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Julia Computing

Read 20 Julia Computing reviews and testimonials from customers, explore 25 case studies and customer success stories, and watch 1 customer videos to see why companies chose Julia Computing as their Data Analytics Software

Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded more than 3.2 million times and is used at more than 1,500 universities.

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Customer Rating Review Score based on 2535 reference ratings
4.8/5.0 (2535)

20Testimonials

  • "Coming from using Matlab, Julia was pretty easy, and I was surprised by how easy it was to write pretty fast code. Obviously the speed, conciseness and dynamic nature of …

    Cancer Research UK

  • "We wanted to make sure we didn’t commit the mistake of the dual language problem where most analytics are written twice – once for prototyping, and then again for running …

    Aman Thind Chief Technology Officer

  • "Path planning is computationally very expensive and requires high performance computing."

    Jack Minardi Co-Founder and Software Lead
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25 Case Studies

  • Gambit Research - Customer Case Study

  • Racefox - Customer Case Study

  • Voxel8 is using Julia for 3D printing

    Jack Minardi Co-Founder and Software Lead
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1 Customer Videos

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Additional Julia Computing Information & Resources

Read Julia Computing Reviews, Testimonials & Customer References from 20 real Julia Computing customers.

Browse Julia Computing Case Studies, Customer Success Stories, & Customer References from 25 businesses that use Julia Computing.

Watch Julia Computing Customer Videos to learn why 1 businesses chose Julia Computing.

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