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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 2484 reference ratings
4.8/5.0 (2484)

20Testimonials

  • "Solvency II compliant models in Julia are one thousand times faster than IBM Algorithmics, use 93% fewer lines of code and took one-tenth the time to implement.”

  • “I started using Julia when a friend pointed me to a blog demonstrating efficient implementation of a restricted Boltzmann machine (RBM) with less than 2x overhead compared with C. So …

  • "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 …

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25 Case Studies

  • Electric Power Optimization Centre - Customer Case Study

  • The Federal Reserve Bank of New York publishes its trademark Dynamic Stochastic …

  • Drishti Eye Hospitals - Customer Case Study

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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.