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DeepEval vs ml-intern
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | LLM evaluation framework with 14+ built-in metrics. `#opensource` `#free` | An open-source, autonomous AI agent by Hugging Face designed to function as a specialized Machine Learning Engineer. It handles the end-to-end ML lifecycle, including researching papers, writing code, running experiments, and shipping models to the Hugging Face Hub. Intro | |
| Category | |||
| Developer | Confident AI Inc. | — | |
| Verified Status | No | No | |
| Last Updated | Aug 2026 | Aug 2026 | |
| Pricing | |||
| Pricing Model | Open Source | Free | |
| Free Plan | Yes | Yes | |
| Free Trial | No | — | |
| Open Source | Yes | No | |
| Capabilities | |||
| API Access | No | — | |
| Features | • 50+ research-backed evaluation metrics • LLM-as-a-judge scoring with explainable reasoning • Pytest-native, runs in CI/CD • Synthetic test-case generation from knowledge bases • Multi-modal support (text, images, audio) • Free and open source (Apache 2.0) | — | |
| Tags | deepevalevaluationframeworkbuiltmetricsopensource | huggingfaceinternopensourceautonomous | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 9 | 44 | |
| Quality Score | 33/100 | 62/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | deepeval.com | github.com | |
| Social Links | 2 linked | 1 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use | • Free to use | |
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