apiverve_botdetector 1.2.2 
apiverve_botdetector: ^1.2.2 copied to clipboard
apiverve.comBot Detector analyzes user agent strings to identify bots, crawlers, and automated software. It matches against a database of known bots and adds heuristics that catch automated clients not in the dat [...]
We analyzed this package 2 days ago, and awarded it 120 pub points (of a possible 160):
0/10 points: Provide a valid pubspec.yaml
The package description is too long.
Search engines display only the first part of the description. Try to keep the value of the description field in your package's pubspec.yaml file between 60 and 180 characters.
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.
0/10 points: 20% or more of the public API has dartdoc comments
11 out of 61 API elements (18.0 %) have documentation comments.
Providing good documentation for libraries, classes, functions, and other API elements improves code readability and helps developers find and use your API. Document at least 20% of the public API elements.
To highlight public API members missing documentation consider enabling the public_member_api_docs lint.
Some symbols that are missing documentation: apiverve_botdetector.BotdetectorClient.BotdetectorClient.new, apiverve_botdetector.BotdetectorClient.apiKey, apiverve_botdetector.BotdetectorClient.baseUrl, apiverve_botdetector.BotdetectorData.BotdetectorData.fromJson, apiverve_botdetector.BotdetectorData.BotdetectorData.new.
0/10 points: Package has an example
No example found.
See package layout guidelines on how to add an example.
20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
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✓ Android
-
✓ iOS
-
✓ Windows
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✓ Linux
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✓ macOS
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✓ 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: Dangling library doc comment.
lib/src/models.dart:1:1
╷
1 │ /// Response models for the Bot Detector API.
│ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
╵
To reproduce make sure you are using the lints_core and run dart analyze lib/src/models.dart
10/10 points: All of the package dependencies are supported in the latest version
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
http |
^1.1.0 |
1.6.0 | 1.6.0 | |
http_parser |
^4.0.0 |
4.1.2 | 4.1.2 |
Transitive dependencies
| Package | Constraint | Compatible | Latest | Notes |
|---|---|---|---|---|
async |
- | 2.13.1 | 2.13.1 | |
collection |
- | 1.19.1 | 1.19.1 | |
meta |
- | 1.19.0 | 1.19.0 | |
path |
- | 1.9.1 | 1.9.1 | |
source_span |
- | 1.10.2 | 1.10.2 | |
string_scanner |
- | 1.4.1 | 1.4.1 | |
term_glyph |
- | 1.2.2 | 1.2.2 | |
typed_data |
- | 1.4.0 | 1.4.0 | |
web |
- | 1.1.2 | 1.1.2 |
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 0.23.19, Dart 3.13.5.
Check the analysis log for details.
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Metadata
Documentation
Publisher
Weekly Downloads
Metadata
Bot Detector analyzes user agent strings to identify bots, crawlers, and automated software. It matches against a database of known bots and adds heuristics that catch automated clients not in the database, returning the bot's category, reputation and a composite risk score. Useful for security, analytics, and access control.
Homepage
Repository (GitHub)
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Contributing
License
MIT (license)