repository·main·Indexed 22 days ago
https://github.com/open-telemetry/opentelemetry-python-contribA collection of auto-instrumentation libraries, exporters, and SDK extensions for various Python integrations. It provides telemetry for popular libraries following the OTEP 0001 standard, including GenAI instrumentations for OpenAI, Anthropic, and LangChain, as well as a Prometheus Remote Write Exporter. These libraries are currently in beta and are designed to collect traces and metrics without manual instrumentation.
The opentelemetry-python-contrib repository provides various instrumentation packages to automatically collect traces and metrics from popular Python libraries.
When choosing an instrumentation package, consider:
development: The instrumentation is actively being developed and semantic conventions may change.migration: The instrumentation is in a transition phase regarding semantic conventions.Refer to the specific package documentation for installation and configuration details.
opentelemetry-instrumentation-wsgi library provides a middleware component compatible with any WSGI framework (e.g., Django, Flask). When integrated into your application's middleware stack, it automatically tracks the timing and lifecycle of incoming HTTP requests using OpenTelemetry.opentelemetry.instrumentation.wsgi module provides instrumentation for WSGI (Web Server Gateway Interface) applications. It allows you to automatically capture traces for incoming requests in any Python web application that follows the WSGI standard (such as Flask, Django, or Bottle) when they are served via a WSGI server.opentelemetry-instrumentation-redis library provides automatic or manual instrumentation to capture traces for operations performed using the Redis client library. This allows you to observe the latency and lifecycle of Redis commands within your distributed traces.botocore library. This instrumentation tracks the lifecycle of AWS requests, providing visibility into outgoing calls to AWS services.aio-pika library, allowing you to trace asynchronous AMQP requests. For detailed API documentation and advanced usage, refer to the official instrumentation guide.botocore and aiobotocore libraries, allowing you to observe AWS service interactions within your Python applications.opentelemetry-instrumentation-pika library provides instrumentation for the pika library, allowing you to capture traces for RabbitMQ interactions and requests made through pika.The opentelemetry-instrumentation-tortoiseorm library provides tracing capabilities for queries executed through Tortoise ORM backends. It currently supports the following database types:
mysqlpostgressqliteopentelemetry-instrumentation-pymemcache package provides automatic instrumentation for the pymemcache client. It allows you to capture traces for cache operations performed using the pymemcache library, enabling visibility into cache hits, misses, and latency within your distributed tracing system.This library provides both automatic and manual instrumentation for Starlette applications. It instruments the HTTP requests served by the framework.
Automatic instrumentation is also supported using the opentelemetry-instrumentation package.