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Typically 5x or more faster than mypy and other type checkers that are written in Python. It is meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified.
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。
Pyright 被用于 6 个国家
我们掌握了关于使用Pyright的14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
Pyright
| 公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
|---|---|---|---|---|---|
 英国 | Financial Services | 6.5K | $720M | Pyright | |
 美国 | Motor Vehicle Manufacturing | 3.6K | $150M | Pyright | |
 瑞士 | Insurance | 15K | $44B | Pyright | |
美国 | Research Services | 1.1K |
| Pyright | |
美国 | Staffing And Recruiting | 123 |
| Pyright | |
美国 | It Services And It Consulting | 808 |
| Pyright | |
英国 | Staffing And Recruiting |
| Pyright | ||
 南非 | 1 |
| Pyright | ||
美国 | Technology, Information And Internet |
| Pyright | ||
Chemical Manufacturing |
| Pyright |
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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。
Pyright is a highly efficient static type checker for Python that is designed to provide fast and accurate type checking. It is specifically built to cater to the needs of large code bases and complex projects, offering developers a reliable tool to detect type errors, provide intelligent code completion, and enhance overall code quality. Pyright leverages the Python language server protocol (LSP) to deliver real-time feedback and analysis, helping developers catch potential bugs and improve code readability.
Static Type Checkers fall under the category of tools that analyze code without executing it and identify potential type-related issues at compile time rather than runtime. Pyright, in particular, focuses on ensuring type safety in Python projects by examining the codebase and detecting any inconsistencies or mismatches in variable types. By flagging type errors early in the development process, Pyright aids in maintaining code integrity and preventing runtime failures.
Pyright was founded by Microsoft in 2018 with the aim of providing a robust type checking solution for Python developers. Microsoft was motivated by the growing popularity of static type checking in the Python community and the need for a high-performance tool that could handle the demands of large-scale projects effectively. Since its inception, Pyright has gained traction among developers and is widely recognized for its speed and accuracy.
In terms of current market share, Pyright has established itself as a leading tool in the realm of static type checkers for Python. With an increasing number of developers embracing type hints and static analysis to improve code quality, Pyright is poised to experience continued growth in the foreseeable future. Its efficient performance, continuous updates, and integration with popular code editors make it a preferred choice for teams seeking reliable static type checking solutions.
您可以访问 TheirStack.com，获取使用 Pyright 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 14 家使用 Pyright 的公司的数据。
Pyright 被广泛应用于包括 "Financial Services", "Motor Vehicle Manufacturing", "Insurance", "Research Services", "Staffing And Recruiting", "It Services And It Consulting", "Staffing And Recruiting", "Technology, Information And Internet", "Chemical Manufacturing" 在内的各个行业的各种组织中。欲了解所有使用 Pyright 的行业的完整列表，请访问 TheirStack.com。
一些使用Pyright的公司包括Capco, Cruise, Swiss Re, Anthropic, OSI Engineering, Chess.com, Pavilion Recruitment Solutions, EMERTON GROUP, WorkflowAI, EMERTON以及更多公司。您可以在TheirStack.com上找到使用Pyright的14家公司完整列表。
根据我们的数据，Pyright 在 美国 (6 companies), 英国 (2 companies), 捷克 (1 companies), 新加坡 (1 companies), 南非 (1 companies), 瑞士 (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Pyright，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。
