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 24 of 81 Results

library

166

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

library

162

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

147

datadog-metrics

datadog-metrics is a Node.js library for collecting and sending custom application metrics to Datadog via its HTTP API, without needing the Datadog Agent. It buffers metrics locally for efficient, periodic submission, minimizing performance impact. datadog-metrics is ideal for environments like serverless or containers where installing the Datadog Agent is not feasible.

  • Daniel Bader

    https://github.com/dbader/node-datadog-metrics

library

125

datadog-lambda-js

datadog-lambda-js library captures traces, logs, and metrics, and provides options to tag telemetry, scrub sensitive data, and capture Lambda request/response payloads. It also supports cold start tracing, fine-grained payload depth controls, and profiling.

  • Datadog

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

library

106

serverless-plugin-datadog

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

104

datadog-api-client

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