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 671 Results

library

752

dd-trace-go

Go

Datadog's APM tracer library for Go automatically instruments HTTP, gRPC, and database operations, providing visibility into request flows across services. Supports OpenTelemetry integration and custom instrumentation. Enables correlation of traces with logs and metrics in Datadog, helping identify performance bottlenecks and errors in distributed systems.

  • Datadog

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

library

716

dd-trace-js

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

646

dd-trace-java

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

633

datadogpy

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

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

library

532

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