Alternatives to mlop

Open-source AI observability for agent tracing, LLM-as-a-judge evals, and coding agent cost tracking

Neptune.ai is real-time experiment tracking for frontier AI training teams — now owned by OpenAI

Free open-source AI usage tracking & analytics for developers

Open-source LLM observability and evals for building reliable agents

Open-source tracing, evaluation, and prompt iteration for AI agents — self-host it on your own infrastructure with no per-span bill.

Open-source LLM observability for tracing, evaluating, and optimizing AI agents.

Open-source OpenTelemetry observability for Python LLM apps

Open-source, OpenTelemetry-native agent evaluation and tracing that finds where your agent fails.

Open source platform to debug, evaluate, monitor, and optimize AI agents and ML models.

Open-source AI observability via whylogs and langkit for privacy-preserving logging and LLM monitoring

Open-source workspace to build, evaluate, and deploy AI agents through chat

Open-source framework to replace vibe checks with reproducible, LLM-driven evaluation loops for RAG and agents.

Open-source AI evaluation and observability for LLMs, RAG, agents, and predictive ML models.

Open-source LLM & VLM evaluation platform for standardized benchmarking

Open-source LLM observability and prompt management for AI engineering teams.

Open-source, OpenTelemetry-native LLM observability and AI engineering platform for teams.

Open-source Python library to track real-time carbon footprint of GenAI API calls.

Open-source agent observability that catches failures and helps fix them.

OpenTelemetry-native observability with AI SRE Agent0 for automated production insight.

Track, forecast, and optimize AI spend across OpenAI, Google AI, Azure, and Bedrock.

Weights & Biases tracks ML experiments and traces LLM apps so teams can ship AI models faster

Helicone is an AI gateway and LLM observability platform for routing, debugging, and cost-tracking AI apps across 100+ models.

Silico: mechanistic interpretability platform to understand, debug, and design AI models

LangSmith is an AI agent observability platform for tracing, monitoring, and evaluating LLM apps and long-running agents.

AI observability and evaluation platform that turns offline evals into production guardrails.

AI observability and evals that turn agent traces into git-committed code fixes

Enterprise LLM evaluation, observability, and red teaming in one platform.

Collaborative LLM development platform for prompt management, evaluation, and production monitoring

Fiddler AI is an enterprise AI control plane for agent observability, guardrails, and governance across the agentic lifecycle.

Maxim AI simulates, evaluates, and observes AI agents so teams can ship reliable agents 5x faster.