Search Results for "images"
Sort By:
Showing 771 open source projects for "images"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
1
Images.jl
An image library for Julia
JuliaImages (source code) hosts the major Julia packages for image processing. Julia is well-suited to image processing because it is a modern and elegant high-level language that is a pleasure to use, while also allowing you to write "inner loops" that compile to efficient machine code (i.e., it is as fast as C). Julia supports multithreading and, through add-on packages, GPU processing. JuliaImages is a collection of packages specifically focused on image processing. It is not yet as... -
2
GitHub Actions Runner Images
GitHub Actions runner images
This repository contains the source code used to create the VM images for GitHub-hosted runners used for Actions, as well as for Microsoft-hosted agents used for Azure Pipelines. To build a VM machine from this repo's source, see the instructions. -
3
Docker images for Selenium Grid Server
Docker images for the Selenium Grid Server
Grid 4 has the ability to start Docker containers on-demand, this means that it starts a Docker container in the background for each new session request, the test gets executed there, and when the test completes, the container gets thrown away. This execution mode can be used either in the Standalone or Node roles. The "dynamic" execution mode needs to be told what Docker images to use when the containers get started. Additionally, the Grid needs to know the URI of the Docker daemon. If you want to scale by distributing and running tests on several machines and manage multiple environments from a central point, making it easy to run the tests against a vast combination of browsers/OS, then you want to use Selenium Grid. ... -
4
GC Build official builder images
Builder images and examples commonly used for Google Cloud Build
GC Build official builder images is a repository that provides a collection of prebuilt and customizable container images used with Google Cloud Build to automate CI/CD pipelines. These builder images act as modular steps within build pipelines, allowing developers to perform tasks such as compiling code, running tests, building Docker images, and deploying applications. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
AWS CodeBuild curated Docker images
AWS CodeBuild repository for managed Docker images
...When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported repository type. These include the CodeBuild Docker image repository, publicly available images in Docker Hub, and Amazon Elastic Container Registry (Amazon ECR) repositories that your AWS account has permission to access. We recommend that you use Docker images stored in the CodeBuild Docker image repository, because they are optimized for use with the service. -
6
MarkText
A simple and elegant markdown editor
...Support paragraphs and inline style shortcuts to improve your writing efficiency. Output HTML and PDF files. Various themes: Cadmium Light, Material Dark etc. Various editing modes: Source Code mode, Typewriter mode, Focus mode. Paste images directly from clipboard. -
7
bild
Image processing algorithms in pure Go
...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. -
8
Cowart
Local infinite canvas plugin for Codex
Cowart is a local infinite-canvas plugin designed specifically for Codex-powered creative workflows. Built on top of tldraw, it provides a visual workspace where users can brainstorm ideas, annotate images, generate new artwork, and iterate on existing visuals through AI-assisted editing. The canvas runs as a local web service and stores project data directly inside the user's workspace rather than in the plugin repository, making it suitable for project-centric workflows. Cowart enables Codex to interact with the canvas through MCP tools that can read selections, insert generated images, and manage local assets. ... -
9
Packer
Build Automated Machine Images
...It is designed to create any type of machine image for multiple platforms from a single source configuration. Lightweight yet modern, Packer encourages the use of automated scripts to install and configure the software within your Packer-made images. It is highly performant, able to run on every major operating system and create machine images for several platforms in parallel. Packer supports a great number of platforms out of the box, and support for other platforms can be added through plugins. Any image it creates can also be easily turned into Vagrant boxes. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
Jupyter Docker Stacks
Ready-to-run Docker images containing Jupyter applications
Jupyter Docker Stacks provides a curated set of ready-to-run Docker container images that bundle Jupyter applications with popular data science and computing tools, enabling users to quickly start working in a reproducible environment. These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. ... -
11
Kingfisher
Lightweight, pure-Swift library for downloading images from the web
...Cancelable downloading and auto-reusing previous downloaded content to improve performance. Independent components. Use the downloader, caching system, and image processors separately as you need. Prefetching images and showing them from the cache to boost your app. View extensions for UIImageView, NSImageView, NSButton and UIButton to directly set an image from a URL. Built-in transition animation when setting images. Customizable placeholder and indicator while loading images. -
12
pixelmatch
The smallest, simplest JavaScript pixel-level image comparison library
