From 59574396bb747971dd014cbb347c87cfe2dff8cb Mon Sep 17 00:00:00 2001 From: Eugene Klimov Date: Tue, 25 Feb 2020 14:22:27 +0500 Subject: [PATCH] add worked skyline fork, add some recipes for Clickhouse and Prometheus (#10) * add worked skyline fork, add some recipes for Clickhouse and Prometheus * Replace Skyline, remove articles I opted to remove the unsupported Skyline altogether, and replace it with the supported fork. As for the articles, for now I'd prefer to keep the repo focused on tools - e.g. software or datasets. If in the future I have a substantial collection of useful articles I might add a section for those as well. Thanks for the PR! * Remove floating char Co-authored-by: Roberto --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a8f4929..78ba843 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ A repository is considered "not maintained" if the latest commit is > 1 year old | [oddstream](https://github.com/pridiltal/oddstream)| R | oddstream (Outlier Detection in Data Streams) provides real time support for early detection of anomalous series within a large collection of streaming time series data. | GPL-3 | :heavy_check_mark: | [PyOdds](https://github.com/datamllab/pyodds)| Python | PyODDS is an end-to end Python system for outlier detection with database support. PyODDS provides outlier detection algorithms, which support both static and time-series data. | MIT | :heavy_check_mark: | [rrcf](https://github.com/kLabUM/rrcf) | Python | Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams. | MIT | :heavy_check_mark: -| Etsy's [Skyline](https://github.com/etsy/skyline) | Python |Skyline is a real-time anomaly detection system, built to enable passive monitoring of hundreds of thousands of metrics. | MIT | ❌ +| EarthGecko [Skyline](https://github.com/earthgecko/skyline) | Python3 | Skyline is a real-time anomaly detection system, built to enable passive monitoring of hundreds of thousands of metrics. | MIT | :heavy_check_mark: | Netflix's [Surus](https://github.com/netflix/surus) | Java |Robust Anomaly Detection (RAD) - An implementation of the Robust PCA. | Apache-2.0 | ❌ | NASA's [Telemanom](https://github.com/khundman/telemanom)| Python | A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. | [custom](https://github.com/khundman/telemanom/blob/master/LICENSE.txt) | :heavy_check_mark: