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PixTeller

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React Canvas

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PixTeller vs React Canvas: What are the differences?

PixTeller: Turn your words into amazing images. With this tool you can create targeted image quotes, personalized greeting cards or other amazing images; React Canvas: High performance canvas rendering for React components, developed by Flipboard. React Canvas adds the ability for React components to render to "canvas" rather than DOM. This project is a work-in-progress. Though much of the code is in production on flipboard.com, the React canvas bindings are relatively new and the API is subject to change.

PixTeller and React Canvas can be categorized as "JavaScript Framework Components" tools.

React Canvas is an open source tool with 12K GitHub stars and 944 GitHub forks. Here's a link to React Canvas's open source repository on GitHub.

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What is PixTeller?

With this tool you can create targeted image quotes, personalized greeting cards or other amazing images.

What is React Canvas?

React Canvas adds the ability for React components to render to "canvas" rather than DOM. This project is a work-in-progress. Though much of the code is in production on flipboard.com, the React canvas bindings are relatively new and the API is subject to change.

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    What tools integrate with PixTeller?
    What tools integrate with React Canvas?
      No integrations found
      What are some alternatives to PixTeller and React Canvas?
      Stencil
      Stencil combines some of the best features from traditional frameworks, but outputs 100% standards-compliant Custom Elements, part of the Web Component spec.
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      styled-components
      Visual primitives for the component age. Use the best bits of ES6 and CSS to style your apps without stress 💅
      Storybook
      It is an open source tool for developing UI components in isolation for React, Vue, and Angular. It makes building stunning UIs organized and efficient.
      OpenCV
      OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
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