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yzhao062
anomaly-detection-resources
Python2019–2020
yzhao062 / anomaly-detection-resources

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

AI & Machine LearningLearning & ReferenceData & DatabasesSystems & InfrastructureNetworking
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
9.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2019-08-15 03:23:57 UTC to 2020-03-08 16:10:04 UTC. Weeks start Monday, UTC.

012019-08-12 00:00:00 UTC to 2019-08-19 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 122019-08-19 00:00:00 UTC to 2019-08-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-08-26 00:00:00 UTC to 2019-09-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-02 00:00:00 UTC to 2019-09-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-09 00:00:00 UTC to 2019-09-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-16 00:00:00 UTC to 2019-09-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-23 00:00:00 UTC to 2019-09-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-30 00:00:00 UTC to 2019-10-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-07 00:00:00 UTC to 2019-10-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-14 00:00:00 UTC to 2019-10-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-21 00:00:00 UTC to 2019-10-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-28 00:00:00 UTC to 2019-11-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-04 00:00:00 UTC to 2019-11-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-11 00:00:00 UTC to 2019-11-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-18 00:00:00 UTC to 2019-11-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 182019-11-25 00:00:00 UTC to 2019-12-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-02 00:00:00 UTC to 2019-12-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-09 00:00:00 UTC to 2019-12-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-16 00:00:00 UTC to 2019-12-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-23 00:00:00 UTC to 2019-12-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-30 00:00:00 UTC to 2020-01-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-06 00:00:00 UTC to 2020-01-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-13 00:00:00 UTC to 2020-01-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-20 00:00:00 UTC to 2020-01-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-27 00:00:00 UTC to 2020-02-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-02-03 00:00:00 UTC to 2020-02-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-02-10 00:00:00 UTC to 2020-02-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-02-17 00:00:00 UTC to 2020-02-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-02-24 00:00:00 UTC to 2020-03-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-03-02 00:00:00 UTC to 2020-03-09 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 2

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 122019-08-12 00:00:00 UTC2019-08-19 00:00:00 UTC110
Aug 192019-08-19 00:00:00 UTC2019-08-26 00:00:00 UTC000
Aug 262019-08-26 00:00:00 UTC2019-09-02 00:00:00 UTC000
Sep 22019-09-02 00:00:00 UTC2019-09-09 00:00:00 UTC000
Sep 92019-09-09 00:00:00 UTC2019-09-16 00:00:00 UTC000
Sep 162019-09-16 00:00:00 UTC2019-09-23 00:00:00 UTC000
Sep 232019-09-23 00:00:00 UTC2019-09-30 00:00:00 UTC000
Sep 302019-09-30 00:00:00 UTC2019-10-07 00:00:00 UTC000
Oct 72019-10-07 00:00:00 UTC2019-10-14 00:00:00 UTC000
Oct 142019-10-14 00:00:00 UTC2019-10-21 00:00:00 UTC000
Oct 212019-10-21 00:00:00 UTC2019-10-28 00:00:00 UTC000
Oct 282019-10-28 00:00:00 UTC2019-11-04 00:00:00 UTC000
Nov 42019-11-04 00:00:00 UTC2019-11-11 00:00:00 UTC000
Nov 112019-11-11 00:00:00 UTC2019-11-18 00:00:00 UTC000
Nov 182019-11-18 00:00:00 UTC2019-11-25 00:00:00 UTC000
Nov 252019-11-25 00:00:00 UTC2019-12-02 00:00:00 UTC000
Dec 22019-12-02 00:00:00 UTC2019-12-09 00:00:00 UTC000
Dec 92019-12-09 00:00:00 UTC2019-12-16 00:00:00 UTC000
Dec 162019-12-16 00:00:00 UTC2019-12-23 00:00:00 UTC000
Dec 232019-12-23 00:00:00 UTC2019-12-30 00:00:00 UTC000
Dec 302019-12-30 00:00:00 UTC2020-01-06 00:00:00 UTC000
Jan 62020-01-06 00:00:00 UTC2020-01-13 00:00:00 UTC000
Jan 132020-01-13 00:00:00 UTC2020-01-20 00:00:00 UTC000
Jan 202020-01-20 00:00:00 UTC2020-01-27 00:00:00 UTC000
Jan 272020-01-27 00:00:00 UTC2020-02-03 00:00:00 UTC000
Feb 32020-02-03 00:00:00 UTC2020-02-10 00:00:00 UTC000
Feb 102020-02-10 00:00:00 UTC2020-02-17 00:00:00 UTC000
Feb 172020-02-17 00:00:00 UTC2020-02-24 00:00:00 UTC000
Feb 242020-02-24 00:00:00 UTC2020-03-02 00:00:00 UTC000
Mar 22020-03-02 00:00:00 UTC2020-03-09 00:00:00 UTC101

What Hacker News says

2 sources
jacques_chester·Mar 8, 2020
I think some sort of anomaly detection would be useful in your case. There are a bunch of libraries floating about, I remember at least Netflix[1], Yelp and Datadog talking about them. There appears to be a really good links page available too[1]. You can also learn a lot from Forecasting Principles and Practice, which is free online[2] I have previously pitched using a kind of SPC-for-metrics approach, with Nelson rules[3] to help surface metrics which are starting to move out of control. I think it would have the advantage over ML techniques that it's easy to understand. My experience is that alerting thresholds are a very poor mechanism for managing systems. They just ossify past disasters and typically become noise. Alert fatigue renders them meaningless. If they're set by the manufacturer then the incentives are broken, they will fav
Read the rest
our false alerts in order to push legal responsibility onto the operator. [0] https://github.com/Netflix/Surus [1] https://github.com/yzhao062/anomaly-detection-resources [2] https://otexts.com/fpp2/ [3] https://en.wikipedia.org/wiki/Nelson_rules
In Launch HN: Orbiter (YC W20) – Autonomous data monitoring for non-engineers

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