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Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
有 181 个 Celery 替代品
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Celery 被用于 67 个国家
Technology
is any of
Celery
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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美国 | Restaurants | 10K | $2B | Celery | |
英国 | Utilities | 1K |
| Celery | |
美国 | Food And Beverage Manufacturing | 2K | $1.5B | Celery | |
美国 | Restaurants | 51 |
| Celery | |
Restaurants |
| Celery | |||
Financial Services | 11 |
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美国 | Hospitals And Health Care | 10K |
| Celery | |
肯尼亚 | Professional Services | 1.1K | $10M | Celery | |
美国 | Software Development | 346 | $6.1M | Celery |
我们掌握了关于使用Celery的2,995家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息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。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Celery is a powerful asynchronous task queue/job queue based on distributed message passing. It is written in Python and is used to execute tasks in a distributed manner across multiple worker nodes. Celery is highly versatile and can be used for a wide range of tasks, such as scheduling periodic tasks, processing long-running jobs, and coordinating real-time operations. It is widely used in web development, data processing, and other applications where tasks need to be executed asynchronously.
Celery falls under the category of Message Queues, which are essential components in modern distributed systems. Message Queues provide a way for different parts of a system to communicate and coordinate by passing messages between nodes. Celery specifically focuses on task queuing and distribution, allowing developers to break down complex tasks into smaller sub-tasks that can be executed in parallel across multiple workers. This helps in scaling applications and improving overall performance by offloading time-consuming tasks to background processes.
Founded in 2009 by Ask Solem, Celery was originally motivated by the need for a simple and reliable distributed task queue for Python applications. Over the years, Celery has evolved into a robust and feature-rich framework that is now used by a wide range of companies and developers worldwide. With its active community support and continuous development, Celery has become a popular choice for handling asynchronous tasks in various domains.
Currently, Celery holds a significant market share within the Message Queue category, with a strong presence in the Python ecosystem and beyond. As asynchronous processing continues to gain importance in modern applications, the demand for efficient task queues like Celery is expected to grow further. With ongoing updates and enhancements, Celery is poised to maintain and potentially expand its market share in the future as more businesses adopt distributed computing practices.
您可以访问 TheirStack.com,获取使用 Celery 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 2,995 家使用 Celery 的公司的数据。
Celery 被广泛应用于包括 "Restaurants", "Utilities", "Food And Beverage Manufacturing", "Restaurants", "Restaurants", "Financial Services", "Hospitals And Health Care", "Professional Services", "Software Development" 在内的各个行业的各种组织中。欲了解所有使用 Celery 的行业的完整列表,请访问 TheirStack.com。
一些使用Celery的公司包括Buffalo Wild Wings, Octopus Energy, Sensient Technologies Corporation, Von Ebert Brewing, Bamford Produce, ONEFIN, The Las Olas Company / Riverside Hotel, Franciscan Health, KOKO Networks, Muck Rack以及更多公司。您可以在TheirStack.com上找到使用Celery的2,995家公司完整列表。
根据我们的数据,Celery 在 美国 (823 companies), 英国 (231 companies), 法国 (137 companies), 印度 (106 companies), 西班牙 (102 companies), 加拿大 (54 companies), 德国 (54 companies), 荷兰 (37 companies), 巴西 (30 companies), 波兰 (26 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Celery,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。