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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
aziende
Abbiamo dati su 6 aziende che usano Pyright. La nostra lista di clienti Pyright è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
![]() Cruise | Stati Uniti | Motor Vehicle Manufacturing | 3.6K | $150M |
Sudafrica | 1 | |||
Swiss Re | Svizzera | Insurance | 15K | $44B |
![]() Chess.com | Stati Uniti | It Services And It Consulting | 650 | |
Anthropic | Stati Uniti | Research Services | 769 |
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Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Pyright visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 6 aziende che utilizzano Pyright.
Pyright è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Motor Vehicle Manufacturing", "Insurance", "It Services And It Consulting", "Research Services". Per un elenco completo di tutti i settori che utilizzano Pyright, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Pyright includono Cruise, EMERTON GROUP, Swiss Re, Chess.com, Anthropic e molte altre. Puoi trovare un elenco completo di 6 aziende che utilizzano Pyright su TheirStack.com.
Secondo i nostri dati, Pyright è più popolare in Stati Uniti (3 companies), Sudafrica (1 companies), Svizzera (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Pyright cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.
Pyright è utilizzata in 3 paesi