OpenMeter: Real-time Usage Metering and Billing for Modern Applications

OpenMeter: Real-time Usage Metering and Billing for Modern Applications

Summary

OpenMeter is an open-source platform designed for real-time metering and billing in AI, API, and DevOps contexts. It enables the collection and aggregation of millions of usage events, facilitating robust usage-based billing models. This tool provides essential infrastructure for companies looking to monetize their services based on actual consumption.

Repository Info

Updated on October 18, 2025
View on GitHub

Tags

Click on any tag to explore related repositories

Introduction

OpenMeter is a powerful and flexible open-source platform for real-time metering and billing, ideal for AI, API, and DevOps companies. It enables the collection and aggregation of millions of usage events in real-time, empowering usage-based billing models. Built in Go, OpenMeter offers real-time insights and the ability to enforce usage limits, making it a robust solution for managing and monetizing service consumption.

Installation

Getting started with OpenMeter is straightforward, with several options available for different environments.

Local

To try OpenMeter locally in minutes:

git clone git@github.com:openmeterio/openmeter.git
cd openmeter/quickstart
docker compose up -d

Check out the quickstart guide for a 5-minute overview and demo.

Cloud

You can sign up for a free account and start metering your usage in the cloud.

Deploy to Kubernetes

To deploy OpenMeter to your Kubernetes cluster, use the official Helm chart.

Examples

OpenMeter provides a variety of examples to illustrate common use-cases:

Why Use OpenMeter?

OpenMeter stands out as an essential solution for businesses looking to implement usage-based billing and gain detailed insights into their service consumption.

  • Real-time Metering: Collect and aggregate usage events instantly, providing up-to-date data for business decisions.
  • Flexible Billing: Supports complex usage-based billing models, adapting to the needs of AI, API, and DevOps.
  • Scalability: Designed to handle millions of usage events, ensuring performance even under high demand.
  • Insights and Limits: Offers actionable insights and the ability to enforce usage limits to manage costs and resources.
  • Easy Integration: With a robust REST API and client SDKs for JavaScript, Python, and Go, integration is simplified.
  • Open Source: Licensed under Apache 2.0, it offers transparency and flexibility for customization.

Useful Links