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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.
6
entreprises
Nous disposons de données sur 6 entreprises qui utilisent Pyright. Notre liste de clients Pyright est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
![]() Cruise | États-Unis | Motor Vehicle Manufacturing | 3.6K | $150M |
Afrique du Sud | 1 | |||
Swiss Re | Suisse | Insurance | 15K | $44B |
![]() Chess.com | États-Unis | It Services And It Consulting | 650 | |
Anthropic | États-Unis | Research Services | 769 |
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Statistiques d'Utilisation Technologique et Part de Marché
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Pyright est utilisé dans 3 pays
Il y a 2 alternatives à Pyright
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
Pyright is a cutting-edge static type checking tool that has been widely adopted by companies looking to enhance their code quality and development efficiency. Known for its robust features and seamless integration with Python projects, Pyright offers a range of benefits that set it apart from other similar technologies in the Static Type Checkers category.
Pyright excels in detecting potential errors and type mismatches in Python code, enabling developers to catch bugs early in the development cycle. By providing real-time feedback and precise error messages, Pyright empowers teams to write cleaner, more reliable code compared to traditional manual testing methods.
Unlike some other static type checkers, Pyright seamlessly integrates with popular Python development environments and build tools, ensuring a hassle-free setup process for development teams. Its flexibility and ease of use make it a preferred choice for companies seeking a tool that seamlessly fits into their existing workflow.
Pyright offers fast and efficient type checking, thanks to its advanced type inference capabilities and optimized performance. This allows developers to identify and resolve issues quickly, improving productivity and reducing time-to-market compared to slower, less efficient alternatives.
With Pyright, companies can achieve comprehensive type coverage across their Python codebase, ensuring better code readability, maintainability, and overall software quality. Its extensive type checking capabilities outshine other tools by providing thorough analysis and ensuring a high level of code integrity.
Pyright boasts a dedicated team that consistently releases updates and provides excellent support to its users. This commitment to continuous improvement ensures that companies utilizing Pyright have access to the latest features, bug fixes, and enhancements, making it a reliable choice for long-term development projects.
Pyright, a static type checker for Python, is utilized by several prominent companies to enhance code quality and maintainability. Here are some real-world case studies showcasing how companies leverage Pyright in their development processes:
1. Microsoft Microsoft, a leading technology company, utilizes Pyright within its Python codebase to enforce type annotations and perform static type checking. By incorporating Pyright into its development workflow, Microsoft has significantly improved code quality and reduced potential runtime errors. This adoption of Pyright started in early 2019, and since then, it has become an integral part of Microsoft's Python development ecosystem.
2. Dropbox Dropbox, a renowned file hosting service, relies on Pyright for static type analysis in its Python projects. By embracing Pyright, Dropbox has achieved greater code clarity, reduced bugs related to type mismatches, and streamlined code reviews. The adoption of Pyright at Dropbox began in late 2018, and it has played a crucial role in enhancing the maintainability of their Python codebase.
3. Uber Uber, a leading transportation technology company, has integrated Pyright into its Python development stack to enforce type safety and improve code robustness. Pyright enables Uber's developers to catch potential type-related issues early in the development cycle, leading to more stable code deployments. Uber started using Pyright in mid-2020, and it has become an essential tool for ensuring code quality across various Python projects within the organization.
These case studies demonstrate how companies like Microsoft, Dropbox, and Uber leverage Pyright as a static type checker to enhance their Python development processes and deliver high-quality software products to their users.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Pyright en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 6 entreprises qui utilisent Pyright.
Pyright est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Motor Vehicle Manufacturing", "Insurance", "It Services And It Consulting", "Research Services". Pour une liste complète de tous les secteurs utilisant Pyright, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Pyright incluent Cruise, EMERTON GROUP, Swiss Re, Chess.com, Anthropic et bien d'autres encore. Vous pouvez trouver une liste complète des 6 entreprises qui utilisent Pyright sur TheirStack.com.
Selon nos données, Pyright est le plus populaire dans États-Unis (3 companies), Afrique du Sud (1 companies), Suisse (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Pyright en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.