sate_ai 0.3.0 
sate_ai: ^0.3.0 copied to clipboard
A fault injection framework for testing on-device AI models in Flutter. Simulate memory pressure, malformed inputs, and degradation to catch failures before deployment.
We analyzed this package 9 hours ago, and awarded it 160 pub points (of a possible 160):
10/10 points: Provide a valid pubspec.yaml
5/5 points: Provide a valid README.md
5/5 points: Provide a valid CHANGELOG.md
10/10 points: Use an OSI-approved license
Detected license: MIT.
10/10 points: 20% or more of the public API has dartdoc comments
159 out of 161 API elements (98.8 %) have documentation comments.
Some symbols that are missing documentation: sate_ai.AIModelAdapter.AIModelAdapter.new, sate_ai.FaultInjector.FaultInjector.new.
10/10 points: Package has an example
20/20 points: Supports 5 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
-
✓ Android
-
✓ iOS
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✓ Windows
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✓ Linux
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✓ macOS
These platforms are not supported:
Package does not support platform `Web`.
Because:
package:sate_ai/sate_ai.dartthat imports:package:sate_ai/src/adapters/onnx_adapter.dartthat imports:package:onnxruntime/onnxruntime.dartthat declares support for platforms:Android,iOS,Windows,Linux,macOS.
50/50 points: code has no errors, warnings, lints, or formatting issues
10/10 points: All of the package dependencies are supported in the latest version
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
onnxruntime |
^1.4.1 |
1.4.1 | 1.4.1 |
Transitive dependencies
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
characters |
- | 1.4.1 | 1.4.1 | |
collection |
- | 1.19.1 | 1.19.1 | |
ffi |
- | 2.2.0 | 2.2.0 | |
material_color_utilities |
- | 0.13.0 | 0.13.0 | |
meta |
- | 1.18.0 | 1.19.0 | |
vector_math |
- | 2.2.0 | 2.4.1 |
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.
10/10 points: Package supports latest stable Dart and Flutter SDKs
20/20 points: Compatible with dependency constraint lower bounds
pub downgrade does not expose any static analysis error.
Analyzed with Pana 0.23.14, Flutter 3.44.5, Dart 3.12.2.
Check the analysis log for details.
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Metadata
A fault injection framework for testing on-device AI models in Flutter. Simulate memory pressure, malformed inputs, and degradation to catch failures before deployment.
Repository (GitHub)
View/report issues
Contributing
Topics
#testing #ai #on-device #llm #fault-injection
License
MIT (license)