Companies that use Julia
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
5,601
companies
List of companies using Julia
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"julia\"
]
}"Technology
is any of
Julia
Employees15kRail TransportationJuliaHigh confidence
Employees501IT System Custom Software DevelopmentJuliaHigh confidence
Employees21Agriculture, Construction, Mining Machinery ManufacturingJuliaHigh confidence
Employees2kWholesaleJuliaHigh confidence
Employees2.8kIT Services and IT ConsultingJuliaHigh confidence
Employees23Personal Care Product ManufacturingJuliaHigh confidence
Employees16kEducation Administration ProgramsJuliaHigh confidence
Employees207IT Services and IT ConsultingJuliaHigh confidence
Employees10kReal EstateJuliaHigh confidence
Employees2.5kRevenue$1BReal EstateJuliaHigh confidence
We have data on 5,601 companies and users that use Julia. Our Julia users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target Julia users
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Julia is a high-level, high-performance programming language specifically designed for numerical and computational science. It provides a dynamic programming language that is as expressive and easy to use as Python, but also offers the speed and performance of traditional compiled languages like C or Fortran. Julia is renowned for its speed in executing mathematical operations, making it an ideal choice for data analysis, machine learning, scientific computing, and other computational tasks.
Julia falls under the category of programming languages, with a primary focus on scientific and numerical computing. It excels in tasks that involve heavy mathematical computation, such as linear algebra, statistics, and simulation. Julia's syntax is concise and readable, making it a favorite among data scientists and researchers who aim to write code that is both efficient and understandable. Its multiple dispatch feature allows for elegant and flexible code organization, leading to improved productivity and code maintainability.
Founded in 2009 by a team of computer scientists, including Viral B. Shah, Jeff Bezanson, Stefan Karpinski, and Alan Edelman, Julia was motivated by the need for a language that bridges the gap between performance and ease of use in scientific computing. Since its inception, Julia has gained a strong following within the scientific and data analysis communities, with a growing number of users adopting it for their computational work.
In the current market, Julia holds a niche but growing market share within the realm of numerical and scientific computing languages. Its speed and versatility have garnered attention from researchers, data scientists, and developers looking to tackle complex computational problems efficiently. With ongoing development and community support, Julia is poised to see continued growth in the future as more users recognize the benefits it offers for numerical computing tasks.