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 6 of 529 Results

library

743

dd-trace-go (v1)

May 2025

Go

Go package is 'gopkg.in/DataDog/dd-trace-go.v1'.

  • Datadog

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

library

743

dd-trace-go (v2)

May 2025

Go

Go package is 'github.com/DataDog/dd-trace-go/v2'. Note: v2 is in Preview.

  • Datadog

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

library

705

dd-trace-js

May 2025

Node.js

dd-trace-js is Datadog's APM (Application Performance Monitoring) tracer library for Node.js applications. It enables automatic and manual tracing of application performance, distributed traces, and integrates with the Datadog Agent to report telemetry data. Supports integration with the OpenTelemetry API for custom instrumentation.

  • Datadog

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

library

641

dd-trace-java

May 2025

Java

dd-trace-java is Datadog's Java tracer library for Application Performance Monitoring (APM). It enables automatic and manual tracing and profiling of Java applications, providing features such as distributed tracing, continuous profiling, error tracking, CI visibility, deployment tracking, and code hotspot identification. The library supports automatic instrumentation of common Java frameworks and libraries, and offers APIs for custom instrumentation and advanced configuration.

  • Datadog

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

library

630

datadogpy

May 2025

Python

The Datadog Python library (datadogpy) provides convenient interfaces for interacting with Datadog’s HTTP API and sending metrics, events, and service checks via DogStatsD. It supports both UDP and Unix Domain Socket (UDS) transports for DogStatsD. It also provides a CLI tool ('dog') for API operations.

  • Datadog

    https://github.com/DataDog/datadogpy

library

576

dd-trace-py

May 2025

Python

The dd-trace-py library enables Datadog APM features for Python applications, including distributed tracing, continuous profiling, error tracking, CI visibility, deployment tracking, code hotspots, and dynamic instrumentation. It provides automatic and manual instrumentation for various Python frameworks and libraries.

  • Datadog

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