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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 2531 reference ratings
4.8/5.0 (2531)

20Testimonials

  • "A lot of our work involves solving mathematical models of the world in which the future is uncertain. Our workhorse is a solution algorithm called Stochastic Dual Dynamic Programming (SDDP). …

  • "I stumbled upon Julia and gave it a try for a few days. I fell in love with the syntax, which is in so many ways exactly how I wanted …

  • "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.”

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25 Case Studies

  • Drishti Eye Hospitals - Customer Case Study

  • Brazilian Development Bank - Customer Case Study

  • Racefox - 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.