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Kepler

Abstract

Kepler is a problem-solving environment for the analysis and modeling of scientific data. It simplifies the creation of executable models by using a visual representation of processes, or “scientific workflows”, which display the flow of data among discrete analysis and modeling components.

Developers

  • Aaron Schultz
  • Ben Leinfelder
  • Bertram Ludaescher
  • Bing Zhu
  • Carlos Rueda
  • Chad Berkley
  • Chandrika Sivaramakrishnan
  • Christopher Brooks
  • Dan Higgins
  • Daniel Crawl
  • Daniel Zinn
  • David Welker
  • Debi Staggs
  • Derik Barseghian
  • Edward Lee
  • Efrat Frank
  • Faraaz Sareshwala
  • Gongjing Cao
  • Ilkay Altintas
  • Jagan Kommineni
  • Jenny Wang
  • Jianwu Wang
  • Jim Regetz
  • Jing Tao
  • John Harris
  • Josh Madin
  • Kevin Ruland
  • Kirsten Menger-Anderson
  • Laura Downey
  • Lei Dou
  • Lucas Gilbert
  • Madhusudan Gujral
  • Manish Anand
  • Marcin Plociennik
  • Mark Schildhauer
  • Matthew Jones
  • Matthew Brooke
  • Merve Ildeniz
  • Michal Owsiak
  • Nandita Mangal
  • Nathan Potter
  • Norbert Podhorszki
  • Oscar Barney
  • Rod Spears
  • Samantha Katz
  • Sean Riddle
  • Shawn Bowers
  • Steve Mock
  • Sven Koehler
  • Timothy McPhillips
  • Tobin Fricke
  • Tomasz Żok
  • Tristan King
  • Vitaliy Zavesov
  • Werner Krebs
  • Wibke Sudholt
  • Xiaowen Xin
  • Yang Zhao
  • Zhengang Cheng
  • Zhije Guan