The official Python client for Prometheus.

The official Python client for Prometheus.

This tutorial shows the quickest way to get started with the Prometheus Python library.

Choose a Prometheus client library that matches the language in which your application is written. This lets you define and expose internal metrics via an HTTP endpoint on your application’s instance: Go · Java or Scala · Python · Ruby · Rust · Unofficial third-party client libraries: Bash ·

February 17, 2025 - It explores key concepts, including instrumenting your application with various metric types, monitoring HTTP request activity, and exposing metrics for Prometheus to scrape. The complete source code for this tutorial is available in this GitHub repository. Let's get started! ... Better Stack lets you see inside any stack, debug any issue, and resolve any incident. Explore more · Prior experience with Python and Flask, along with a recent version of Python installed.

September 15, 2023 - Prometheus is becoming a popular tool for monitoring Python applications despite the fact that it was originally designed for single-process multi-threaded applications, rather than multi-process.

Prometheus (source code) is an open source monitoring tool that can be used to instrument and report on Python web applications.

June 20, 2023 - Having written and deployed a Python Flask application, it would be useful to know how well it's performing. Keeping an eye on the number of requests handled, the duration of those requests and a count of any errors. Prometheus is the ideal way to capture and store these metrics along with additional Python runtime metrics.

January 13, 2025 - Prometheus is a powerful open-source monitoring system designed to scrape and store metrics data. This guide walks you through setting up a Prometheus server, integrating it with a Python application, and monitoring metrics.

July 6, 2023 - Prometheus is a powerful monitoring and alerting system that collects and stores time-series data. In this step-by-step guide, we will demonstrate how to expose metrics for a simple Python API app and monitor them using Prometheus.

May 28, 2025 - This article will delve into Prometheus data types, provide Python code examples to demonstrate their usage, analyze how they change over time (within one minute and five minutes), explain the underlying change principles, and finally present a Prometheus flowchart using English bash box diagrams.

March 27, 2026 - The Prometheus project maintains 4 official Prometheus metrics libraries written in Go, Java / Scala, Python, and Ruby.

Python is one of the four languages that has an official Prometheus client.

The official Python 2 and 3 client for Prometheus.

April 17, 2023 - It's a new python library for collecting metrics with prometheus with a focus on flexibility & multiprocessing.

A Prometheus Python client library for asyncio-based applications - claws/aioprometheus

A small python api to collect data from prometheus

A Flask application using the native Prometheus Python client to expose metrics via the /metrics endpoint

May 21, 2023 - >>> import prometheus_client >>> help(prometheus_client.Enum) To begin with, let’s see how it works in general — let’s write a script in Python, in which there will be a regular HTTP server on port 8080, and on port 9000 — an exporter that will collect statistics on requests with response codes and create a metric http_requests with two labels - in one we will store a response code, and in the other - the name of the host from which the metric was obtained.

Prometheus python client ================== Python 3 client library for [Prometheus](http://prometheus.io) that can serve data to prometheus (in text and protobuf formats) and also push data to a pushgateway.