Mehul-Gupta-SMH/PolyQL

View on GitHub by @Mehul-Gupta-SMH

Poly-QL: AI-powered natural language to SQL/Spark/Pandas query engine with schema explorer, join path explorer, and multi-LLM provider support

What's novel

Poly-QL: AI-powered natural language to SQL/Spark/Pandas query engine with schema explorer, join path explorer, and multi-LLM provider support

Code Analysis

1 files read · 5 rounds

An AI-powered data assistant that converts natural language questions into SQL/PySpark code using LLMs with schema-aware retrieval

Strengths

Well-organized architecture separating API management, metadata storage, and prompt engineering; supports multiple LLM providers and output formats; includes authentication and usage tracking

Weaknesses

Limited error handling for LLM failures and malformed responses; minimal test coverage; relies heavily on regex-based SQL validation which is fragile; some components like RAGPipeline appear incomplete or stubbed

Score Breakdown

Innovation

5 (25%)

Craft

61 (35%)

Traction

9 (15%)

Scope

82 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+1

Craft

Ci+5

Tests+8

Polish+1

Releases-2

Has License+0

Code Quality+15

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+0

Scope

Commits+8

Languages+8

Subsystems+13

Bloat Penalty+0

Completeness+6

Contributors+5

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

106

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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