evalplus vs promptfoo
LLM evaluation tools compared
evalplus evaluates LLM-generated code against expanded HumanEval and MBPP tests, and measures efficiency with EvalPerf. promptfoo evaluates prompts, models, and LLM applications, with a focus on comparisons, security checks, and CI/CD workflows.
evalplus: Rigorously Evaluate LLM-Generated Code
EvalPlus evaluates code generated by language models with expanded correctness tests for HumanEval and MBPP, plus efficiency checks through EvalPerf. It is for researchers and developers comparing models or validating generated code more rigorously.
promptfoo: Evaluate and Red-Team LLM Apps
Promptfoo is a TypeScript CLI and library for evaluating and red-teaming LLM-based apps. Compare prompts and models, scan for vulnerabilities, and run checks in CI/CD, with evaluations performed locally.
| evalplus | promptfoo | |
|---|---|---|
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Stars | 1.8k | 26.4k |
| Forks | 209 | 2.6k |
| Last analyzed | Oct 3, 2026 | Oct 24, 2026 |
Key differences
- evalplus focuses on code-generation correctness and efficiency benchmarks; promptfoo covers prompt and application quality, model comparisons, and vulnerability testing.
- evalplus provides expanded tests for HumanEval and MBPP; promptfoo runs evaluations against configured inputs and outputs.
- evalplus is written in Python and licensed under Apache-2.0; promptfoo is written in TypeScript and licensed under MIT.
- evalplus supports local inference and hosted API backends, with Docker execution for generated code; promptfoo offers local evaluation and integrations with supported providers.
- evalplus is aimed at code-generation researchers and developers; promptfoo also targets prompt engineers, application developers, and AI security and QA teams.
- The supplied figures list evalplus at 1.8k stars and 209 forks, and promptfoo at 25.7k stars and 2.4k forks.
Choose evalplus if you…
- need expanded correctness tests for HumanEval or MBPP code-generation benchmarks.
- want to measure generated-code efficiency alongside correctness with EvalPerf.
- need a command-line workflow for evaluating code from local models or supported API backends.
Choose promptfoo if you…
- need to compare prompts or model outputs using configured evaluation cases.
- want to red-team LLM applications or scan for vulnerabilities.
- need evaluation or security checks in CI/CD, including pull-request code scanning.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.