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ml_anomaly_detector

v0.1.0 · released 1 year ago · MIT License

First published 1 year ago.

A lightweight and extensible Dart library for anomaly detection in univariate and multivariate data. Includes Z-Score and LOF algorithms.

View on pub.dev View source
#119 in Ai Ml #5985 overall no release in 1 year androidioswindowslinuxmacosweb
Downloads / day
38
as of 2026-06-12
GitHub stars
0
★ refreshed weekly
Likes
0
on pub.dev
Pub points
145 / 160

Repository health

Last commit
1 year ago
Commit activity
Open issues
0
Open PRs
0
Contributors
1
CI
None detected
License (repo)

Last refreshed 7 days ago.

License explained · MIT

MIT License

Use freely, even commercially. Just keep the copyright notice.

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.

You can

  • Commercial use
  • Distribution
  • Modification
  • Private use

You must

  • Include the license and copyright notice

The license does not

  • No liability
  • No warranty

Plain-English summary, not legal advice. Full text on SPDX or choosealicense.com. Summaries adapted from choosealicense.com (a GitHub project, MIT-licensed).

Commit activity, past 52 weeks

ml_anomaly_detector

0 commits in the past year
Stable
1 1 0 52w ago36w ago18w agothis week
Weekly average
0.0 commits
Busiest week
0 commits, this week
Active weeks
0 of 52 (0%)
Longest quiet stretch
52 weeks with no commits

Weekly commits to the default branch on GitHub. Source: GET /stats/participation. Refreshed weekly. Excludes commits to other branches.

How ml_anomaly_detector compares in Ai Ml

Top of the Ai Ml leaderboard, with ml_anomaly_detector highlighted.

Rank Package Downloads / day Stars Likes
#1
google_mlkit_commons
flutter-ml.dev
14.9K ★ 1.3K 37
#2
google_mlkit_text_recognition
flutter-ml.dev
8.6K ★ 1.3K 406
#3
mcp_dart
🇨🇦 leehack.com
7.7K ★ 113 75
#4
marionette_flutter
🇨🇴 leancode.co
5.2K ★ 375 56
#119
ml_anomaly_detector
 38 ★ 0 0