Reorder.

README.md

@@ -16,11 +16,11 @@ A repository is considered "not maintained" if the latest commit is > 1 year old
 | [banpei](https://github.com/tsurubee/banpei)| Python | Outlier detection (Hotelling's theory) and Change point detection (Singular spectrum transformation) for time-series. | MIT | :heavy_check_mark:
 | Ele.me's [banshee](https://github.com/facesea/banshee)                     | Go     |Anomalies detection system for periodic metrics. | MIT | ❌
 | [CAD](https://github.com/smirmik/CAD) | Python | Contextual Anomaly Detection for real-time AD on streagming data (winner algorithm of the 2016 NAB competition). | AGPL | ❌
-| [Hastic](https://github.com/hastic) | Python + node.js | Anomaly detection tool for time series data with Grafana-based UI.| Apache-2.0 | :heavy_check_mark:
 | Mentat's [datastream.io](https://github.com/MentatInnovations/datastream.io)| Python |An open-source framework for real-time anomaly detection using Python, Elasticsearch and Kibana. | Apache-2.0 |  ❌
 | [DeepADoTS](https://github.com/KDD-OpenSource/DeepADoTS) | Python | Implementation and evaluation of 7 deep learning-based techniques for Anomaly Detection on Time-Series data. | MIT | :heavy_check_mark:
 | [Donut](https://github.com/korepwx/donut)| Python | Donut is an unsupervised anomaly detection algorithm for seasonal KPIs, based on Variational Autoencoders. | - | :heavy_check_mark:
 | Yahoo's [EGADS](https://github.com/yahoo/egads)                          | Java   |GADS is a library that contains a number of anomaly detection techniques applicable to many use-cases in a single package with the only dependency being Java.    | GPL | :heavy_check_mark:
+| [Hastic](https://github.com/hastic) | Python + node.js | Anomaly detection tool for time series data with Grafana-based UI.| Apache-2.0 | :heavy_check_mark:
 | Linkedin's [luminol](https://github.com/linkedin/luminol)                | Python |Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detection and correlation. It can be used to investigate possible causes of anomaly. | Apache-2.0  | ❌  
 | [MIDAS](https://github.com/bhatiasiddharth/MIDAS) | C++ | MIDAS, short for Microcluster-Based Detector of Anomalies in Edge Streams, detects microcluster anomalies from an edge stream in constant time and memory. | Apache-2.0 | :heavy_check_mark:
 | Numenta's [Nupic](https://github.com/numenta/nupic)                      | C++    |Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM).   | AGPL |  :heavy_check_mark: