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Julia Computing

Read 20 Julia Computing reviews and testimonials from customers, explore 29 case studies and customer success stories, and watch 1 customer videos to see why companies chose Julia Computing as their Machine Learning 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 2657 reference ratings
4.8/5.0 (2657)

20Testimonials

  • "Why are macroeconomists like myself so interested in and excited by Julia? Because our models are complicated. It’s easy to write the problem down, but it’s hard to solve it …

  • "We were initially attracted to Julia because of the innovation we saw going on in the community. The computational efficiency and interactivity of the data visualization packages were exactly what …

  • "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). …

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29 Case Studies

  • Drishti Eye Hospitals - Customer Case Study

  • PSR uses Julia for energy market simulation, analytics and planning

  • One of the largest global fund managers is using Julia to model …

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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 29 businesses that use Julia Computing.

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