# DeepEval vs MLflow Tracing (slim)

> DeepEval scores 64.7 (B) to MLflow Tracing's 61.2 (C) for evaluations. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md (~2,700 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.json · canonical https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

DeepEval scores 64.7 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on reliability and maintenance & community. Both do evaluations.

- DeepEval: B 64.7, rank #343 of 950 · https://www.anchorterminal.com/tools/deepeval.min.md
- MLflow Tracing: C 61.2, rank #476 of 950 · https://www.anchorterminal.com/tools/mlflow-tracing.min.md
- DeepEval, good for Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics. Ahead on Security & auth, 47 against 40. Also Free to start without a card; No incidents deducted, where MLflow Tracing loses 6 points for them.
- MLflow Tracing, good for Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion. Ahead on Reliability, 76 against 59; Maintenance & community, 88 against 83. Also Runs on your own machine.

| Category | DeepEval | MLflow Tracing |
| --- | --- | --- |
| Reliability (16%) | 59 | 76 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 78 | 78 |
| Agent ergonomics (13%) | 72 | 72 |
| Security & auth (14%) | 47 | 40 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 83 | 88 |
| Transparency & trust (7%) | 63 | 62 |

| Fact (where they differ) | DeepEval | MLflow Tracing |
| --- | --- | --- |
| Kind | SDK + MCP | HTTP API |
| Vendor | Confident AI, Inc. | MLflow Project (LF Projects, LLC) |
| Transports |  | stdio, HTTP |
| Pricing | Freemium | Free |
| Licence | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms | Apache-2.0 |
| Tools exposed | none | 26 |
| Last release | 2026-10-02 | 2026-10-06 |
| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 28k stars |