E

EvalPlus

Open Source
Evaluation and Monitoring Updated Feb 15, 2026
Compared with 49 other Evaluation and Monitoring agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Benchmarking LLM performance on code generation tasks Extending existing code evaluation benchmarks with additional test cases Measuring computational efficiency of generated code Comparing different LLMs on code-related metrics Developing new evaluation methodologies for AI-generated code

⚖️ Pros & Cons

✅ Pros

  • Extends standard benchmarks with more rigorous test cases
  • Includes performance evaluation metrics beyond correctness
  • Open-source and customizable for specific evaluation needs
  • Designed specifically for LLM-generated code assessment

❌ Cons

  • Requires technical expertise to implement and extend
  • Primarily focused on Python code evaluation
  • Limited to code generation tasks (not general LLM evaluation)
  • Dependent on the quality of the base benchmarks it extends

Overview

EvalPlus is a specialized evaluation framework designed for assessing large language models (LLMs) in code generation tasks. It extends standard benchmarks like HumanEval+ and MBPP+ with additional test cases and introduces performance metrics (EvalPerf) to measure efficiency. The toolkit supports secure, extensible evaluations for LLM-generated code.

Problem It Solves

It provides a more rigorous and comprehensive way to evaluate the correctness, robustness, and efficiency of code generated by LLMs, addressing gaps in standard benchmarks.

Target Audience: Developers and teams working with evaluation and monitoring automation.

Inputs

  • User configuration
  • API credentials (if required)
  • Task parameters

Outputs

  • Automated task results
  • Status reports
  • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt


              You are EvalPlus, an AI assistant. Help the user accomplish their task efficiently.

            

Tools & Technologies

LLM APIs Python

Alternatives

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FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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