使用STUMPY的公司
Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks.
使用STUMPY的公司列表
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\": [
\"stumpy\"
]
}"Technology
is any of
STUMPY
员工数1kGovernment AdministrationSTUMPY高置信度
员工数1kDefense and Space ManufacturingSTUMPY高置信度
员工数81k收入$12MGovernment AdministrationSTUMPY中置信度
员工数32IT Services and IT ConsultingSTUMPY中置信度
员工数5.7kHigher EducationSTUMPY中置信度
员工数14Government AdministrationSTUMPY中置信度- 员工数4Recreational FacilitiesSTUMPY中置信度
员工数5kGovernment AdministrationSTUMPY低置信度
员工数10kDefense and Space ManufacturingSTUMPY低置信度
员工数10k收入$2.6BDefense and Space ManufacturingSTUMPY低置信度
我们拥有关于30家公司和用户使用STUMPY的数据。我们的STUMPY用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 STUMPY 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
STUMPY is an innovative technology in the field of Big Data Tools that has been making waves in the industry for its unique capabilities. It is a powerful library in Python that provides highly efficient algorithms for time series data mining and analysis. STUMPY offers a range of functionalities that allow users to perform motif discovery, anomaly detection, and various other time series analysis tasks with ease and speed.
In the realm of Big Data Tools, STUMPY falls under the category of time series data analysis and is designed to cater to the growing need for sophisticated tools that can handle the complexities of time series data effectively. It is particularly useful for applications in finance, IoT, signal processing, and other domains where analyzing and extracting insights from time-varying data is crucial.
Founded in 2019 by a team of data scientists and software engineers, STUMPY was created with the vision of simplifying time series data analysis and making advanced algorithms more accessible to a broader audience. The motivation behind the development of STUMPY was to address the limitations of existing time series analysis tools and provide a more efficient and intuitive solution for handling large-scale time series datasets.
Currently, STUMPY holds a promising market share within the Big Data Tools category, with an increasing number of organizations adopting this technology for their time series analysis needs. The forecast for STUMPY's market share suggests a steady growth trajectory in the future, fueled by its robust features, ease of use, and expanding user base. As the demand for advanced time series analysis tools continues to rise, STUMPY is well-positioned to gain further traction and solidify its presence in the market.