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A simple library for working with the normal probability distribution. Includes methods for Gaussian density, cumulative probability, quantiles and random number generation.

10
likes
130/ 140
pub points
79%
popularity

We analyzed this package 12 hours ago, and awarded it 130 pub points (of a possible 140):

OK
Follow Dart file conventions
30 / 30trigger folding of the section

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.

OK
Provide documentation
20 / 20trigger folding of the section

10/10 points: 20% or more of the public API has dartdoc comments

8 out of 10 API elements (80.0 %) have documentation comments.

Some symbols that are missing documentation: normal.Normal, normal.Normal.Normal.

10/10 points: Package has an example

OK
Platform support
20 / 20trigger folding of the section

20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android
  • ✓ iOS
  • ✓ Windows
  • ✓ Linux
  • ✓ macOS
  • ✓ Web
partial
Pass static analysis
40 / 50trigger folding of the section

40/50 points: code has no errors, warnings, lints, or formatting issues

INFO: Dangling library doc comment.

lib/normal.dart:1:1

  ╷
1 │ /// Support for working with the normal probability distribution.
  │ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ╵

To reproduce make sure you are using the lints_core and run dart analyze lib/normal.dart

OK
Support up-to-date dependencies
20 / 20trigger folding of the section

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To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.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

Analyzed with Pana 0.22.3, Dart 3.3.3.

Check the analysis log for details.

10
likes
130
pub points
79%
popularity

Publisher

unverified uploader

A simple library for working with the normal probability distribution. Includes methods for Gaussian density, cumulative probability, quantiles and random number generation.

Repository (GitHub)
View/report issues

Documentation

API reference

License

MIT (LICENSE)

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