Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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Updated
Jul 1, 2025 - Python
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Open-source observability for your LLM application, based on OpenTelemetry
Uncomplicated Observability for Python and beyond! 🪵🔥
Better Prometheus alerts for Kubernetes - smart grouping, AI enrichment, and automatic remediation
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.
Easy token price estimates for 400+ LLMs. TokenOps.
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
Kubediff: a tool for Kubernetes to show differences between running state and version controlled configuration.
Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More
Distribute and run AI workloads magically in Python, like PyTorch for ML infra.
Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
ML powered analytics engine for outlier detection and root cause analysis.
A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Datadog Python APM Client
LangSmith Client SDK Implementations
A robust streaming log template miner based on the Drain algorithm
Runbook automation platform with deep observability integrations for SRE & On-Call Teams
Open source data observability platform
Performance visualisation tools
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