orionbelt-semantic-layer

by ralforion · MCP Server · ★ 64

About orionbelt-semantic-layer

Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into optimized SQL, semantic context, KPIs, and DQ rules.

agentic-aianalytics-as-codebigquerybusiness-intelligenceclickhousedata-analyticsdatabricksdremioduckdbheadless-bi

Quick Facts

Stars64
Forks8
LanguagePython
CategoryMCP Server
Quality Score52.0310638192928/100
Open Issues3
Last Updated2026-07-06
Created2026-02-10
Platformscli, mcp, python
Est. Tokens~13k

Compatible Skills

These tools work well together with orionbelt-semantic-layer for enhanced workflows:

  • databao-context-engine — semantic(0.54)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
  • orionbelt-semantic-layer — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • sidemantic — semantic(0.53)+rare_topics+same_lang+similar_pop+shared_platform (63%)

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Frequently Asked Questions

What is orionbelt-semantic-layer?

orionbelt-semantic-layer is Open-source Semantic Sidecar for AI, analytics, and governed data systems. Compiles declarative YAML models into optimized SQL, semantic context, KPIs, and DQ rules.. It is categorized as a MCP Server with 64 GitHub stars.

What programming language is orionbelt-semantic-layer written in?

orionbelt-semantic-layer is primarily written in Python. It covers topics such as agentic-ai, analytics-as-code, bigquery.

How do I install or use orionbelt-semantic-layer?

You can find installation instructions and usage details in the orionbelt-semantic-layer GitHub repository at github.com/ralforion/orionbelt-semantic-layer. The project has 64 stars and 8 forks, indicating an active community.

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