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Seeq DataLabApplication for Data Scientists and Process Engineers

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Seeq Data Lab is an application for data scientists and process engineers to access Python libraries to expand their analytics. Using Data Lab process engineers can expand their Seeq analytics efforts to the rich ecosystem of Python libraries, and data scientists can participate directly in industrial analytics by leveraging Seeq for data access, cleansing, modeling, and other features. Data Lab is built on Jupyter Notebooks and a Seeq Python library, called SPy, to access Seeq functionality and managed by the same administration features as other Seeq applications.

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Application

  • Browser-based application
  • Jupyter notebook
  • Seeq/Python (SPy) library

Access Seeq Features

  • Access signals and capsules
  • Cleanse and model data
  • Read/share signal data
  • Create new Seeq formulas

Access any Python Library

  • Visualization
  • Advanced algorithms
  • Non-time series data
  • Custom functions

Seeq Application Integration

  • Shared authentication
  • Signal-level data security
  • Scale analytics across assets
  • Publish graphics in Topics