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सर्वर-साइड इमेज प्रोसेसिंग लाइब्रेरीज़

रैंकिंग 30 जून 2026 को अपडेट की गई

For सर्वर-साइड इमेज प्रोसेसिंग के लिए एक लाइब्रेरी, the strongest matches are sixlabors/imagesharp (ImageSharp is a comprehensive), hybridgroup/gocv (GoCV is a Go binding for OpenCV, giving you) and imagemagick/imagemagick (ImageMagick is a comprehensive image processing library that offers). libvips/libvips and lovell/sharp round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.

ये लाइब्रेरीज़ सर्वर एनवायरनमेंट में इमेज फाइल्स को रिसाइज़, एनकोड और मैनिपुलेट करने के लिए मजबूत टूल्स प्रदान करती हैं।

सर्वर-साइड इमेज प्रोसेसिंग लाइब्रेरीज़

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • sixlabors/imagesharpSixLabors का अवतार

    SixLabors/ImageSharp

    7,954GitHub पर देखें↗

    ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying digital images. It functions as a comprehensive toolkit for resizing, cropping, and applying pixel-level filters while managing color profiles and pixel data across various file formats. The project integrates a 2D vector graphics engine and a typography rendering engine to draw geometric shapes, paths, and complex stylized text onto images. It also includes a geometry boolean operation library for calculating intersections, unions, and differences between complex polygons and c

    ImageSharp is a comprehensive .NET image processing library that supports resizing, encoding, and decoding across many formats (JPEG, PNG, WebP, etc.) with high-quality resampling and quality controls, directly matching the need for programmatic image manipulation.

    C#Color Space ConvertersImage Format DecodersResampling Optimizations
    GitHub पर देखें↗7,954
  • hybridgroup/gocvhybridgroup का अवतार

    hybridgroup/gocv

    7,463GitHub पर देखें↗

    GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br

    GoCV is a Go binding for OpenCV, giving you programmatic access to a mature image processing ecosystem with high-quality resizing, broad format support, quality-controlled encoding, and optional CUDA/OpenVINO acceleration — it squarely covers the core capabilities and most required features for your image manipulation needs.

    GoColor Space Converters
    GitHub पर देखें↗7,463
  • imagemagick/imagemagickImageMagick का अवतार

    ImageMagick/ImageMagick

    15,742GitHub पर देखें↗

    ImageMagick is a comprehensive software suite for the creation, editing, composition, and conversion of digital images. It functions as both a command-line utility for batch processing and automation, and as a programming library that allows developers to integrate advanced image manipulation capabilities into external applications. The project is distinguished by its modular architecture, which supports hundreds of image formats through a pluggable coder system and external delegate libraries. It is designed for high-performance environments, utilizing memory-mapped pixel caching, stream-ori

    ImageMagick is a comprehensive image processing library that offers extensive format support, high-quality resizing algorithms, and encoding/decoding with quality control, along with a programmatic API in C and bindings for many languages, fully matching the need for programmatic image manipulation.

    CBatch Image ProcessorsCLI Image Processing ToolsFormat Converters
    GitHub पर देखें↗15,742
  • libvips/libvipslibvips का अवतार

    libvips/libvips

    11,085GitHub पर देखें↗

    Libvips is a C-based image processing library designed to manipulate large visual assets through a low-memory, parallel processing pipeline. It functions as a streaming image processor that avoids loading entire files into system memory, enabling the handling of massive images in resource-constrained environments. The library distinguishes itself through a demand-driven architecture that constructs a deferred execution plan, computing only the necessary pixels for a final output. By utilizing a cache-friendly tiled processing model and memory-mapped file access, it minimizes latency and redun

    libvips is a C-based image processing library with a streaming, low-memory pipeline that handles resizing and encoding across many formats (JPEG, PNG, WebP, TIFF, etc.), and it offers SIMD optimizations and language bindings—exactly matching your need for programmatic image manipulation with format support and quality control.

    CHigh-Performance ImageImage ProcessingC-Based Image Engines
    GitHub पर देखें↗11,085
  • lovell/sharplovell का अवतार

    lovell/sharp

    32,340GitHub पर देखें↗

    Sharp is a high-performance image processing library for Node.js. It serves as a native extension and wrapper for the libvips framework, providing tools for image resizing, format conversion, and programmatic data manipulation. The project enables the transformation of images into web-friendly formats such as WebP and AVIF while preserving color profiles and alpha channels. It also provides capabilities for generating blank image buffers with specified dimensions and background colors. The library covers a broad range of image manipulation utilities, including rotation, extraction, compositi

    Sharp is a high-performance Node.js library that wraps libvips for programmatic image resizing and encoding into formats like JPEG, PNG, WebP, and AVIF, making it a direct fit for your need for a programmatic image manipulation library with strong format support and resizing capabilities.

