Repository Analysis

mingrammer/diagrams

19.2 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of mingrammer/diagrams. SynthScan v2.0 examined 37,889 lines of code across 312 source files, recording 253 pattern matches distributed across 5 syntactic categories. The overall adjusted score of 19.2 places this repository in the Moderate 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).

19.2
Adjusted Score
19.2
Raw Score
100%
Time Factor
Last Push
Stars
Language
37.9K
Lines of Code
312
Files
253
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 237LOW 16

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 253 distinct pattern matches across 5 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.

Self-Referential Comments235 hits · 705 pts
SeverityFileLineSnippetContext
MEDIUMdiagrams/openstack/containerservices.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/user.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/billing.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/sharedservices.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/deployment.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/workloadprovisioning.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/monitoring.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/lifecyclemanagement.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/baremetal.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/optimization.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/frontend.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/orchestration.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/operations.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/nfv.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/networking.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/packaging.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/storage.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/adjacentenablers.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/apiproxies.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/applicationlifecycle.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/multiregion.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/openstack/compute.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/outscale/security.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/outscale/storage.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/outscale/network.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/outscale/compute.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/elasticsearch.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/security.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/saas.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/observability.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/orchestration.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/beats.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/agent.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/elastic/enterprisesearch.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/intune.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/databases.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/web.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/monitor.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/containers.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/database.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/managementgovernance.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/security.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/mobile.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/other.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/hybridmulticloud.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/appservices.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/devops.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/aimachinelearning.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/integration.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/ml.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/menu.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/networking.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/storage.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/network.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/azureecosystem.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/blockchain.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/newicons.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/analytics.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/mixedreality.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
MEDIUMdiagrams/azure/migration.py1# This module is automatically generated by autogen.sh. DO NOT EDIT.COMMENT
175 more matches not shown…
Hyper-Verbose Identifiers14 hits · 13 pts
SeverityFileLineSnippetContext
LOWtests/test_diagram.py246 def test_nodes_to_node_with_additional_attributes(self):CODE
LOWtests/test_diagram.py260 def test_node_to_node_with_attributes(self):CODE
LOWtests/test_diagram.py281 def test_node_to_node_with_additional_attributes(self):CODE
LOWtests/test_diagram.py305 def test_nodes_to_node_with_attributes_loop(self):CODE
LOWtests/test_diagram.py330 def test_nodes_to_node_with_attributes_bothdirectional(self):CODE
LOWtests/test_diagram.py341 def test_nodes_to_node_with_attributes_bidirectional(self):CODE
LOWtests/test_diagram.py352 def test_nodes_to_node_with_attributes_onedirectional(self):CODE
LOWtests/test_diagram.py368 def test_nodes_to_node_with_additional_attributes_directional(self):CODE
LOWtests/test_diagram.py407 def test_resources_exist_and_render(self):CODE
LOWtests/test_c4.py60 def test_edge_without_constraint(self):CODE
LOWtests/test_cli.py52 def test_run_with_multiple_files(self):STRING
LOWtests/test_cli.py78 def test_run_with_no_arguments(self):STRING
LOWtests/test_cli.py85 def test_run_with_nonexistent_file(self):STRING
LOWtests/test_cli.py90 def test_run_with_invalid_python_code(self):STRING
Modern AI Meta-Vocabulary2 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMdocs/nodes/elastic.md131## elastic.orchestrationCOMMENT
MEDIUMdocs/nodes/openstack.md137## openstack.orchestrationCOMMENT
AI Structural Patterns1 hit · 1 pts
SeverityFileLineSnippetContext
LOWdiagrams/__init__.py110CODE
Over-Commented Block1 hit · 1 pts
SeverityFileLineSnippetContext
LOW.devcontainer/devcontainer.json1// For format details, see https://aka.ms/devcontainer.json. For config options, see theCOMMENT