Built by the Community
Checkout some of our most impressive packages built by the vast array of open source developers and technical programmers in the Julia ecosystem. Then try JuliaHub, the technical computing platform with a plethora of features that makes it easy to work with Julia at scale. Access our free version today.
Modeling & Simulation
Existing modelling and simulation tools are unable to keep pace with what engineers need today. Julia and Julia-based simulation tools provide two orders of magnitude of acceleration over existing tools.
Many consider Julia the future of machine learning because of it's ability to run ML algorithms at warp speed.
Scientific Machine Learning (SciML)
Using SciML in Julia, you can pioneer a new, data-informed approach to modeling and science-based machine learning.
These packages provide additional nonlinear and robust control methods enabling the powerful features of the Julia language to be leveraged for control design and analysis.
Julia can be used with a wide variety of growing robotics libraries and frameworks.
Plotting & Visualization
Julia's ability to work with large datasets makes it a natural choice for plotting and visualizations. See some of the most popular packages here.
Julia is for Speed and Performance
These micro-benchmarks test compiler performance on a range of common code patterns, such as function calls, string parsing, sorting, numerical loops, random number generation, recursion, and array operations. The benchmarks are written to test the performance of identical algorithms and code patterns implemented in each language.