Tornado vs. Aura vs. Trailblazer
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Tornado |
Aura |
Trailblazer |
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Description |
What is Tornado?By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
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What is Aura?The Aura project centers around a collection of high-quality, well-tested, semantically versioned, standards-compliant, independent library packages that can be used in any codebase.
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What is Trailblazer?Trailblazer is a thin layer on top of Rails. It gently enforces encapsulation, an intuitive code structure and gives you an object-oriented architecture. In a nutshell: Trailblazer makes you write logicless models that purely act as data objects, don't contain callbacks, nested attributes, validations or domain logic. It removes bulky controllers and strong_parameters by supplying additional layers to hold that code and completely replaces helpers.
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Pros about this tool |
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Pricing |
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Companies |
63 Companies Using Tornado
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9 Companies Using Aura
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2 Companies Using Trailblazer
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Integrations |
Tornado
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Aura
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How developers use Tornado vs Aura vs Trailblazer
Kalibrr uses Tornado
We use Tornado as our websockets server, using SockJS (an alternative to socket.io).
SpreadServe uses Tornado
SpreadServe's RealTimeWebServer is built in Tornado. Spreadsheets loaded into SpreadServeEngine instances are projected into browsers using Tornado. Server side recalcs are pushed to the browser using web sockets.
Banyan uses Tornado
Tornado with Async/Await coroutines provided in Python 3.5 make up for an excellent stack for a micro-service.
papaver uses Tornado
setup an api for a client with tornado backend. incredibly fast and lightweight. unfortunately breaks down when using third party libraries which block internally.