    JavaScriptNode.js Image ProcessingDeferred Execution GraphsImage and Media Processing
    GitHub पर देखें↗32,340
  • python-pillow/pillowpython-pillow का अवतार

    python-pillow/Pillow

    13,637GitHub पर देखें↗

    Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and saving various image file formats. It serves as a multi-format image codec wrapper that enables the reading and writing of diverse standards such as JPEG, PNG, TIFF, and BMP. The library provides tools for programmatic image manipulation, including resizing, cropping, rotating, and transforming visual content through direct pixel data modification. It supports pixel data analysis to extract and modify raw information for custom visual processing and data transformations. The

    Pillow is a full-featured Python image processing library that supports resizing and encoding across many formats with quality control and SIMD optimizations, exactly the kind of programmatic manipulation library this search is after.

    PythonFile and Image HandlingC-Based Image EnginesImage Format Plugins
    GitHub पर देखें↗13,637
  • oliver-moran/jimpoliver-moran का अवतार

    oliver-moran/jimp

    14,621GitHub पर देखें↗

    Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations and edits entirely within a JavaScript environment. It is a zero-dependency image library that operates without requiring native binaries or external system software dependencies. The project provides a programmatic interface for automated image transformations, including resizing, cropping, and filtering. It supports the creation of custom image pipelines and server-side image editing by processing data without relying on native system tools.

    Jimp is a pure JavaScript image processing library for Node.js that provides a programmatic API for resizing, cropping, and filtering images without native dependencies — fitting the search for a library-based image manipulation tool, though it lacks hardware acceleration and streaming support.

    TypeScriptImage ProcessingDependency-Free RuntimesImage Transformation Utilities
    GitHub पर देखें↗14,621
  • nothings/stbnothings का अवतार

    nothings/stb

    33,970GitHub पर देखें↗

    This project is a collection of portable, header-only C functions designed for integration into software projects without complex build dependencies or external linking requirements. It provides a suite of low-level utilities for graphics, audio, and data management, focusing on direct memory manipulation and zero-dependency portability. By utilizing a single-header distribution model, the library simplifies dependency management while allowing developers to maintain full control over memory allocation and binary size through compile-time configuration. The library distinguishes itself by off

    stb provides single-file, header-only C libraries (stbimage, stbimagewrite, stbimage_resize) for decoding, encoding with quality control, and high-quality resizing of common image formats, directly fitting the need for a programmatic image manipulation library.

    CSingle-Header LibrariesText RenderingAudio Processing
    GitHub पर देखें↗33,970
  • justadudewhohacks/opencv4nodejsjustadudewhohacks का अवतार

    justadudewhohacks/opencv4nodejs

    5,045GitHub पर देखें↗

    opencv4nodejs is a set of JavaScript wrappers and a C++ native addon that provides Node.js bindings for the OpenCV library. It functions as a computer vision library and image processing framework, exposing high-performance C++ algorithms to a JavaScript environment. The project enables the execution of vision algorithms for detecting faces, tracking objects, and analyzing visual data using deep neural networks. It includes capabilities for data pattern classification, text pattern recognition, and the identification of facial landmarks and gestures. The framework covers a broad capability s

    opencv4nodejs provides Node.js bindings for the OpenCV library, giving you programmatic access to its comprehensive image processing capabilities including high-quality resizing algorithms, format support, and encoding/decoding with quality control — fitting your need for an image manipulation library with a programmatic API.

    C++Computer Vision LibrariesOpenCV BindingsComputer Vision Frameworks
    GitHub पर देखें↗5,045
  • aheckmann/gmaheckmann का अवतार

    aheckmann/gm

    6,980GitHub पर देखें↗

    gm is a JavaScript image processing library and Node.js manipulation tool that serves as a programmatic wrapper for the GraphicsMagick engine. It translates JavaScript method calls into shell commands to automate the resizing, cropping, and transformation of images. The library provides an interface to execute specific GraphicsMagick operations while allowing raw command passthrough for custom arguments or engine features not covered by the standard API. Its capabilities cover geometric manipulation, color and tone adjustment, and image quality optimization. It includes tools for image compo

    gm is a Node.js wrapper for GraphicsMagick that provides programmatic image resizing and encoding via a JavaScript API, making it a solid fit for image manipulation; it covers key features like format support and asynchronous streaming, though hardware acceleration depends on the underlying engine and is not exposed directly.

