Free
Pricing
Open source core, 100% free
Report
Should I Use MLflow AI Platform?
The largest open source AI engineering platform for agents, LLMs, and ML models. Debug, evaluate, monitor, and optimize your AI applications. Built for teams of all sizes.
Depends
DependsBuy if you have engineers to self-host, integrate, and patch security issues within days — the free core is deep and vendor-neutral.
Deep, free, open-source AI engineering platform — but self-hosted ops and an actively-exploited CVE mean DIY teams only.
Confidence: Medium
#3
Category rank
AI/ML Infrastructure & LLM Tools (devtune)
1,000s
Adoption
organizations, per devtune dossier
1 critical
Security incidents
CVE-2026-64849 SSRF, on CISA KEV
Value for money
5
Core is open source and 100% free
Feature depth
5
Tracing, evals, gateway, registries, monitoring in one
Security posture
1
Actively exploited critical SSRF CVE, CISA KEV
Pros
Cons
Gotchas
- highCVE-2026-64849 SSRF is actively exploited and on CISA KEV — patch before internet exposure⁹
- mediumOpen source means free, not managed: hosting, scaling, and upgrades are your problem²
- mediumNo dedicated security page found on the site; security communication is thin⁸
- lowToken costs can spiral — the AI Gateway's cost controls exist because of it⁴
Best for
- Teams shipping LLM apps and agents
- ML teams needing tracking, evals, registry
- Cost-conscious teams okay self-hosting
- LangChain / LlamaIndex stacks
Not for
- Teams wanting zero-ops, hosted observability
- Orgs that can't patch self-hosted servers fast
- Non-technical teams without engineers
- Buyers needing vendor SLAs and dedicated support
Pricing
Open source
Free
- Tracing, evaluation, monitoring, registries
- Self-hosted; no vendor support included
Security
Active threat: critical SSRF flaw CVE-2026-64849 under exploitation and added to CISA's KEV catalog; patch self-hosted deployments immediately.
- CVE-2026-64849 — critical SSRF, actively exploitedUnauthenticated SSRF can let attackers reach internal systems and cloud environments; CISA added it to the KEV catalog.⁹
What users say
User feedback in the sources is sparse; one Reddit thread shows buyers weighing MLflow against Langfuse for agent observability.
“I'm trying to pick an observability stack for an a…”
Alternatives
Compare MLflow AI Platform with each alternative.
Langfuse
Focused open-source LLM observability; the tool Reddit buyers compare it against.
LangSmith
Managed evals and tracing for LangChain teams; zero ops.
MLflow AI Platform vs LangSmithDatabricks managed MLflow
Same platform, hosted and supported — avoids self-run infrastructure.
MLflow AI Platform vs Databricks managed MLflowWeights & Biases
Polished experiment tracking for classic ML teams.
MLflow AI Platform vs Weights & BiasesFull analysis
Based on 20+ public sources; user-review evidence is thin (one Reddit thread) and no review-site ratings were found.
Sources
official
- LLM Tracing and Agent Observabilitymlflow.orgofficial
- Agent & LLM Engineeringmlflow.orgofficial
- AI Gateway for LLMs & Agentsmlflow.orgofficial
- Token Usage and Cost Trackingmlflow.orgofficial
- Security page (scrape)mlflow.orgofficial
- Attackers Exploit Critical Flaw in MLflowhackread.comsecurity
security
- Weekly Threat Intelligence Report: Late August 2026securityonline.infosecurity
- MLFlow vs. Langfuse for observability?reddit.comreview
review
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