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 12 of 529 Results

library

531

October 2024

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

524

May 2025

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

491

May 2025

The Datadog .NET Tracer enables distributed tracing, application performance monitoring, application security management, continuous integration visibility, and dynamic instrumentation. It supports a wide range of libraries out-of-the-box, with options for custom instrumentation. Also includes a continuous profiler for automatic application profiling.

  • Datadog

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

library

353

May 2025

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

341

October 2022

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

279

December 2023

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