Free download for data scientists and researchers. Install on Windows, Mac, or Linux. Enterprise support available.
For finance users, quants, and analysts. Includes all the tools you need for backtesting and trading: Excel, Bloomberg, contract modeling, and JuliaDB.
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Run Julia applications in the public or private cloud. Scalable deployment in production for real time analytics and large-scale parallel simulations.
Run Julia without installation from your browser in Jupyter notebooks. Popular with universities and beginners.
Julia is the fastest modern open-source language for data science, machine learning and scientific computing. Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, Matlab, SAS or Stata combined with the speed, capacity and performance of C, C++ or Java.
Integration with Excel and Bloomberg
Over 1,500
sep 2017
1.2 million
sep 2017
Based on downloads
Over 30,000
Github stars
(Julia & packages)
sep 2017
Julia users, partners and employers hiring Julia programmers
What Julia users are saying
In our company, Julia blurs the barrier between prototyping done by data scientists and production development done by our developers. Thanks to Julia, both activities are carried out within the same platform. This brings a lot of advantages, including much faster development and much easier maintenance of code.
tangent works
What Julia users are saying
Solvency II compliant models in Julia are 1000x faster than Algorithmics, use 10x less code and took 1/10 the time to implement.
What Julia users are saying
I just wanted to thank you for Julia. I am the manager of an engineering group responsible for quite a few numerical tools, from stand-alone small programs to full-blown finite element codes. Julia is the most exciting thing I've seen in years. When a language is cool enough for a 50-something year old manager to spend his spare time programming in it at home, you know that you've kindled serious excitement.
Patrick Majors, Engineering Manager, cooper tire and rubber
What Julia users are saying
Julia is faster than Python, but more than that it’s much more expressive: the type system, macros and multiple dispatch enable us to tackle more ambitious projects. But it also interoperates with Python, so we can take advantage of our existing libraries and fit into the ecosystem.
gambit research
What Julia users are saying
Julia is very easy to understand. It’s a very familiar syntax, which helps the reader understand the document with clarity, and it helps the writer develop algorithms that are concise. We continue to push Julia as a standard for specifications in the avionics industry. Julia is the right answer for us and exceeds all our needs.
Robert Moss, Lincoln Labs
What Julia users are saying
We chose Julia which gives us the expressiveness and development speed of Python and the performance of C with a language and type system that aids and does not impede productivity.
Aman Thind, CTO BestX
What Julia users are saying
With Julia, the business side user can build prototypes without having to worry about speeding up code later with C++. It’s very cost effective since there is no need to write glue code to translate R datatypes. Also, the language syntax is even simpler than R. We can write for loops. Goodbye cryptic vectorized code!
Felipe Noronha Tavares, Brazilian National Bank for Economic and Social Development
What Julia users are saying
Being high level and having an ability to iterate quickly makes a major difference in a fast-paced innovative environment like at Voxel8. The speed at which we’ve been able to develop this has been incredible. If we were doing this in a more traditional language like C or C++, we wouldn’t be nearly as far as we are today with the number of developers we have, and we wouldn’t be able to respond nearly as quickly to customer feedback regarding what features they want.
Jack Minardi, Voxel8 Co-Founder and Software Lead
What Julia users are saying
Julia is a great tool. We like Julia. We are very excited about Julia because our models are complicated. It’s easy to write the problem down, but it’s hard to solve it – especially if our model is high dimensional. That’s why we need Julia. Figuring out how to solve these problems requires some creativity. This is a walking advertisement for Julia.
Nobel Laureate Thomas J. Sargent
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We provide products, training and consulting to make Julia easy to use, easy to deploy and easy to scale in your organization. Email us: [email protected]
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Julia Computing, Inc. was founded with a mission to make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, New York, London, Bangalore, San Francisco, Los Angeles and Washington DC and we serve customers worldwide.
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