prometheus/client_python
Prometheus instrumentation library for Python applications observed · 2026-08-28
Health v2 · maintenance only
92/100
- Activity 97
- Release rhythm 82
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 85
- age_days: 4222
- days_rel: 40
- days_push: 20
- n_releases_24m: 10
Adoption not part of the score
4361 stars · 874 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The official Python client library for Prometheus, providing instrumentation to expose application metrics such as counters, gauges, and histograms. It lets Python applications export metrics in the Prometheus exposition format for scraping.
Use cases
- instrument a Python web app with Prometheus metrics
- expose counters and histograms from a Python service
- track request latency and error rates in Python
- add custom business metrics to a Python application
- scrape metrics from a Python app with Prometheus
When to choose
- you run Python services monitored by Prometheus
- you need the official, well-maintained metrics client
- you want standard counter/gauge/histogram/summary metric types
When to avoid
- you use a non-Python stack
- you need full observability beyond metrics (tracing, logs) in one library
- you push metrics to a non-Prometheus monitoring system
Facets
library · maturity stable
monitoring logging monitoring backend python cross-platform prometheus metrics instrumentation observability devops
1 source
- readme: https://github.com/prometheus/client_python · fetched 2026-08-28 · d6eccea8fce7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| prometheus/client_python | main | 92 |
For agents
markdown · JSON · MCP: product_card(name="prometheus/client_python")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem