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x-hw avatar

x-hw/amazing-qr

0
View on GitHub↗
10,800 stars·1,575 forks·Python·GPL-3.0·16 views

Amazing Qr

This is a Python library for the programmatic creation of standard, artistic, and animated QR codes derived from text or URL inputs.

The tool generates stylized visuals by blending QR codes with background images using adjustable brightness and contrast settings. It also creates moving visual codes by merging QR patterns with animated GIFs.

The library covers a range of generation workflows, including standard barcode conversion, image-blended artistic designs, and frame-by-frame animated sequences.

Features

  • QR Code Generators - Converts text and URLs into standard scannable QR code images with adjustable sizing.
  • Programmatic QR Generation - Provides a programmatic Python interface for automating the creation of standard and artistic QR codes.
  • Artistic QR Synthesis - Blends QR codes with background images to create stylized, artistic visuals.
  • Image Blending - Blends QR code patterns with background images using brightness and contrast adjustments.
  • Animated QR Codes - Merges QR codes with animated GIFs to produce moving visual codes.
  • QR Code Error Correction Level Selectors - Allows selection of error correction levels to ensure scannability when artistic images are overlaid.
  • Animated Sequence Processing - Implements frame-by-frame processing of GIFs to create animated QR codes.
  • Python 项目 - Listed in the “Python 项目” section of the Great Open Source Project awesome list.

Star history

Star history chart for x-hw/amazing-qrStar history chart for x-hw/amazing-qr

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does x-hw/amazing-qr do?

This is a Python library for the programmatic creation of standard, artistic, and animated QR codes derived from text or URL inputs.

What are the main features of x-hw/amazing-qr?

The main features of x-hw/amazing-qr are: QR Code Generators, Programmatic QR Generation, Artistic QR Synthesis, Image Blending, Animated QR Codes, QR Code Error Correction Level Selectors, Animated Sequence Processing, Python 项目.

Which projects share features with x-hw/amazing-qr?

Projects with overlapping indexed features include: zpao/qrcode.react — This project is a React component library for generating and rendering customizable QR codes. It provides tools to… rosskhanas/react-qr-code — This project is a data encoding library and React component generator designed to convert text strings into scannable… latentcat/qrbtf — qrbtf is an AI QR code generator and image synthesis system that blends machine-readable data with artistic imagery.… chakra-ui/ark — Ark is a headless UI component library that delivers accessible, cross-framework primitives with behavior governed by… codebude/qrcoder — QRCoder is a native C# library for generating and rendering QR codes from text and data payloads. It provides a… fukuchi/libqrencode — libqrencode is a C library for generating QR Code symbols from text, binary, and structured data. It provides a core…

Projects sharing features with Amazing Qr

These projects share indexed features with Amazing Qr. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • zpao/qrcode.reactzpao avatar

    zpao/qrcode.react

    4,264View on GitHub↗

    This project is a React component library for generating and rendering customizable QR codes. It provides tools to produce QR codes as either scalable vector graphics or via an HTML5 canvas. The library enables branded QR code design by allowing the embedding of custom logos or images into the center of the code. It supports a range of visual customizations, including the adjustment of dimensions, foreground and background colors, and margin thickness. The toolset covers the programmatic control of error correction levels to maintain scannability when using overlays. It also includes capabil

    TypeScript
    View on GitHub↗4,264
  • rosskhanas/react-qr-coderosskhanas avatar

    rosskhanas/react-qr-code

    874View on GitHub↗

    This project is a data encoding library and React component generator designed to convert text strings into scannable matrix barcodes. It provides a unified interface for rendering these patterns within both web and mobile application environments, facilitating the integration of dynamic data visualization directly into user interfaces. The library distinguishes itself through a platform-agnostic abstraction layer that supports both scalable vector graphics and pixel-based canvas rendering. This approach ensures that generated codes maintain visual clarity across varying screen resolutions an

    JavaScriptcomponentqr-codereact
    View on GitHub↗874
  • latentcat/qrbtflatentcat avatar

    latentcat/qrbtf

    6,950View on GitHub↗

    qrbtf is an AI QR code generator and image synthesis system that blends machine-readable data with artistic imagery. It uses a latent diffusion model and spatial control networks to produce functional QR codes that incorporate visual art generated from descriptive text prompts. The system provides a dedicated interface and programmatic API for tuning visual output, allowing for the adjustment of control strength, padding ratios, and error correction levels. It supports deterministic sampling via random seeds and the use of negative prompts to refine the final aesthetic of the generated assets

    TypeScriptart-qrart-qr-codeart-qrcode
    View on GitHub↗6,950
  • chakra-ui/arkchakra-ui avatar

    chakra-ui/ark

    5,004View on GitHub↗

    Ark is a headless UI component library that delivers accessible, cross-framework primitives with behavior governed by finite state machines. It provides unstyled components that encapsulate logic and accessibility — including full keyboard navigation, focus management, and WAI-ARIA support — while leaving visual styling entirely to the consumer. Components expose scoped data attributes for CSS targeting and use state machines to produce predictable, testable interactive behavior across every state transition. The library distinguishes itself through a state propagation model that distributes

    TypeScriptcomponentsdesign-systemheadless
    View on GitHub↗5,004
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