epam/statgpt-backend

StatGPT Backend

What's novel

StatGPT Backend

Code Analysis

11 files read · 4 rounds

A production-ready Python application that enables natural language queries over official statistics databases using SDMX standards with hybrid search combining vector, lexical, and LLM-based relevance scoring.

Strengths

Exceptional architectural patterns with clean separation between admin, app, and common layers. Implements sophisticated hybrid search architecture combining multiple retrieval strategies. Production-grade error handling, async-first design, enterprise security (OIDC), and comprehensive testing with real SDMX data.

Weaknesses

Some files are quite large which could benefit from further modularization. Hybrid search logic is intricate and would benefit from more targeted integration tests. A few magic numbers in configuration thresholds should be made configurable.

Score Breakdown

Innovation

7 (25%)

Craft

87 (35%)

Traction

31 (15%)

Scope

91 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+2

Concept Novelty+2

Craft

Ci+5

Tests+8

Polish+3

Releases+4

Has License+5

Code Quality+25

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+5

Has Dependency Mgmt+5

Traction

Forks+6

Stars+20

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+5

Scope

Commits+8

Languages+8

Subsystems+10

Bloat Penalty+0

Completeness+7

Contributors+8

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

524

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

MIT