    JavaScriptBinary WrappersAsynchronous Process WrappersCommand Line Tool Integrations
    GitHub पर देखें↗6,980
  • nodeca/picanodeca का अवतार

    nodeca/pica

    4,111GitHub पर देखें↗

    Pica is a client-side utility for browser-based image scaling, format transformation, and file optimization. It functions as a canvas image processor that transforms data between canvas elements, bitmaps, and blobs for local manipulation within the web browser. The library distinguishes itself through high-quality downscaling using Lanczos resampling and a multi-threaded processing model. It utilizes web workers to split image processing into tiles across CPU cores to increase resizing speed. The project covers a broad range of image manipulation capabilities, including high-quality scaling

    Pica is a focused image resizing library for the browser that delivers high-quality results and near-native speed via WebAssembly, but it does not handle encoding to various formats or quality control, making it a narrower fit for a general-purpose image processing library.

    TypeScriptBrowser-Based Image ProcessingCanvas-Based Image ProcessorsClient-Side Image Processing
    GitHub पर देखें↗4,111
  • janko/image_processingjanko का अवतार

    janko/image_processing

    939GitHub पर देखें↗

    This project is a modular image manipulation framework and processing pipeline library designed for Ruby applications. It provides a programmable interface for executing complex image transformations, including resizing, cropping, rotating, and compositing, while managing file input and output parameters. The library distinguishes itself through a fluent, chainable interface that allows developers to construct sophisticated processing workflows by linking modular operations together. It functions as an image transformation engine that delegates heavy lifting to external native binary tools, e

    This is a Ruby library for image processing that wraps high-quality backends like ImageMagick and libvips, giving you resizing and encoding capabilities, though it's limited to Ruby bindings and doesn't explicitly expose streaming or hardware acceleration.

    RubyImage Manipulation ToolkitsImage Processing and ManipulationCustom Processing Pipelines
    GitHub पर देखें↗939
  • intervention/imageIntervention का अवतार

    Intervention/image

    14,345GitHub पर देखें↗

    Intervention Image is a PHP image processing library designed for editing and manipulating image assets. It functions as an abstraction layer that provides a simplified interface for performing programmatic visual adjustments and compositions. The project utilizes a driver-based architecture that allows for switching between different underlying image processing engines without requiring changes to the application logic. This abstraction extends to the handling of animated image formats, enabling the manipulation of frames and properties across various processing drivers. The library covers

    Intervention Image is a PHP image processing library that provides a unified API for resizing and encoding images via GD and Imagick backends, covering format support and quality control, but it lacks streaming and explicit hardware acceleration, making it a solid match within its language ecosystem.

    PHPImage Editing and ProcessingAnimatedAnimated Image Manipulation
    GitHub पर देखें↗14,345
  • jimp-dev/jimpjimp-dev का अवतार

    jimp-dev/jimp

    14,621GitHub पर देखें↗

    Jimp is a zero-dependency JavaScript image processing library and programmatic editor designed for manipulating, resizing, and filtering images in Node.js. It functions as a multi-format image encoder and extensible pipeline that operates entirely in JavaScript to ensure portable deployment across different environments without requiring native system dependencies. The engine features a modular architecture that allows for custom image processor builds and the registration of custom processing plugins. This extensibility enables the addition of specific visual effects and custom file-type enc

    Jimp is a zero-dependency JavaScript image processing library for Node.js that supports resizing and multi-format encoding/decoding via a programmatic API, making it a solid fit for programmatic image manipulation even though it lacks native hardware acceleration or streaming optimizations.

    TypeScriptImage Manipulation ToolkitsPure JavaScript ImplementationsImage Cropping Tools
    GitHub पर देखें↗14,621
टॉप 10 की एक नज़र में तुलना करें
रिपॉजिटरीस्टार्सभाषालाइसेंसअंतिम पुश
sixlabors/imagesharp8KC#other19 फ़र॰ 2026
hybridgroup/gocv7.5KGoNOASSERTION28 मई 2026
imagemagick/imagemagick15.7KCother19 फ़र॰ 2026
libvips/libvips11.1KClgpl-2.120 फ़र॰ 2026
lovell/sharp32.3KJavaScriptApache-2.016 जून 2026
python-pillow/pillow13.6KPythonNOASSERTION23 जून 2026
oliver-moran/jimp14.6KTypeScriptMIT7 अप्रैल 2026
nothings/stb34KCNOASSERTION15 अप्रैल 2026
justadudewhohacks/opencv4nodejs5KC++MIT18 अप्रैल 2023
aheckmann/gm7KJavaScript—25 फ़र॰ 2025

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