# DeepEval vs Pydantic Logfire (slim)

> Pydantic Logfire and DeepEval score within a point of each other for evaluations, 64.9 and 64.7 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.md (~2,750 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.json · canonical https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Pydantic Logfire and DeepEval score within a point of each other on agent readiness, 64.9 (B) and 64.7 (B). DeepEval leads on reliability and payments & pricing. Both do evaluations.

- DeepEval: B 64.7, rank #343 of 950 · https://www.anchorterminal.com/tools/deepeval.min.md
- Pydantic Logfire: B 64.9, rank #335 of 950 · https://www.anchorterminal.com/tools/pydantic-logfire.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 Reliability, 59 against 34; Payments & pricing, 60 against 40. Also Open source.
- Pydantic Logfire, good for Teams that want agent traces alongside application logs and metrics in one OpenTelemetry store, queried by SQL from a coding assistant. Ahead on Security & auth, 80 against 47; Maintenance & community, 90 against 83; Transparency & trust, 73 against 63. Also A hosted endpoint, with nothing to install.

| Category | DeepEval | Pydantic Logfire |
| --- | --- | --- |
| Reliability (16%) | 59 | 34 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 78 | 81 |
| Agent ergonomics (13%) | 72 | 72 |
| Security & auth (14%) | 47 | 80 |
| Payments & pricing (10%) | 60 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 83 | 90 |
| Transparency & trust (7%) | 63 | 73 |

| Fact (where they differ) | DeepEval | Pydantic Logfire |
| --- | --- | --- |
| Kind | SDK + MCP | HTTP API |
| Vendor | Confident AI, Inc. | Pydantic Services Inc. |
| Hosted endpoint | no (local only) | `https://logfire-us.pydantic.dev/mcp` |
| Transports |  | HTTP, Streamable HTTP |
| 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 | Proprietary hosted service under the Logfire Terms of Service. The Python, JavaScript and Rust SDKs and the Helm chart are open source, the Python SDK under MIT |
| Tools exposed | none | 51 |
| Last release | 2026-10-02 | 2026-10-07 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | 2024-02-21 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 4.5k stars, 24k npm/wk, 3.4M PyPI/wk |