使用SQLAlchemy的公司
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
使用SQLAlchemy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\": [
\"sqlalchemy\"
]
}"Technology
is any of
SQLAlchemy
员工数5k收入$7.1MMental Health CareSQLAlchemy高置信度
员工数1k收入$5MHospitals and Health CareSQLAlchemy高置信度
员工数2k收入$31MTransportation, Logistics, Supply Chain and StorageSQLAlchemy高置信度
员工数631收入$19MSoftware DevelopmentSQLAlchemy高置信度
员工数400收入$102MSoftware DevelopmentSQLAlchemy高置信度
员工数719收入$49MSoftware DevelopmentSQLAlchemy高置信度
员工数330收入$8MSoftware DevelopmentSQLAlchemy高置信度
员工数256收入$1MSoftware DevelopmentSQLAlchemy高置信度
员工数124Technology, Information and InternetSQLAlchemy高置信度
员工数743Software DevelopmentSQLAlchemy高置信度
我们拥有关于8,265家公司和用户使用SQLAlchemy的数据。我们的SQLAlchemy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 SQLAlchemy 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。
SQLAlchemy is a powerful and popular Python library used for interacting with SQL databases. It provides an ORM (Object-Relational Mapping) system that allows developers to create database schemas and perform various database operations using Python code, abstracting away the complexities of raw SQL queries. With SQLAlchemy, developers can easily map Python objects to database tables, execute queries, and manage database relationships efficiently.
Within the category of PyPI Packages, SQLAlchemy falls under the Database Management Systems subcategory. It is specifically designed for Python developers who need a robust tool to work with relational databases seamlessly. By offering a high-level API and a flexible query language, SQLAlchemy simplifies database interaction tasks, making it a preferred choice for many developers working on Python projects that require database manipulation.
SQLAlchemy was founded in 2005 by Michael Bayer with the aim of providing a comprehensive and flexible ORM library for Python developers. Bayer's motivation stemmed from the need to enhance the development experience by bridging the gap between Python objects and database tables effectively. Over the years, SQLAlchemy has evolved into a mature and widely adopted library, gaining a strong following within the Python community for its reliability and extensive feature set.
In terms of current market share, SQLAlchemy remains a dominant player in the realm of Python database libraries. Its versatility, performance, and active community support contribute to its widespread adoption. As the demand for Python-based applications continues to grow, SQLAlchemy is expected to maintain its market position and potentially experience further growth as new developers leverage its capabilities for database management needs.