Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
🐢 Open-Source Evaluation & Testing library for LLM Agents
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
$ npx skills add comet-ml/opikEvaluation and Tracking for LLM Experiments and AI Agents
$ npx skills add truera/trulens🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
$ npx skills add langfuse/langfuseThe open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
$ npx skills add mlflow/mlflowRun any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
$ npx skills add bentoml/OpenLLMThe easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
$ npx skills add bentoml/BentoMLOpen-source observability for your GenAI or LLM application, based on OpenTelemetry
$ npx skills add traceloop/openllmetry🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
$ npx skills add Helicone/helicone⚙️🦀 Build modular and scalable LLM Applications in Rust
$ npx skills add 0xPlaygrounds/rigNext-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
$ npx skills add coze-dev/coze-loopPython SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
$ npx skills add raga-ai-hub/RagaAI-CatalystBuild, Manage and Deploy AI/ML Systems
$ npx skills add Netflix/metaflowThe open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
$ npx skills add Agenta-AI/agentaThe platform for LLM evaluations and AI agent testing
$ npx skills add langwatch/langwatchShip AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
$ npx skills add GoogleCloudPlatform/agent-starter-packAI Observability & Evaluation
$ npx skills add Arize-ai/phoenixHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Giskard Oss if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.