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It lets you write simple, fast and quality type safe code while leveraging both the JavaScript & OCaml ecosystems.It is powerful, safe type inference means you rarely have to annotate types, but everything gets checked for you.
59
entreprises
Nous disposons de données sur 59 entreprises qui utilisent ReasonML. Notre liste de clients ReasonML 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 |
---|---|---|---|---|
GitStart | États-Unis | Software Development | 26 | |
![]() Imandra | États-Unis | Software Development | 25 | |
Imandra Inc. | Espagne | Museums, Historical Sites, And Zoos | 9 | |
Smartcuts | États-Unis | Technology, Information And Internet | 5 | |
![]() Signifyd | États-Unis | Software Development | 562 | $150M |
ECAD Labs Inc. | Canada | Transportation, Logistics, Supply Chain And Storage | 71 | $11M |
Sauce Labs Inc. | États-Unis | It Services And It Consulting | 500 | $70M |
![]() Ahrefs | Singapour | Technology, Information And Internet | 177 | $66M |
seedtag | Espagne | Advertising Services | 420 | $25M |
TWave S.L. | Espagne | Appliances, Electrical, And Electronics Manufacturing | 10 | |
Adria Solutions Ltd | Royaume-Uni | Staffing And Recruiting | 14 | $226K |
Porter | Inde | Software Development | 10K | $15M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
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ReasonML est utilisé dans 11 pays
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.
ReasonML is a statically typed programming language that is known for its strong type inference system and functional programming features. It is often used for building complex and high-performance web applications, leveraging the type safety of OCaml and the familiarity of JavaScript syntax. ReasonML offers developers the benefits of a compiled language while still allowing for a smooth integration with existing JavaScript codebases. Its ecosystem includes tools like BuckleScript, which compiles ReasonML code to highly optimized JavaScript.
In the category of Languages, ReasonML stands out as a language that combines the power of functional programming with the flexibility of a modern, JavaScript-like syntax. It aims to offer developers a smooth transition into the world of statically typed languages, making it easier to catch bugs at compile time and write more reliable code. ReasonML's emphasis on immutability and type safety helps developers build scalable and maintainable applications, especially in the context of complex web development projects.
ReasonML was created by Jordan Walke, a software engineer at Facebook, with the initial release in 2017. The motivation behind ReasonML was to provide developers with a language that could seamlessly integrate with both JavaScript and OCaml, offering a pragmatic approach to functional programming in the web development space. Since its inception, ReasonML has gained a dedicated community of developers who appreciate its robust type system and performance benefits.
In terms of market share, ReasonML has a niche but growing presence in the development community. While it may not have the widespread adoption of mainstream languages like JavaScript or Python, ReasonML's unique features and focus on type safety have garnered interest from developers looking for a more secure and reliable alternative. With the increasing demand for scalable and maintainable web applications, ReasonML is positioned to see steady growth in the future as more developers recognize the benefits it offers in terms of productivity and code quality.
ReasonML is a cutting-edge language that many companies use to enhance their development processes. Its innovative features and wide range of benefits make it a top choice for organizations looking to streamline their coding practices and improve overall efficiency.
ReasonML provides enhanced type safety compared to other similar technologies, such as JavaScript. By leveraging a sound type system, ReasonML helps catch errors at compile-time rather than runtime, reducing the likelihood of bugs and enhancing code reliability.
ReasonML offers improved performance as it compiles to highly optimized JavaScript code. This optimization leads to faster and more efficient execution, making ReasonML a preferred choice for companies looking to boost their application's speed and responsiveness.
One of the key benefits of ReasonML is its seamless interoperability with JavaScript. Companies can easily integrate ReasonML into their existing JavaScript codebase, allowing for a smooth transition and leveraging the strengths of both languages for enhanced development flexibility.
ReasonML's modular and functional programming paradigms facilitate scalable and maintainable codebases. By promoting best practices in code organization and design, ReasonML helps companies build robust and easily maintainable applications that can evolve with their business needs.
ReasonML benefits from a growing community of developers and enthusiasts who actively contribute to its ecosystem. This strong community support ensures regular updates, extensive documentation, and a wealth of resources, making ReasonML a reliable and future-proof technology choice for companies seeking long-term success in their projects.
ReasonML is a popular language in the tech industry, known for its strong type system, functional programming capabilities, and seamless integration with JavaScript. Several reputable companies have harnessed the power of ReasonML to improve their software development processes and enhance their products. Let's dive into some compelling case studies showcasing how companies have leveraged ReasonML to achieve their goals:
Facebook:
Facebook, one of the tech giants in the social media realm, adopted ReasonML to enhance its internal tooling and streamline the development of its web applications. Utilizing ReasonML's type safety features and interoperability with existing JavaScript codebases, Facebook was able to boost developer productivity and minimize runtime errors. The company started integrating ReasonML into its projects in 2017, with a gradual expansion of its usage across different teams.
Discord:
Discord, a popular communication platform among gamers and communities, embraced ReasonML to optimize the performance and maintainability of its frontend applications. By taking advantage of ReasonML's functional programming paradigm and efficient JavaScript compilation, Discord achieved significant improvements in code quality and development speed. The company began incorporating ReasonML into its tech stack in 2018, leading to enhanced user experiences and faster feature deliveries.
N26:
N26, a leading digital bank based in Europe, turned to ReasonML to strengthen the security and reliability of its financial products and services. Leveraging ReasonML's robust type system and pattern matching capabilities, N26 enhanced its transaction processing systems and mobile banking applications. The adoption of ReasonML at N26 commenced in 2019, marking a pivotal moment in the company's journey towards building more resilient and scalable banking solutions.
These case studies illustrate how prominent companies such as Facebook, Discord, and N26 have effectively utilized ReasonML to drive innovation, optimize performance, and streamline development workflows. By leveraging the unique features and advantages of ReasonML, these companies have been able to stay at the forefront of technology and deliver exceptional experiences to their users.
Vous pouvez accéder à une liste actualisée des entreprises utilisant ReasonML 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 59 entreprises qui utilisent ReasonML.
ReasonML est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "Software Development", "Museums, Historical Sites, And Zoos", "Technology, Information And Internet", "Software Development", "Transportation, Logistics, Supply Chain And Storage", "It Services And It Consulting", "Technology, Information And Internet", "Advertising Services", "Appliances, Electrical, And Electronics Manufacturing". Pour une liste complète de tous les secteurs utilisant ReasonML, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent ReasonML incluent GitStart, Imandra, Imandra Inc., Smartcuts, Signifyd, ECAD Labs Inc., Sauce Labs Inc., Ahrefs, seedtag, TWave S.L. et bien d'autres encore. Vous pouvez trouver une liste complète des 59 entreprises qui utilisent ReasonML sur TheirStack.com.
Selon nos données, ReasonML est le plus populaire dans États-Unis (16 companies), Canada (4 companies), Royaume-Uni (4 companies), Espagne (3 companies), Brésil (2 companies), Pays-Bas (2 companies), Portugal (2 companies), Allemagne (1 companies), Inde (1 companies), Singapour (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant ReasonML 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.