Repository Analysis

LibreTranslate/LibreTranslate

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

9.6 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of LibreTranslate/LibreTranslate, a Python project with 15,433 GitHub stars. SynthScan v2.0 examined 5,810 lines of code across 126 source files, recording 51 pattern matches distributed across 8 syntactic categories. The overall adjusted score of 9.6 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

9.6
Adjusted Score
9.6
Raw Score
100%
Time Factor
2026-07-13
Last Push
15.4K
Stars
Python
Language
5.8K
Lines of Code
126
Files
51
Pattern Hits
2026-07-14
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 0MEDIUM 4LOW 47

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 51 distinct pattern matches across 8 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Excessive Try-Catch Wrapping15 hits · 19 pts
SeverityFileLineSnippetContext
LOWlibretranslate/suggestions.py16 except Exception as e:CODE
LOWlibretranslate/cache.py35 except Exception as e:CODE
LOWlibretranslate/cache.py47 except Exception as e:CODE
MEDIUMlibretranslate/cache.py40def cache(self, cache_key, content):CODE
LOWlibretranslate/language.py88 except Exception as e:CODE
LOWlibretranslate/locales.py26 except Exception as e:CODE
LOWlibretranslate/app.py65 except Exception:CODE
LOWlibretranslate/app.py877 except Exception as e:CODE
LOWlibretranslate/app.py1026 except Exception as e:CODE
MEDIUMlibretranslate/app.py55def get_version():CODE
LOWlibretranslate/api_keys.py20 except Exception as e:CODE
LOWlibretranslate/api_keys.py100 except Exception as e:CODE
LOWlibretranslate/init.py14 except Exception as e:CODE
MEDIUMlibretranslate/init.py8def boot(load_only=None, update_models=False, install_models=False):CODE
MEDIUMscripts/update_locales.py25 print("Error: English model not found. You need it to run this script.")CODE
Deep Nesting13 hits · 13 pts
SeverityFileLineSnippetContext
LOWlibretranslate/secret.py25CODE
LOWlibretranslate/language.py70CODE
LOWlibretranslate/language.py128CODE
LOWlibretranslate/locales.py11CODE
LOWlibretranslate/locales.py77CODE
LOWlibretranslate/app.py124CODE
LOWlibretranslate/app.py186CODE
LOWlibretranslate/app.py333CODE
LOWlibretranslate/app.py577CODE
LOWlibretranslate/app.py335CODE
LOWlibretranslate/manage.py8CODE
LOWlibretranslate/init.py18CODE
LOWscripts/gunicorn_conf.py10CODE
Hyper-Verbose Identifiers12 hits · 12 pts
SeverityFileLineSnippetContext
LOWlibretranslate/language.py50def get_language_with_fallback(lang_code, languages):CODE
LOWlibretranslate/language.py128def improve_translation_formatting(source, translation, improve_punctuation=True, remove_single_word_duplicates=True):CODE
LOWlibretranslate/locales.py39def get_available_locale_codes(only_reviewed=True):CODE
LOWlibretranslate/locales.py43def get_alternate_locale_links():CODE
LOWlibretranslate/tests/test_api/test_api_translate.py35def test_api_translate_unsupported_language(client):CODE
LOWlibretranslate/tests/test_api/test_api_translate.py50def test_api_translate_missing_parameter(client):CODE
LOW…translate/tests/test_api/test_api_frontend_settings.py1def test_api_get_frontend_settings(client):CODE
LOWlibretranslate/tests/test_api/test_api_health.py8def test_api_health_must_fail_bad_request_type(client):CODE
LOWlibretranslate/tests/test_api/test_api_get_languages.py13def test_api_get_languages_must_fail_bad_request_type(client):CODE
LOWlibretranslate/tests/test_api/test_api_spec.py7def test_api_get_spec_must_fail_bad_request_type(client):CODE
LOW…retranslate/tests/test_api/test_api_detect_language.py15def test_api_detect_language_must_fail_without_parameters(client):CODE
LOW…retranslate/tests/test_api/test_api_detect_language.py23def test_api_detect_language_must_fail_bad_request_type(client):CODE
Unused Imports5 hits · 5 pts
SeverityFileLineSnippetContext
LOWlibretranslate/__init__.py1CODE
LOWlibretranslate/__init__.py2CODE
LOWlibretranslate/__init__.py3CODE
LOWlibretranslate/app.py8CODE
LOWlibretranslate/main.py4CODE
Over-Commented Block2 hits · 2 pts
SeverityFileLineSnippetContext
LOWdocker-compose.cuda.yml21 reservations:COMMENT
LOWdocker-compose.yml21 # - LT_API_KEYS=trueCOMMENT
Fake / Example Data2 hits · 2 pts
SeverityFileLineSnippetContext
LOWlibretranslate/static/js/materialize.min.js6var _get=function t(e,i,n){null===e&&(e=Function.prototype);var s=Object.getOwnPropertyDescriptor(e,i);if(void 0===s){vaCODE
LOWlibretranslate/static/js/vue@2.js6!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&defineCODE
AI Slop Vocabulary1 hit · 2 pts
SeverityFileLineSnippetContext
LOWlibretranslate/language.py113 # otherwise just add it to the temporary listCOMMENT
Redundant / Tautological Comments1 hit · 2 pts
SeverityFileLineSnippetContext
LOWscripts/entrypoint.sh51# Set ARGOS_CHUNK_TYPE to MINISBD if not already definedCOMMENT