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Title: GitHub - MigoXLab/dingo: Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool · GitHub

Open Graph Title: GitHub - MigoXLab/dingo: Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

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Description: Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool - MigoXLab/dingo

Open Graph Description: Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool - MigoXLab/dingo

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Opengraph URL: https://github.com/MigoXLab/dingo

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Apache-2.0 licensehttps://github.com/MigoXLab/Dingo
https://github.com/MigoXLab/dingo/blob/main/docs/assets/dingo-logo.png
https://github.com/pre-commit/pre-commit
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https://archestra.ai/mcp-catalog/dataeval__dingo
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Englishhttps://github.com/MigoXLab/dingo/blob/main/README.md
简体中文https://github.com/MigoXLab/dingo/blob/main/README_zh-CN.md
日本語https://github.com/MigoXLab/dingo/blob/main/README_ja.md
Discordhttps://discord.gg/Jhgb2eKWh8
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https://github.com/MigoXLab/dingo/stargazers
https://github.com/MigoXLab/Dingo#introduction
https://github.com/MigoXLab/Dingo#-enterprise-dingo-saas-version
Dingo SaaShttps://dingo.openxlab.org.cn
https://github.com/MigoXLab/Dingo#-compared-to-the-open-source-version-saas-provides
https://github.com/MigoXLab/dingo/blob/main/docs/assets/saas_dashboard.png
https://github.com/MigoXLab/dingo/blob/main/docs/assets/saas_playground.png
https://github.com/MigoXLab/dingo/blob/main/docs/assets/saas_output.png
https://github.com/MigoXLab/Dingo#-how-to-get-free-saas-code
Apply for Dingo SaaS Repository Accesshttps://aicarrier.feishu.cn/share/base/form/shrcnr19E0upfiA92Wm5i2eic7g
https://github.com/MigoXLab/Dingo#why-dingo
https://github.com/MigoXLab/Dingo#architecture-diagram
https://github.com/MigoXLab/dingo/blob/main/docs/assets/architeture.png
https://github.com/MigoXLab/Dingo#quick-start
https://github.com/MigoXLab/Dingo#installation
https://github.com/MigoXLab/Dingo#example-use-cases-of-dingo
https://github.com/MigoXLab/Dingo#1-evaluate-llm-chat-data
https://github.com/MigoXLab/Dingo#2-evaluate-dataset
https://github.com/MigoXLab/Dingo#command-line-interface
https://github.com/MigoXLab/Dingo#evaluate-with-rule-sets
https://github.com/MigoXLab/Dingo#evaluate-with-llm-eg-gpt-4o
https://github.com/MigoXLab/Dingo#mcp-server
Englishhttps://github.com/MigoXLab/dingo/blob/main/README_mcp.md
简体中文https://github.com/MigoXLab/dingo/blob/main/README_mcp_zh-CN.md
日本語https://github.com/MigoXLab/dingo/blob/main/README_mcp_ja.md
https://github.com/MigoXLab/Dingo#video-demonstration
https://github.com/MigoXLab/Dingo#-data-quality-metrics
https://github.com/MigoXLab/Dingo#metric-categories
View Complete Metrics Documentation →https://github.com/MigoXLab/dingo/blob/main/docs/metrics.md
RAG Evaluation Guide →https://github.com/MigoXLab/dingo/blob/main/docs/rag_evaluation_metrics.md
中文版https://github.com/MigoXLab/dingo/blob/main/docs/rag_evaluation_metrics_zh.md
Hallucination Detection Guide →https://github.com/MigoXLab/dingo/blob/main/docs/hallucination_detection_guide.md
中文版https://github.com/MigoXLab/dingo/blob/main/docs/hallucination_guide.md
Factuality Assessment Guide →https://github.com/MigoXLab/dingo/blob/main/docs/factuality_assessment_guide.md
中文版https://github.com/MigoXLab/dingo/blob/main/docs/factcheck_guide.md
VLM Render Judge Guide →https://github.com/MigoXLab/dingo/blob/main/docs/en/vlm_render_judge_guide.md
中文版https://github.com/MigoXLab/dingo/blob/main/docs/vlm_render_judge_guide.md
https://github.com/MigoXLab/Dingo#quick-metric-usage
https://github.com/MigoXLab/Dingo#-key-concepts-for-practitioners
https://github.com/MigoXLab/Dingo#what-makes-dingo-production-ready
https://github.com/MigoXLab/Dingo#1-multi-field-evaluation-pipeline
https://github.com/MigoXLab/Dingo#2-stream-processing-for-large-datasets
https://github.com/MigoXLab/Dingo#3-field-isolation-in-memory
https://github.com/MigoXLab/Dingo#4-hybrid-rule-llm-strategy
