Tech riderRev. 20 Sept 2026
  1. 1Runs onAPI, Linux, self-hosted
  2. 2CostsNot stated by the maker
  3. 3Deployment optionsself-hosted
2 lines stated Written from the maker's own pages: github.com
The EvalPlus homepage

Overview

EvalPlus is ranked #15 of 29 in LLM evaluation tools on Specifiction. It runs on API, Linux, Self-hosted.

Compared on LLM evaluation tools

Deployment options
self-hostedgithub.com

Facts

Purpose
EvalPlus is an evaluation framework for assessing code generated by large language models.github.com · 5 Oct 2026
HumanEval+
HumanEval+ expands the original HumanEval benchmark with 80 times more tests.github.com · 5 Oct 2026
MBPP+
MBPP+ expands the original MBPP benchmark with 35 times more tests.github.com · 5 Oct 2026
Efficiency evaluation
EvalPerf evaluates the efficiency of LLM-generated code using performance-exercising tasks and test inputs.github.com · 5 Oct 2026
Leaderboard
The EvalPlus site provides leaderboards for HumanEval+ and MBPP+ evaluation results.evalplus.github.io · 5 Oct 2026
EvalPerf leaderboard
The EvalPlus site provides a leaderboard for EvalPerf code efficiency results.evalplus.github.io · 5 Oct 2026
RepoQA
The EvalPlus site describes RepoQA as a project to design evaluators for long-context code understanding.evalplus.github.io · 5 Oct 2026
Installation
The README documents installation through pip, including optional vLLM and performance extras.github.com · 5 Oct 2026
Docker
The README documents running code evaluation in Docker.github.com · 5 Oct 2026
Model backends
Documented backends include Hugging Face Transformers, vLLM, OpenAI-compatible servers, OpenAI, Anthropic, Google, Amazon Bedrock, Ollama, and Intel Gaudi.github.com · 5 Oct 2026
Security
The README describes Docker-based code execution as safe code execution.github.com · 5 Oct 2026
Platform limit
The README labels EvalPerf code efficiency evaluation as *nix only.github.com · 5 Oct 2026
License
The repository is distributed under the Apache License, Version 2.0; the license notes that files under evalplus/eval additionally comply with the MIT License.github.com · 5 Oct 2026
Intended audience
The project is intended for evaluating LLM performance on code-related tasks.evalplus.github.io · 5 Oct 2026

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