ralfbecher/orionbelt-analytics

View on GitHub by @ralfbecher

Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.

What's novel

Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.

Code Analysis

6 files read · 2 rounds

A standard web application with basic CRUD operations and some utility functions

Strengths

Clean code structure with consistent naming conventions and reasonable separation of concerns. The project demonstrates solid foundational practices for a typical web application.

Weaknesses

Lacks comprehensive error handling for edge cases, minimal test coverage, and limited architectural innovation. Some modules could benefit from further decomposition.

Score Breakdown

Innovation

5 (25%)

Craft

67 (35%)

Traction

20 (15%)

Scope

74 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+2

Craft

Ci-1

Tests+8

Polish+1

Releases+3

Has License+5

Code Quality+17

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+6

Stars+6

Hn Points+0

Watchers+3

Early Traction+5

Devto Reactions+0

Community Contribs+0

Scope

Commits+7

Languages+5

Subsystems+10

Bloat Penalty+0

Completeness+7

Contributors+5

Authored Files+15

Readme Code Match+3

Architecture Depth+5

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

Apache-2.0