Explore Integrations and Libraries

Discover and build community-driven integrations and libraries to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 42 of 79 Results

library

40

May 2025

Ruby client for interacting with the Datadog API, allowing you to manage and monitor your Datadog resources programmatically. It supports all major Datadog API endpoints, including unstable/beta features, and offers flexible configuration for authentication, server selection, logging, proxy support, pagination, and automatic retries.

  • Datadog

    https://github.com/DataDog/datadog-api-client-ruby

library

34

June 2023

A Crystal client library for sending metrics to StatsD servers. Supports counters, gauges, timers, and Datadog-style tags. Simple API for instrumenting your Crystal applications with real-time metrics.

  • Mike Fiedler

    https://github.com/miketheman/statsd.cr

library

33

June 2020

An unofficial library for integrating Datadog Application Performance Monitoring (APM) with Rust applications. Enables collection and reporting of tracing data to Datadog, allowing developers to monitor and analyze application performance. See the documentation and examples for integration details.

  • Pipefy

    https://github.com/pipefy/datadog-apm-rust

library

31

January 2023

Datadog API client for Scala.

  • NomadBlacky

    https://github.com/NomadBlacky/scaladog

library

30

October 2024

SaltStack formula for Datadog

library

26

July 2020

Swift library for sending metrics and events to the Datadog API. It allows you to easily report custom metrics and events from your iOS or macOS app, with support for customizable tags, event priorities, and alert types. SwiftDog can be integrated using Swift Package Manager or CocoaPods, and requires a configuration file with your Datadog API and app keys.

  • Jacob Aronoff

    https://github.com/jaronoff97/SwiftDog