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SQLite-AI is an extension for SQLite that brings artificial intelligence capabilities directly into the database. It enables developers to run, fine-tune, and serve AI models from within SQLite using [...]

120/ 160
pub points
45
downloads

We analyzed this package 15 hours ago, and awarded it 120 pub points (of a possible 160):

Failed report section
Follow Dart file conventions
10 / 30trigger folding of the section

Failed check 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.

Passed check 5/5 points: Provide a valid README.md

Passed check 5/5 points: Provide a valid CHANGELOG.md

Failed check 0/10 points: Use an OSI-approved license

No license was recognized.

Consider using an OSI-approved license in the LICENSE file to make it more accessible to the community.

Failed report section
Provide documentation
10 / 20trigger folding of the section

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

2 out of 4 API elements (50.0 %) have documentation comments.

Some symbols that are missing documentation: sqlite_ai.SqliteAiExtension, sqlite_ai.sqlite3_ai_init.

Failed check 0/10 points: Package has an example

No example found.

See package layout guidelines on how to add an example.

Passed report section
Platform support
20 / 20trigger folding of the section

Passed check 20/20 points: Supports 5 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android

  • ✓ iOS

  • ✓ Windows

  • ✓ Linux

  • ✓ macOS

These platforms are not supported:

Package not compatible with platform Web

Because:

  • package:sqlite_ai/sqlite_ai.dart that imports:
  • package:sqlite_ai/src/sqlite_ai.dart that imports:
  • package:sqlite3/sqlite3.dart that imports:
  • package:sqlite3/src/ffi/api.dart that imports:
  • package:sqlite3/src/ffi/implementation.dart that imports:
  • package:sqlite3/src/ffi/memory.dart that imports:
  • package:sqlite3/src/ffi/libsqlite3.g.dart that imports:
  • dart:ffi
Partially passed report section
Pass static analysis
40 / 50trigger folding of the section

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

INFO: The variable name 'sqlite3_ai_init' isn't a lowerCamelCase identifier.

lib/src/sqlite_ai.dart:13:14

   ╷
13 │ external int sqlite3_ai_init(
   │              ^^^^^^^^^^^^^^^
   ╵

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

Passed report section
Support up-to-date dependencies
40 / 40trigger folding of the section

Passed check 10/10 points: All of the package dependencies are supported in the latest version

Package Constraint Compatible Latest Notes
code_assets ^1.0.0 1.0.0 1.0.0
hooks ^1.0.0 1.0.1 1.0.1
path ^1.8.0 1.9.1 1.9.1
sqlite3 ^3.0.0 3.1.5 3.1.5
Transitive dependencies
Package Constraint Compatible Latest Notes
async - 2.13.0 2.13.0
collection - 1.19.1 1.19.1
crypto - 3.0.7 3.0.7
ffi - 2.2.0 2.2.0
file - 7.0.1 7.0.1
glob - 2.1.3 2.1.3
logging - 1.3.0 1.3.0
meta - 1.18.1 1.18.1
native_toolchain_c - 0.17.4 0.17.4
pub_semver - 2.2.0 2.2.0
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 - 1.1.1 1.1.1
yaml - 3.1.3 3.1.3

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

Passed check 10/10 points: Package supports latest stable Dart and Flutter SDKs

Passed check 20/20 points: Compatible with dependency constraint lower bounds

pub downgrade does not expose any static analysis error.

Analyzed with Pana 0.23.9, Dart 3.11.0.

Check the analysis log for details.

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120
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45
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Publisher

verified publishersqlite.ai

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SQLite-AI is an extension for SQLite that brings artificial intelligence capabilities directly into the database. It enables developers to run, fine-tune, and serve AI models from within SQLite using simple SQL queries — ideal for on-device and edge applications where low-latency and offline inference are critical.

Repository (GitHub)
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Documentation

API reference

License

unknown (license)

Dependencies

code_assets, hooks, path, sqlite3

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