Explore Integrations, Libraries, and More

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

Showing 12 of 81 Results

library

564

hot-shots

Node.js

hot-shots is a Node.js client for sending metrics and events to StatsD servers, including Etsy’s StatsD, Datadog’s DogStatsD, and InfluxDB’s Telegraf.

  • Brightcove

    https://github.com/brightcove/hot-shots

library

558

dd-trace-php

PHP

dd-trace-php is Datadog’s PHP tracing library that enables Application Performance Monitoring (APM) and distributed tracing for PHP applications. It provides automatic and manual instrumentation for popular PHP frameworks, libraries, and datastores.

  • Datadog

    https://github.com/DataDog/dd-trace-php/

library

415

dd-trace-rb

Ruby

Datadog's official Application Performance Monitoring (APM) tracer. Collects distributed traces and performance metrics from Ruby applications and supports automatic instrumentation for popular Ruby frameworks and libraries.

  • Datadog

    https://github.com/DataDog/dd-trace-rb

library

347

spandex

Elixir

Spandex is an Elixir library for instrumenting applications with distributed tracing, with built-in support for exporting trace data to Datadog. It provides macros and functions to create and manage spans, supports asynchronous trace propagation, and integrates with Phoenix via middleware plugs.

  • Zach Daniel

    https://github.com/zachdaniel/spandex

library

286

DatadogSDK

Swift

The Datadog SDK for iOS and tvOS enables seamless monitoring and observability for your mobile applications. It provides Swift and Objective-C libraries to collect logs, traces, and Real User Monitoring (RUM) events, with support for WebView tracking to monitor hybrid apps.

  • Datadog

    https://github.com/DataDog/dd-sdk-ios

library

286

statix

Elixir

Statix is a fast and efficient Elixir client for StatsD-compatible servers, designed for high-throughput metric collection with low memory usage. It features direct socket communication, UDP packet header caching, and connection pooling to maximize performance, making it ideal for real-time monitoring and analytics in Elixir applications.

  • Aleksei Magusev

    https://github.com/lexmag/statix