It is designed for performance-critical applications where logging overhead must be minimal.

## Use cases
- add logging to a low-latency C++ trading application
- log asynchronously without blocking hot code paths
- structured logging in C++ with fmt-style formatting
- collect and expose metrics in a C++ service
- replace spdlog/glog with a faster logger

## When to choose
- you need extremely low logging latency in C++
- you want asynchronous background-thread logging
- you need cross-platform C++ logging with structured output

## When to avoid
- you need a simple logger and don't care about latency
- your project is not C++17 or newer
- you need logging integrated into a non-C++ stack

## Facets
- artifact type: library
- maturity: active
- function: logging, monitoring, serialization
- domain: developer-tools, performance, monitoring
- platform: windows, bsd, cpp, cross-platform
- tags: low-latency, asynchronous-logging, structured-logging, metrics, fmtlib, c++17, high-performance, linux, macos

## Member repositories
- odygrd/quill (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:37.624245+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 2026-08-30T07:30:20.674869+00:00, confidence not recorded.
  - readme: https://github.com/odygrd/quill (fetched 2026-08-28T04:07:37.624245+00:00, sha 67fc96d00ea3)
- Data as of 2026-08-30T08:39:29.467469+00:00.