toon 0.0.1 
toon: ^0.0.1 copied to clipboard
j5s9.devA Token-Oriented Object Notation, a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage.
We analyzed this package 24 hours ago, and awarded it 150 pub points (of a possible 160):
10/10 points: Provide a valid pubspec.yaml
Repository URL doesn't exist.
At the time of the analysis http://github.com/j5s9/toon_dart was unreachable. Make sure that the website is reachable via HEAD requests.
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
1 out of 1 API elements (100.0 %) have documentation comments.
10/10 points: Package has an example
20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
-
✓ Android
-
✓ iOS
-
✓ Windows
-
✓ Linux
-
✓ macOS
-
✓ Web
WASM-ready: This package is compatible with runtime wasm. See https://dart.dev/web/wasm for details.
40/50 points: code has no errors, warnings, lints, or formatting issues
INFO: The 'http' protocol shouldn't be used because it isn't secure.
pubspec.yaml:4:13
╷
4 │ repository: http://github.com/j5s9/toon_dart
│ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
╵
To reproduce make sure you are using the lints_core and run dart analyze pubspec.yaml
10/10 points: All of the package dependencies are supported in the latest version
No dependencies.
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.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 0.23.11, Dart 3.11.2.
Check the analysis log for details.
Weekly downloads
Metadata
Documentation
Publisher
Weekly Downloads
Metadata
A Token-Oriented Object Notation, a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage.
License
MIT (license)
