Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
🪢 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 platform for LLM evaluations and AI agent testing
$ npx skills add langwatch/langwatchDebug, 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/opikLaminar - open-source observability platform purpose-built for AI agents. YC S24.
$ npx skills add lmnr-ai/lmnrThe 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/mlflowThe open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
$ npx skills add Agenta-AI/agentaRun 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⚙️🦀 Build modular and scalable LLM Applications in Rust
$ npx skills add 0xPlaygrounds/rigAI 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-loop🐢 Open-Source Evaluation & Testing library for LLM Agents
$ npx skills add Giskard-AI/giskard-osscube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
$ npx skills add tencentmusic/cube-studioCommunity maintained hardware plugin for vLLM on Ascend
$ npx skills add vllm-project/vllm-ascendPython 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-CatalystHow 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 Helicone 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.