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Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
5,280
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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There are 193 alternatives to SciPy
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SciPy is used in 76 countries
Technology
is any of
SciPy
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Retail | 10K | $50M | SciPy | |
United States | Software Development | 770K |
| SciPy | |
United Kingdom | Technology, Information And Internet | 174 |
| SciPy | |
United States | Software Development | 118K |
| SciPy | |
United States | It Services And It Consulting | 34K | $14B | SciPy | |
United Kingdom | Investment Management | 3.5K | $1.5B | SciPy | |
Canada | It Services And It Consulting | 57 | $7M | SciPy | |
Spain | Consumer Services | 11K | $422M | SciPy | |
| SciPy | ||||
United States | Photography | 6.1K | $900M | SciPy |
We have data on 5,280 companies that use SciPy. Our SciPy 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.
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.
SciPy is a comprehensive open-source library for scientific computing in Python. It provides a wide range of functionalities for mathematical operations, numerical routines, optimization, linear algebra, integration, interpolation, and more. SciPy is built on top of NumPy, another popular Python library for numerical computing, and together they form a powerful ecosystem for scientific computing and data analysis.
Within the category of Data Science Tools, SciPy plays a crucial role in enabling data scientists, researchers, and engineers to perform complex scientific computations efficiently. Its extensive collection of modules and functions makes it a go-to choice for tasks ranging from simple computations to advanced scientific experiments and simulations. By leveraging SciPy, professionals can streamline their workflows, enhance productivity, and tackle intricate data analysis challenges with ease.
Initially founded in 2001 by Travis Oliphant, SciPy emerged as a response to the need for a robust scientific computing toolset in the Python programming language. Over the years, it has evolved into a cornerstone of the Python ecosystem, attracting a vast community of users and contributors dedicated to advancing scientific computing capabilities. With a strong emphasis on performance, usability, and extensibility, SciPy continues to be a pivotal tool for realizing innovative research projects and data-driven insights.
In terms of current market share within the Data Science Tools category, SciPy holds a significant position due to its widespread adoption and reputation among data science and research communities. As the demand for sophisticated data analysis tools continues to rise, SciPy is expected to maintain its growth trajectory and solidify its presence in the market. With ongoing developments, improvements, and expansions, SciPy is poised to further enhance its capabilities and appeal to a broader audience of data enthusiasts and professionals.
You can access an updated list of companies using SciPy by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 5,280 companies that use SciPy.
SciPy is used by a diverse range of organizations across various industries, including "Retail", "Software Development", "Technology, Information And Internet", "Software Development", "It Services And It Consulting", "Investment Management", "It Services And It Consulting", "Consumer Services", "Photography". For a comprehensive list of all industries utilizing SciPy, please visit TheirStack.com.
Some of the companies that use SciPy include Amazon.com, Amazon, myGwork - LGBTQ+ Business Community, Meta, Leidos, Man Group, Granify, Glovo, edX Boot Camps, Getty Images and many more. You can find a complete list of 5,280 companies that use SciPy on TheirStack.com.
Based on our data, SciPy is most popular in United States (1,775 companies), United Kingdom (427 companies), India (156 companies), France (133 companies), Canada (122 companies), Germany (118 companies), Spain (88 companies), Netherlands (65 companies), Switzerland (52 companies), Brazil (44 companies). However, it is used by companies all over the world.
You can find companies using SciPy by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.