Open Source Go Graphics Software
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Go Graphics Software
View 5023 business solutionsBrowse free open source Go Graphics Software and projects below. Use the toggles on the left to filter open source Go Graphics Software by OS, license, language, programming language, and project status.
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SwiftShader
SwiftShader is a high-performance CPU-based implementation
SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable. It acts as a drop-in replacement for Vulkan drivers, allowing existing applications to run seamlessly by redirecting API calls through its software-based rendering engine. The project supports Windows, Linux, macOS, Android, and ChromeOS, offering broad cross-platform compatibility. SwiftShader’s design emphasizes both performance and compliance, enabling robust software rendering for testing, virtualization, and cloud-based graphics workloads. -
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PhotoPrism
AI-Powered Photos App for the Decentralized Web 🌈💎✨
PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. Our mission is to provide the most user- and privacy-friendly solution to keep your pictures organized and accessible. That's why PhotoPrism was built from the ground up to run wherever you need it, without compromising freedom, privacy, or functionality. -
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ascii-image-converter
A cross-platform command-line tool to convert images into ascii art
ascii-image-converter is a command-line tool that converts images into ASCII art and prints them out onto the console. Available on Windows, Linux, and macOS. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand. -
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gowitness
Golang, web screenshot utility using Chrome Headless
A golang, web screenshot utility using Chrome Headless. gowitness is a website screenshot utility written in Golang, that uses Chrome Headless to generate screenshots of web interfaces using the command line, with a handy report viewer to process results. Both Linux and macOS is supported, with Windows support mostly working. Inspiration for gowitness comes from Eyewitness. If you are looking for something with lots of extra features, be sure to check it out along with these other projects. For installation information and other documentation, please refer to the wiki. The primary of purpose that gowitness serves is to take screenshots of websites and do that well. As such, gowitness has many ways to be told how to take a screenshot. By default, gowitness will store screenshots in a screenshots/ directory in the path where gowitness is being run from. It will also store all of the preflight information (initial HTTP response which includes headers & TLS information). -
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Amazon EC2 Metadata Mock
A tool to simulate Amazon EC2 instance metadata
Instance metadata is data about your instance that you can use to configure or manage the running instance. Instance metadata is divided into categories, for example, hostname, events, and security groups. You can also use instance metadata to access user data that you specified when launching your instance. For example, you can specify parameters for configuring your instance, or include a simple script. You can build generic AMIs and use user data to modify the configuration files supplied at launch time. For example, if you run web servers for various small businesses, they can all use the same generic AMI and retrieve their content from the Amazon S3 bucket that you specify in the user data at launch. To add a new customer at any time, create a bucket for the customer, add their content, and launch your AMI with the unique bucket name provided to your code in the user data. If you launch more than one instance at the same time, the user data is available to all instances. -
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Rendora
dynamic server-side rendering using headless Chrome
Rendora is a dynamic renderer to provide zero-configuration server-side rendering mainly to web crawlers in order to effortlessly improve SEO for websites developed in modern Javascript frameworks such as React.js, Vue.js, Angular.js, etc. Rendora works totally independently of your frontend and backend stacks. Rendora can be seen as a reverse HTTP proxy server sitting between your backend server (e.g. Node.js/Express.js, Python/Django, etc...) and potentially your frontend proxy server (e.g. nginx, traefik, apache, etc...) or even directly to the outside world that does actually nothing but transporting requests and responses as they are except when it detects whitelisted requests according to the config. In that case, Rendora instructs a headless Chrome instance to request and render the corresponding page and then return the server-side rendered page back to the client (i.e. the frontend proxy server or the outside world). -
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GoCity
Code City metaphor for visualizing Go source code in 3D
GoCity is an implementation of the Code City metaphor for visualizing Go source code. The UI is built with React and uses babylon.js to plot 3D structures. The front-end source code is available in the front-end branch. The Number of Lines of Source Code (LOC) represents the build color (high values makes the building dark) The Number of Variables (NOV) correlates to the building's base size. The Number of methods (NOM) correlates to the building height. -
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Pixelizer
An efficient image pixelizer written in go
Pixelizer is a command-line tool written in Go that transforms images into pixelated versions. Designed for simplicity and efficiency, it allows users to apply pixelation effects with customizable parameters directly from the terminal. Pixelizer supports various output options, including animated GIFs and ANSI-rendered previews, making it a versatile tool for developers and artists working with pixel art. -
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imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. Optional protections include API tokens, signed URLs, CORS, concurrency throttling, and fallback placeholder images. Docker and cloud deployment options make it suitable for distributed services. It supports common formats such as JPEG, PNG, WebP, and HEIF, with additional formats available through libvips builds. -
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Simple-PNG-2-ICON-Convert
Windows GUI desktop for convert PNG to ICON files
This is a simple Windows UI desktop program that does not require installation and runs locally. It currently supports PNG to ICON file conversion. Other image formats will be added later. -
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Primitive Pictures
Reproducing images with geometric primitives
Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape. Over time (e.g., adding 50-200 shapes) the output becomes an abstracted version of the input image—recognizable, artistic, and often visually striking. The tool supports input resizing, different shape modes (triangle, rectangle, circle, bezier, polygon), alpha blending, and can output PNG, JPG, SVG, or even animated GIFs that show the incremental build process. Because the Go code is self-contained and efficient, users can run it locally on images, script batch runs, or use it to generate “primitive art” or stylized thumbnails. -
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bild
Image processing algorithms in pure Go
A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs. -
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imagor
Fast, secure image processing server and Go library, using libvips
Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency. -
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Simple-HEIC-Convert
Windows GUI desktop app for convert HEIC to PNG and JPEG
This is a windows x64 GUI reference program that can convert HEIC file formats to PNG or JPEG, and supports multi-task conversion. It is an offline free program. No need to install, just run it directly.
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