eneural_net 1.2.0 
eneural_net: ^1.2.0 copied to clipboard
AI Library to create efficient Artificial Neural Networks. Computation uses SIMD (Single Instruction Multiple Data) to improve performance.
We analyzed this package 7 days ago, and awarded it 130 pub points (of a possible 140):
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: Apache-2.0.
10/10 points: 20% or more of the public API has dartdoc comments
443 out of 823 API elements (53.8 %) have documentation comments.
Some symbols that are missing documentation: eneural_net.ANN.allLayers, eneural_net.ANN.allWeights, eneural_net.ANN.allWeightsHashcode, eneural_net.ANN.computeSamplesActivations, eneural_net.ANN.fromJson.
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
50/50 points: code has no errors, warnings, lints, or formatting issues
0/10 points: All of the package dependencies are supported in the latest version
| Package | Constraint | Compatible | Latest |
|---|---|---|---|
collection |
^1.17.2 |
1.18.0 | 1.18.0 |
intl |
^0.18.1 |
0.18.1 | 0.19.0 |
swiss_knife |
^3.1.5 |
3.1.6 | 3.2.0 |
Transitive dependencies
| Package | Constraint | Compatible | Latest |
|---|---|---|---|
clock |
- | 1.1.1 | 1.1.1 |
meta |
- | 1.14.0 | 1.14.0 |
path |
- | 1.9.0 | 1.9.0 |
resource_portable |
- | 3.1.0 | 3.1.0 |
typed_data |
- | 1.3.2 | 1.3.2 |
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.
The constraint `^0.18.1` on intl does not support the stable version `0.19.0`.
Try running dart pub upgrade --major-versions intl to update the constraint.
10/10 points: Package supports latest stable Dart and Flutter SDKs
Analyzed with Pana 0.22.2, Dart 3.3.3.
Check the analysis log for details.
Metadata
Publisher
unverified uploader
Metadata
AI Library to create efficient Artificial Neural Networks. Computation uses SIMD (Single Instruction Multiple Data) to improve performance.
Documentation
License
Apache-2.0 (LICENSE)
