# DeepEval vs EvalGate: what should Python teams use?

DeepEval suits Python teams seeking pytest-native LLM evaluations and a broad library of quality metrics. EvalGate is an option for local behavior gates used across TypeScript and Python, with approved baseline lineage and optional hosted review.

## Choose DeepEval when
Python-first, metric-oriented LLM testing using pytest.

## Choose EvalGate when
Reviewed cross-language application behavior and CI regression gates.

## Differentiation
- EvalGate: One regression-gate workflow across Python and TypeScript.
- DeepEval: Python-native testing patterns and extensive metric support.

## Pricing
DeepEval is available as an open-source framework; hosted Confident AI is a separate offering.
EvalGate pricing: https://www.evalgate.com/pricing

## Limitations
Do not assume full parity with DeepEval's Python metric catalog.

## Migration
Retain pytest and DeepEval tests. Translate a few critical behavioral cases into EvalGate, verify the results and add a CI gate only after real execution.

## Verified example
https://github.com/evalgate/refund-agent-demo

## Official competitor documentation
https://deepeval.com/

Last substantive review: October 14, 2026.