Example Application Snapshot

Application Overview

Application name: Home Assistant

• Detected application or repository name: Home Assistant.
• Primary detected ecosystems or languages: Python.
• Indexed evidence includes 5200 file(s) and 640 director(ies) (57671680 bytes).
• 2 manifest(s) and 24 dependency record(s) were extracted.
• Container configuration is present in the uploaded evidence.
• CI configuration is present in the uploaded evidence.

Evidence Inventory

Sample evidence inventory for this curated example. File contents and configuration values are not shown.

The upload contains source files, dependency manifests, container configuration, and CI configuration.

Inventory summary

Indexed files

5200

Directories

640

Total artifacts

5840

Total size

55 MB

Recognized manifests

2

Skipped artifacts

0

Failed artifacts

0

Source archives

1

Languages and ecosystems

• Python: 4500

Artifact categories

• Source: 4600
• Dependency Manifest: 1
• Container: 2
• CI: 8

Top file types

• .py: 4500
• .yaml: 200
• .md: 60

Top-level structure

Top-level directories

• homeassistant/
• tests/
• script/

Files at archive root

• pyproject.toml
• Dockerfile
• README.md

Technologies

Technologies are listed only when supported by uploaded evidence. Confidence describes evidence support, not technology quality. Versions are never inferred.

Architecture Observations

Observations are limited to deterministic rules over uploaded evidence. They are not quality judgments, recommendations, or modernization advice.

• Python project manifest present Explicit High

  A pyproject.toml manifest is present in the uploaded evidence.

  Evidence

  • Source artifact: homeassistant.zip/pyproject.toml

  OBS_PYPROJECT · rule 1.1.0 · homeassistant.zip/pyproject.toml · generator 1.4.0

• Dockerfile present Explicit High

  A Dockerfile is present in the uploaded evidence.

  Evidence

  • Source artifact: homeassistant.zip/Dockerfile

  OBS_DOCKERFILE_PRESENT · rule 1.1.0 · homeassistant.zip/Dockerfile · generator 1.4.0

Confidence

Confidence describes evidence coverage for this Application Snapshot. It does not describe software quality, architecture quality, maintainability, or security.

Overall confidence: High

Python manifests, container, and CI configuration were found.

Evaluated dimensions

• Evidence completeness High

  Indexed evidence was processed without skips or errors.

• Technology identification High

  Technologies were identified directly from declared manifests.

• Architecture observation support High

  Architecture observations are supported by explicit manifest evidence.

• Manifest coverage High

  Required dependency manifests and additional supporting manifests were found.

How confidence is assigned

• Confidence reflects evidence coverage for this Application Snapshot, not software quality.

Gaps

Gaps describe missing or incomplete evidence. They are not defects, missing features, or recommendations.

• Package manager ambiguous Low

  More than one Python packaging signal may be present; package manager identity is partially determined.

  Evidence type: Manifest

  Evidence

  • Fact: packaging_signals=pyproject

Free Scan Limitations

• This Application Snapshot is automated.
• This example is a curated sample analysis for demonstration only.
• Analysis is limited to supported artifact formats and deterministic extractors.
• This Application Snapshot is unreviewed by a human.
• This is not an Application Intelligence Brief.
• This is not a security audit.
• This is not a complete architecture assessment.