evalplus/evalplus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
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A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
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Latest capture 2026-07-15 03:15
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Scanned 2026-07-15 03:15
pyproject.toml
python ecosystem,
0 dependencies
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
requirements/aigc.txt
python ecosystem,
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requirements/app.txt
python ecosystem,
0 dependencies
requirements/dev.txt
python ecosystem,
0 dependencies
requirements/docs.txt
python ecosystem,
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requirements/framework.txt
python ecosystem,
0 dependencies
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Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
No description.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
https://evalscope.readthedocs.io/en/latest/
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