CITATION.cff

cff-version: 0.1.0
title: Kats
message: >-
  If you use this library, please cite using the
  following metadata.
type: software
authors:
  - given-names: Xiaodong
    email: iamxiaodong@meta.com
    family-names: Jiang
    affiliation: Meta
  - given-names: Sudeep
    email: sudeeps@meta.com
    family-names: Srivastava
    affiliation: Meta
  - given-names: Sourav
    email: souravc83@meta.com
    family-names: Chatterjee
    affiliation: Meta
  - given-names: Yang
    email: yangbk@meta.com
    family-names: Yu
    affiliation: Meta
  - given-names: Jeffrey
    email: jeffhandl@meta.com
    family-names: Handler
    affiliation: Meta
  - given-names: Peiyi
    email: peiyizhang@meta.com
    family-names: Zhang
    affiliation: Meta
  - given-names: Rohan
    # email:
    family-names: Bopardikar
    affiliation: Meta
  - given-names: Dawei
    # email:
    family-names: Li
    affiliation: Apple
  - given-names: Yanjun
    # email:
    family-names: Lin
    affiliation: Meta
  - given-names: Uttam
    email: uthakore@meta.com
    family-names: Thakore
    affiliation: Meta
  - given-names: Michael
    # email:
    family-names: Brundage
    affiliation: Meta
  - given-names: Ginger
    # email:
    family-names: Holt
    affiliation: Databricks
  - given-names: Caner
    # email:
    family-names: Komurlu
    affiliation: Somatus
  - given-names: Rakshita
    # email:
    family-names: Nagalla
    affiliation: LinkedIn
  - given-names: Zhichao
    # email:
    family-names: Wang
    affiliation: Doordash
  - given-names: Hechao
    # email:
    family-names: Sun
    affiliation: Instacart
  - given-names: Peng
    # email:
    family-names: Gao
    affiliation: Meta
  - given-names: Wei
    # email:
    family-names: Cheung
    affiliation: Meta
  - given-names: Jun
    # email:
    family-names: Gao
    affiliation: Meta
  - given-names: Qi
    # email:
    family-names: Wang
    affiliation: Meta
  - given-names: Marius
    # email:
    family-names: Guerard
    affiliation: Google
  - given-names: Morteza
    email:
    family-names: Kazemi
    # affiliation:
  - given-names: Yulin
    # email:
    family-names: Chen
    affiliation: Meta
  - given-names: Chong
    # email:
    family-names: Zhou
    affiliation: Meta
  - given-names: Sean
    email: seunghak@meta.com
    family-names: Lee
    affiliation: Meta
  - given-names: Nikolay
    # email:
    family-names: Laptev
    affiliation: Meta
  - given-names: Tihamér
    # email:
    family-names: Levendovszky
    affiliation: Meta
  - given-names: Jake
    # email:
    family-names: Taylor
    affiliation: Meta
  - given-names: Huijun
    # email:
    family-names: Qian
    affiliation: Meta
  - given-names: Jian
    # email:
    family-names: Zhang
    affiliation: Meta
  - given-names: Aida
    # email:
    family-names: Shoydokova
    affiliation: Meta
  - given-names: Trisha
    # email:
    family-names: Singh
    affiliation: Meta
  - given-names: Chengjun
    # email:
    family-names: Zhu
    affiliation: Meta
  - given-names: Zeynep
    # email:
    family-names: Baz
    affiliation: Meta
  - given-names: Christoph
    # email:
    family-names: Bergmeir
    affiliation: Monash University
  - given-names: Di
    # email:
    family-names: Yu
    affiliation: Meta
  - given-names: Ahmet
    # email:
    family-names: Koylan
    # affiliation:
  - given-names: Kun
    # email:
    family-names: Jiang
    affiliation: Meta
  - given-names: Ploy
    # email:
    family-names: Temiyasathit
    affiliation: Graphcore
  - given-names: Emre
    # email:
    family-names: Yurtbay
    affiliation: Meta
repository-code: 'https://github.com/facebookresearch/Kats'
abstract: >-
  Kats is a toolkit to analyze time series data, a lightweight, easy-to-use,
  and generalizable framework to perform time series analysis. Time series
  analysis is an essential component of Data Science and Engineering work
  at industry, from understanding the key statistics and characteristics,
  detecting regressions and anomalies, to forecasting future trends.
  Kats aims to provide the one-stop shop for time series analysis,
  including detection, forecasting, feature extraction/embedding,
  multivariate analysis, etc.
keywords:
  - 'Kats, time series, forecasting, detection, embedding'
license: MIT License
license-url: https://github.com/facebookresearch/Kats/blob/main/LICENSE
version: '0.2.0'
date-released: '2022-03-15'
identifiers:
  - type: url
    value: "https://github.com/facebookresearch/Kats/releases/tag/v0.2.0"
    description: The GitHub release URL of tag 0.2.0