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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
Unternehmen
Wir haben Daten zu 59 Unternehmen, die ReasonML verwenden. Unsere ReasonML Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
GitStart | Vereinigte Staaten | Software Development | 26 | |
![]() Imandra | Vereinigte Staaten | Software Development | 25 | |
Imandra Inc. | Spanien | Museums, Historical Sites, And Zoos | 9 | |
Smartcuts | Vereinigte Staaten | Technology, Information And Internet | 5 | |
![]() Signifyd | Vereinigte Staaten | Software Development | 562 | $150M |
ECAD Labs Inc. | Kanada | Transportation, Logistics, Supply Chain And Storage | 71 | $11M |
Sauce Labs Inc. | Vereinigte Staaten | It Services And It Consulting | 500 | $70M |
![]() Ahrefs | Singapur | Technology, Information And Internet | 177 | $66M |
seedtag | Spanien | Advertising Services | 420 | $25M |
TWave S.L. | Spanien | Appliances, Electrical, And Electronics Manufacturing | 10 | |
Adria Solutions Ltd | Vereinigtes Königreich | Staffing And Recruiting | 14 | $226K |
Porter | Indien | Software Development | 10K | $15M |
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Melden Sie sich an und laden Sie die vollständige Liste der 59 Unternehmen herunter.
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
ReasonML wird in 11 Ländern verwendet
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
Sie können eine aktuelle Liste von Unternehmen, die ReasonML verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 59 Unternehmen, die ReasonML verwenden.
ReasonML wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die ReasonML nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die ReasonML verwenden, umfassen GitStart, Imandra, Imandra Inc., Smartcuts, Signifyd, ECAD Labs Inc., Sauce Labs Inc., Ahrefs, seedtag, TWave S.L. und viele mehr. Sie können eine vollständige Liste von 59 Unternehmen, die ReasonML nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist ReasonML am beliebtesten in Vereinigte Staaten (16 companies), Kanada (4 companies), Vereinigtes Königreich (4 companies), Spanien (3 companies), Brasilien (2 companies), Niederlande (2 companies), Portugal (2 companies), Deutschland (1 companies), Indien (1 companies), Singapur (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die ReasonML verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.