Data science: Are open source tools for you?

A Guide to Open Source in Data Science

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What open source data science tools are the best fit for your needs?

There are dozens of options to choose from, and each is suited for a specific purpose. For example, Caffe is a deep learning framework developed at UC Berkeley, while Julia is a high-performance programming language for scientific computing.

Read this 451 Research report for details on many other open source tools, and learn some of the benefits of using open source data science tools, including:

  • A collaborative culture in the development and improvement of related software
  • Rapid open source development means your data scientists will be the first to deliver innovative capabilities
  • Saving massive costs by avoiding up-front support or licensing costs
Vendor:
Dataiku
Posted:
04 Jan 2019
Published:
31 Aug 2018
Format:
PDF
Type:
Analyst Report
Language:
English
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