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 429 Results

library

537

dd-trace-dotnet

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

387

dd-trace-rb

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

262

DatadogSDK

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

197

dogstatsd-ruby

dogstatsd-ruby enables you to send custom metrics, events, and service checks from your Ruby applications to the Datadog Agent via UDP or Unix Domain Sockets. The library supports advanced features such as asynchronous metric buffering with a dedicated sender thread for high performance, configurable packet sizes, tagging, sample rates, and origin detection for Kubernetes pods.

  • Datadog

    https://github.com/DataDog/dogstatsd-ruby

library

158

datadog-api-client-go

Official Go client library for the Datadog API, supporting both v1 and v2 endpoints. It enables developers to interact with Datadog programmatically for tasks such as creating users, managing incidents, querying metrics, and more. The library supports pagination, configurable retries, proxies, and logging, and can be easily integrated into Go applications.

  • Datadog

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

library

153

datadog-api-client-python

Official Python client library for the Datadog API, providing both synchronous and asynchronous (asyncio) interfaces, and includes features like pagination, retry on rate limiting, proxy configuration, and support for unstable endpoints.

  • Datadog

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