Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
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。
PyPy 被用于 8 个国家
我们掌握了关于使用PyPy的32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。
Technology
is any of
PyPy
有 123 个 PyPy 替代品
257.8k
232k
180.2k
156.7k
140k
133.7k
96.2k
89.9k
88.8k
72.6k
65.6k
58.1k
52.5k
40.9k
35.1k
32.9k
32.2k
30.4k
27.9k
25.1k
22.4k
19.2k
16.2k
14.3k
13.5k
12.4k
10.7k
10.6k
9.5k
9.2k
8.6k
6.5k
4.9k
4.3k
4.2k
2.8k
2.8k
2.7k
2.7k
2.7k
2.6k
2.4k
2.3k
2.1k
2.1k
2k
1.7k
1.6k
1.5k
1.5k
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。
PyPy, short for Python implementation in Python, is an alternative implementation of the Python programming language. It aims to improve the execution speed of Python code through a just-in-time compiler. Unlike the standard CPython implementation, which interprets Python code, PyPy uses a translation toolchain to convert Python code into lower-level languages for faster execution. This technology is popular among developers looking to boost the performance of their Python applications without sacrificing the ease of development that Python is known for.
PyPy falls under the category of Languages in the technology landscape. As a specialized Python implementation, PyPy caters to developers who prioritize speed and performance in their Python projects. By utilizing a just-in-time compiler, PyPy offers a significant speedup compared to traditional Python interpreters, making it a valuable tool for tasks requiring computational efficiency.
The PyPy project was founded in 2004 by a group of developers with the motivation to address the performance limitations of traditional Python implementations. Their goal was to create a high-performance alternative to CPython that could leverage advanced optimization techniques to speed up Python code execution. Over the years, the PyPy team has continued to refine and enhance the technology, cementing its position as a go-to solution for developers seeking performance gains in Python applications.
Currently, PyPy holds a niche market share within the category of Languages, with a dedicated user base that values its speed and performance benefits. While PyPy may not have the widespread adoption of mainstream Python implementations, its unique value proposition continues to attract developers working on performance-critical projects. With ongoing advancements and community support, PyPy is poised to maintain its position in the market and potentially see growth as more developers prioritize speed optimization in their Python development workflows.
您可以访问 TheirStack.com,获取使用 PyPy 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 32 家使用 PyPy 的公司的数据。
PyPy 被广泛应用于包括 "Engineering Services", "Motor Vehicle Manufacturing", "It Services And It Consulting", "Software Development", "Telecommunications", "Software Development", "It Services And It Consulting" 在内的各个行业的各种组织中。欲了解所有使用 PyPy 的行业的完整列表,请访问 TheirStack.com。
一些使用PyPy的公司包括Continental Marketing, INC, FIRSTMAC OPERATION CENTER PTY-LTD PHILIPPINES BRANCH, Capgemini Engineering, KAR Global, TELUS International, Trayport, Telus, Datadog, eTek IT Services, Inc., Intelligent Medical Objects以及更多公司。您可以在TheirStack.com上找到使用PyPy的32家公司完整列表。
根据我们的数据,PyPy 在 美国 (8 companies), 加拿大 (4 companies), 英国 (3 companies), 法国 (2 companies), 印度 (1 companies), 马来西亚 (1 companies), 波兰 (1 companies), 瑞典 (1 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PyPy,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。