Best MLflow Alternatives in 2026

Weights & Biases is the standard ML experiment tracking platform used by over a million AI engineers. It covers model training workflows with W&B Models and LLM observability with W&B Weave, now under CoreWeave ownership since May 2025.

Langfuse is an open-source LLM observability and engineering platform used by AI teams to trace, debug, evaluate, and manage prompts in production. MIT-licensed, self-hostable, and trusted by over 63 Fortune 500 companies including Khan Academy.

Databricks Mosaic AI is the AI platform built into the Databricks Lakehouse, combining model training, vector search, RAG, agent orchestration, and governance for enterprises that want full control of their AI stack on proprietary data.

Helicone is an open-source LLM observability platform and AI gateway from YC W23. One URL swap gives teams cost tracking, request logging, semantic caching, and prompt management across OpenAI, Anthropic, and 100+ models. Used by 16,000 organizations before its March 2026 acquisition by Mintlify.

RAGFlow is InfiniFlow's open-source enterprise RAG engine, built around a neural document parser (DeepDoc) that handles complex PDFs, tables, and mixed-layout documents. Self-hostable, Apache 2.0, with 79k+ GitHub stars.

Anyscale is a managed Ray cluster platform built by the UC Berkeley team that created Ray. It handles distributed ML training, batch inference, fine-tuning, and model serving across multi-cloud GPU clusters, with no infrastructure management required.

PostHog is the open-source, all-in-one analytics platform built for engineers. It replaces Mixpanel, Hotjar, LaunchDarkly, and more in a single stack, with a free tier generous enough that over 90% of teams pay nothing.

CoreWeave is a specialized GPU cloud built for enterprise AI training and inference. With 250,000+ GPUs across 32 data centers, InfiniBand-backed clusters, and NVIDIA's latest Blackwell hardware, it powers some of the largest AI labs in the world, including OpenAI, Meta, IBM, and Microsoft.

Milvus is an open-source, cloud-native vector database built for billion-scale similarity search. Backed by Zilliz and used in production by NVIDIA, Salesforce, and eBay. Free to self-host. Zilliz Cloud managed service starts free with paid tiers from $99/month.

Predibase is a managed fine-tuning and inference platform for open-source LLMs, built on LoRAX multi-adapter serving. It lets teams run hundreds of fine-tuned model variants on a single GPU, with VPC deployment for enterprises that can't move training data to shared infrastructure.