https://github.com/MigoXLab/Dingo#5-extensibility-through-registration
https://github.com/MigoXLab/Dingo#-feature-highlights
https://github.com/MigoXLab/Dingo#-multi-source-data-integration
https://github.com/MigoXLab/Dingo#-rag-system-evaluation
View RAG Evaluation Guide →https://github.com/MigoXLab/dingo/blob/main/docs/rag_evaluation_metrics_zh.md
https://github.com/MigoXLab/Dingo#-hybrid-evaluation-system
https://github.com/MigoXLab/Dingo#-flexible-execution--integration
https://github.com/MigoXLab/Dingo#-rich-reporting--visualization
Dingo SaaShttps://github.com/MigoXLab/dingo-saas
https://github.com/MigoXLab/Dingo#-user-guide
https://github.com/MigoXLab/Dingo#-extensibility
https://github.com/MigoXLab/Dingo#custom-rule-registration
https://github.com/MigoXLab/Dingo#custom-llmprompt-registration
Custom Ruleshttps://github.com/MigoXLab/dingo/blob/main/examples/register/sdk_register_rule.py
Custom Modelshttps://github.com/MigoXLab/dingo/blob/main/examples/register/sdk_register_llm.py
https://github.com/MigoXLab/Dingo#agent-based-evaluation-with-tools
Agent Development Guidehttps://github.com/MigoXLab/dingo/blob/main/docs/agent_development_guide.md
Agent Development Guidehttps://github.com/MigoXLab/dingo/blob/main/docs/agent_development_guide.md
AgentHallucination Examplehttps://github.com/MigoXLab/dingo/blob/main/examples/agent/agent_hallucination_example.py
AgentFactCheck Examplehttps://github.com/MigoXLab/dingo/blob/main/examples/agent/agent_executor_example.py
ArticleFactChecker Examplehttps://github.com/MigoXLab/dingo/blob/main/examples/agent/agent_article_fact_checking_example.py
https://github.com/MigoXLab/Dingo#️-execution-modes
https://github.com/MigoXLab/Dingo#local-executor-development--small-scale
https://github.com/MigoXLab/Dingo#spark-executor-production--large-scale
https://github.com/MigoXLab/Dingo#retrieval-benchmark-executor
https://github.com/MigoXLab/Dingo#evaluation-reports
https://github.com/MigoXLab/Dingo#-roadmap--contributions
https://github.com/MigoXLab/Dingo#future-plans
https://github.com/MigoXLab/Dingo#limitations
https://github.com/MigoXLab/Dingo#acknowledgments
RedPajama-Datahttps://github.com/togethercomputer/RedPajama-Data
mlflowhttps://github.com/mlflow/mlflow
deepevalhttps://github.com/confident-ai/deepeval
ragashttps://github.com/explodinggradients/ragas
https://github.com/MigoXLab/Dingo#contribution
Contribution Guidehttps://github.com/MigoXLab/dingo/blob/main/docs/en/CONTRIBUTING.md
https://github.com/MigoXLab/Dingo#license
Apache 2.0 Open Source Licensehttps://github.com/MigoXLab/dingo/blob/main/LICENSE
https://github.com/MigoXLab/Dingo#citation
dingo.openxlab.org.cn/https://dingo.openxlab.org.cn/
spark https://github.com/topics/spark
data-validation https://github.com/topics/data-validation
datascience https://github.com/topics/datascience
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vlm https://github.com/topics/vlm
common-crawl https://github.com/topics/common-crawl
data-evaluation https://github.com/topics/data-evaluation
dataquality https://github.com/topics/dataquality
hallucination https://github.com/topics/hallucination
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data-quality-assessment https://github.com/topics/data-quality-assessment
llm https://github.com/topics/llm
qwen https://github.com/topics/qwen
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opencompass https://github.com/topics/opencompass
agent-as-a-judge https://github.com/topics/agent-as-a-judge
Readme https://github.com/MigoXLab/Dingo#readme-ov-file
Apache-2.0 license https://github.com/MigoXLab/Dingo#Apache-2.0-1-ov-file
Please reload this pagehttps://github.com/MigoXLab/Dingo
Activityhttps://github.com/MigoXLab/dingo/activity
Custom propertieshttps://github.com/MigoXLab/dingo/custom-properties
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Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FMigoXLab%2Fdingo&report=MigoXLab+%28user%29
Releases 19https://github.com/MigoXLab/dingo/releases
v2.4.0-released Latest May 29, 2026 https://github.com/MigoXLab/dingo/releases/tag/v2.4.0
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Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.