Open-source observability for your LLM application, based on OpenTelemetry
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Updated
Jun 8, 2024 - Python
OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.
Open-source observability for your LLM application, based on OpenTelemetry
OpenTelemetry Python API and SDK
Uncomplicated Observability for Python and beyond! 🪵🔥
grafana.grafana Ansible collection provides modules and roles for managing various resources on Grafana Cloud and roles to manage and deploy Grafana Agent and Grafana
OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics in a single application 🔥 🖥 . Open source GenAI and LLM Application Performance Monitoring (APM) & Observability tool
Honeycomb's OpenTelemetry Python SDK distribution
🧑💻🔭 Digma helps you fix performance issues in your code by automatically profiling the code execution. Using APMs to identify code bottlenecks, query problems and scalability issues takes time and effort - Digma automates all of that. Digma is free for developers - get it here: https://digma.ai/get-digma/
Generate and push OpenTelemetry Trace data to an OTEL collector in JSON format
OpenTelemetry Python exporters for Google Cloud Monitoring and Trace
Official Python SDK of Infrastack AI
This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.
Free and open-source stock tracking website for America's biggest money managers. Democratizing SEC filings by making them more accessible and useful.
☁️ Build multimodal AI applications with cloud-native stack
OpenTelemetry Python distribution for Uptrace
Playground project that shows how to establish tracing with OpenTelemetry and Grafana Tempo in distributed system consiting of Python services.
Examples for experimenting with opentelemetry within a local kubernetes setup.
Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
Trace FastAPI with Jaeger through OpenTelemetry Python API and SDK.