#1
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
7.2K starsJun 11, 2026 pushdevelopmentPythonLLMOps
$ npx skills add traceloop/openllmetryAlternatives
BentoML alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
100
Quality
100
Trust
8.7K
Stars
#2
⚙️🦀 Build modular and scalable LLM Applications in Rust
7.6K starsJun 12, 2026 pushdevelopmentRustLLMOps
$ npx skills add 0xPlaygrounds/rig#3
Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.
6.6K starsJun 9, 2026 pushdevelopmentRustLLMOps
$ npx skills add katanemo/plano#4
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
20K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add comet-ml/opik#5
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
12K starsJun 8, 2026 pushdevelopmentPythonLLMOps
$ npx skills add bentoml/OpenLLM#6
Community maintained hardware plugin for vLLM on Ascend
2.2K starsJun 12, 2026 pushdevelopmentC++LLMOps
$ npx skills add vllm-project/vllm-ascend#7
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
6.5K starsJun 11, 2026 pushdevelopmentPythonLLMOps
$ npx skills add GoogleCloudPlatform/agent-starter-pack#8
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
5.4K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add zenml-io/zenml#9
🐢 Open-Source Evaluation & Testing library for LLM Agents
5.4K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add Giskard-AI/giskard-oss#10
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
2.4K starsJun 9, 2026 pushdevelopmentPythonLLMOps
$ npx skills add apache/burr#11
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
29K starsJun 12, 2026 pushdevelopmentTypeScriptLLMOps
$ npx skills add langfuse/langfuse#12
The 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.
26K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add mlflow/mlflow#13
Evidently 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.
7.6K starsMay 2, 2026 pushdevelopmentJupyter NotebookLLMOps
$ npx skills add evidentlyai/evidently#14
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
5.8K starsJun 11, 2026 pushdevelopmentTypeScriptLLMOps
$ npx skills add Helicone/helicone#15
Python 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
16K starsFeb 11, 2026 pushdevelopmentPythonLLMOps
$ npx skills add raga-ai-hub/RagaAI-Catalyst#16
The platform for LLM evaluations and AI agent testing
3.3K starsJun 12, 2026 pushdevelopmentTypeScriptLLMOps
$ npx skills add langwatch/langwatchHow to choose
When should you switch?
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 BentoML if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.