# etsy/logster

Parse log files, generate metrics for Graphite and Ganglia

Repository: https://github.com/etsy/logster
Canonical: https://ross.abutalabs.com/products/logster
Language: Python
License: NOASSERTION
License Family: other
Topics: non-sox
Last push: 2023-11-27T20:48:23+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5654, "days_push": 1010, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1960, forks 265 (observed 2026-08-28T04:05:59.371483+00:00)

## What it is
Logster is a Python CLI utility that reads log files, applies regex-based parser classes to extract data, and emits metrics to outputs like Graphite, Ganglia, CloudWatch, Nagios, StatsD, or stdout. It maintains a tailing cursor per log file so cron-driven runs only process new entries, enabling near real-time metric trends.

## Use cases
- graph http response codes from web server logs
- generate metrics from log files for graphite
- track error log trends in near real time via cron
- parse custom log formats and export to statsd
- monitor application log events in cloudwatch

## When to choose
- you want cron-driven, near real-time metrics extracted from log files
- you need pluggable regex parsers and multiple metric backends
- you prefer simple python parser scripts over log-shipping pipelines

## When to avoid
- you need full log shipping or structured log aggregation rather than metrics
- you want a daemonized continuous tailer
- you need actively developed tooling with modern metric backends

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: logging, monitoring, parser, analytics, cli
- domain: monitoring, analytics, developer-tools
- platform: python, cli
- tags: log-parsing, graphite, ganglia, metrics, log-tailing, etsy, devops, command-line, linux

## Member repositories
- etsy/logster (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.371483+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 2026-08-30T03:05:44.152303+00:00, confidence not recorded.
  - readme: https://github.com/etsy/logster (fetched 2026-08-28T04:05:59.371483+00:00, sha 26830458173e)
- Data as of 2026-08-30T08:39:29.467469+00:00.