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

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 2447 reference ratings
4.8/5.0 (2447)

20Testimonials

  • "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 …

  • "India is home to 62 million diabetics, many of whom live in rural areas with limited access to health facilities. Timely screening for changes in the retina can help get …

  • "Julia is 20 times faster than Python, 100 times faster than R, 93 times faster than Matlab and 1.3 times faster than Fortran."

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25 Case Studies

  • Invenia Technical Computing is scaling up its energy intelligence system using Julia

  • Drishti Eye Hospitals - Customer Case Study

  • Racefox - Customer Case Study

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1 Customer Videos

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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.