Companies that use Spyder
It is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
656
companies
List of companies using Spyder
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\": [
\"spyder\"
]
}"Technology
is any of
Spyder
Entertainment Providers
SpyderHigh confidence
Employees10kRevenue$5.6BManufacturing
SpyderHigh confidence
Employees5kRevenue$6.7BTechnology, Information and Internet
SpyderHigh confidence
Employees950Revenue$146MComputer Games
SpyderHigh confidence
Employees93Environmental Services
SpyderHigh confidence
Employees201Revenue$15MRetail Motor Vehicles
SpyderHigh confidence
Employees1kRevenue$380MRetail Apparel and Fashion
SpyderHigh confidence
Employees501Revenue$115MManufacturing
SpyderHigh confidence
Employees201Environmental Services
SpyderHigh confidence
Employees140kRevenue$7.9BFacilities Services
SpyderHigh confidence
We have data on 656 companies and users that use Spyder. Our Spyder 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 Spyder users
- How to customize this list?
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.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.
Spyder is a powerful Integrated Development Environment (IDE) that caters specifically to the needs of data scientists and researchers. Offering a range of features tailored to the data analysis process, Spyder is renowned for its user-friendly interface and efficient workflow. With capabilities for data exploration, visualization, and integration with popular libraries such as NumPy, Pandas, and Matplotlib, Spyder provides a comprehensive environment for writing and running code in Python.
As a key player in the IDE market, Spyder falls under the category of development tools designed for scientific computing and data analysis. Its emphasis on providing a workspace conducive to numerical computing tasks sets it apart from general-purpose IDEs, making it a go-to tool for professionals working with data-intensive projects. The combination of a code editor, interactive console, and variable explorer within Spyder enhances productivity and streamlines the development process for users in these specialized fields.
Founded in 2009 by Pierre Raybaut, Spyder was created with the vision of bridging the gap between software development and scientific research. Raybaut's motivation stemmed from a desire to offer a comprehensive solution tailored to the unique requirements of data analysis, thereby empowering researchers and data scientists with a dedicated platform for their work. Since its inception, Spyder has gained a strong following within the data science community and continues to evolve with regular updates and feature enhancements.
Currently, Spyder holds a notable market share within the IDE landscape for data science and scientific computing. Its reputation for being an intuitive and feature-rich tool has contributed to its steady growth in popularity among professionals in these domains. With the increasing demand for specialized IDEs that support data analysis workflows, Spyder is well-positioned to maintain and further expand its market share in the foreseeable future. As the field of data science continues to flourish, Spyder is poised to play a significant role in driving innovation and efficiency in this dynamic industry.