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 30 of 529 Results

library

99

May 2025

serverless-plugin-datadog is a Serverless Framework plugin that automates Datadog integration for AWS Lambda applications. . The plugin enables collection of enhanced metrics, distributed traces, and logs, and supports features like AWS X-Ray tracing, App and API Protection (AAP), source code integration, and continuous profiling. Supports Node.js, Python, Ruby, Java, Go, and .NET runtimes.

  • Datadog

    https://github.com/DataDog/serverless-plugin-datadog

library

96

February 2025

DogApi is a Ruby client library for interacting with the Datadog API, designed to simplify the process of reporting events and metrics from your Ruby applications or scripts. It provides a higher-level abstraction over Datadog’s HTTP API, making it easy to submit metrics, send events, tag hosts, and retrieve metric data.

  • Datadog

    https://github.com/DataDog/dogapi-rb

library

95

August 2023

C# client library for DogStatsD, Datadog’s extension of the StatsD metric server. Features client-side metric aggregation, batching for efficient network usage, and supports Unix domain sockets (UDS) on supported platforms.

  • Datadog

    https://github.com/DataDog/dogstatsd-csharp-client

library

89

May 2025

Provides automatic collection of enhanced Lambda metrics, distributed tracing, and enables custom metric submission to Datadog. The library supports tagging telemetry, capturing Lambda request and response payloads, filtering sensitive information from logs and traces, and advanced cold start tracing options. Optional continuous profiling allows collection of CPU and memory snapshots during Lambda execution.

  • Datadog

    https://github.com/DataDog/datadog-lambda-python

library

88

May 2025

Official Node.js client for interacting with the Datadog API, allowing you to programmatically manage monitors, metrics, dashboards, incidents, and more. The client offers flexible configuration for request logging, retry logic, request timeouts, and compression. It also supports unstable endpoints, pagination helpers, and can be extended for custom HTTP behavior such as proxy support.

  • Datadog

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

library

85

December 2017

Node.js client for sending metrics to Datadog's extended StatsD server. It supports Datadog-specific features such as histograms and tags, in addition to standard StatsD metric types like counters and timers. This library allows you to easily instrument your Node.js applications with custom metrics that can be visualized and monitored in Datadog.

  • Young Han Lee

    https://github.com/joybro/node-dogstatsd