Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
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/opik🪢 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/langfuseLangtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊
$ npx skills add Scale3-Labs/langtrace🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
$ npx skills add Helicone/heliconeThe platform for LLM evaluations and AI agent testing
$ npx skills add langwatch/langwatchThe 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/mlflow⚙️🦀 Build modular and scalable LLM Applications in Rust
$ npx skills add 0xPlaygrounds/rigBuild applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
$ npx skills add apache/burrLaminar - open-source observability platform purpose-built for AI agents. YC S24.
$ npx skills add lmnr-ai/lmnrRun any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
$ npx skills add bentoml/OpenLLMBuild, Manage and Deploy AI/ML Systems
$ npx skills add Netflix/metaflowThe 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/openllmetryEvidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
$ npx skills add evidentlyai/evidentlyAI Observability & Evaluation
$ npx skills add Arize-ai/phoenixNext-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-loopHow 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 Pezzo 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.