...Unlike these libraries, pixelmatch is around 150 lines of code, has no dependencies, and works on raw typed arrays of image data, so it's blazing fast and can be used in any environment (Node or browsers). Compares two images, writes the output diff and returns the number of mismatched pixels. -
13
ComfyUI SUPIR
SUPIR upscaling wrapper for ComfyUI
The ComfyUI-SUPIR project is a ComfyUI integration of the SUPIR model, which is designed for high-quality image restoration and super-resolution. It enables users to enhance low-resolution or degraded images using advanced diffusion-based techniques. The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. The project leverages modern generative models to produce sharp, detailed outputs while preserving the original structure of the image. ... -
14
Production-ready Docker PHP
Production-ready Docker images for PHP. Optimized for Laravel
serversideup/php is an optimized set of Docker Images for running PHP applications in production. Everything is designed around improving the developer experience with PHP and Docker. Gone are the days of configuring each environment differently, and gone are the days of trying to figure out why your code works in one environment and not the other. These images are highly optimized to run modern PHP applications, no matter where you want your application to run. -
15
Jupyter Notebook
Jupyter Interactive Notebook
...And Notebook documents, which are a representation of all content visible in the web application, including inputs and outputs of the computations, explanatory text, mathematics, images, and rich media representations of objects. Notebook documents contain the inputs and outputs of a interactive session as well as additional text that accompanies the code but is not meant for execution. -
16
ImageMagick
ImageMagick 7
ImageMagick® is a free, open-source software suite, used for editing and manipulating digital images. It can be used to create, edit, compose, or convert bitmap images, and supports a wide range of file formats, including JPEG, PNG, GIF, TIFF, and PDF. ImageMagick is widely used in industries such as web development, graphic design, and video editing, as well as in scientific research, medical imaging, and astronomy. Its versatile and customizable nature, along with its robust image processing capabilities, make it a popular choice for a wide range of image-related tasks. ... -
17
mediapy
This Python library makes it easy to display images and videos
Read/write/show images and videos in an IPython/Jupyter notebook. -
18
Django Filer
File and Image Management Application for django
django Filer is a file management application for django that makes handling files and images a breeze. django-filer is a file management application for django. It handles uploading and organizing files and images in contrib.admin. Custom model fields are provided for use in 3rd party apps as a replacement for the default FileField from django. Behind the scenes a ForeignKey to the File model is used. It is possible to define the important part of an image (the subject location) in the admin interface for django-filer images. ... -
19
Peinture
A general-purpose AI image generation framework that supports HF
...Instead of tying users to a single service, Peinture integrates multiple backend providers, including Hugging Face, Gitee AI, Model Scope, and others, so you can switch between models or extend support to custom endpoints — giving you flexibility over where and how your images are generated. It not only generates images from prompts but also includes tools to edit those images after creation, with features like selection tools and reference image support that let you refine artwork in place. The interface supports live motion edits that turn static images into short cinematic clips, prompt enhancement for expanding simple ideas into detailed scenes, and a cloud-friendly storage system that syncs work across devices if configured. -
20
Scrimage
JVM - Java, Kotlin, Scala image processing library
Scrimage is an immutable, functional, and performant JVM library for the manipulation of images. The aim of this library is to provide a simple and concise way to do common image operations, such as resizing to fit a required width and height, converting between formats, applying filters, and so on. It is easy to use from any language on the JVM. A typical use case for this library would be creating thumbnails of images uploaded by users in a web app, bounding a set of product images so that they all have the same dimensions, optimizing PNG uploads by users to apply maximum compression, or applying a grayscale filter in a print application. -
21
Go Container Registry
Go library and CLIs for working with container registries
go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. -
22
Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. ... -
23
Public Image Mirror
Many images are hosted overseas, such as GCR
The DaoCloud Public Image Mirror project provides a stable and efficient container image acceleration service designed to improve download speeds in regions where access to global registries is slow, such as China. Many popular registries like Docker Hub, GCR, and GHCR are located overseas, often causing significant delays when pulling images. This project solves the problem by offering mirrored registries with consistent image hashes and real-time synchronization. It uses a lazy-loading mechanism, caching image layers in third-party object storage, ensuring that frequently used images are delivered faster. The system is simple to use, requiring only a prefix replacement to pull images from the mirror instead of the original registry. ... -
24
Bazel Container Image Rules
Rules for building and handling Docker images with Bazel
This repository contains a set of rules for pulling down base images, augmenting them with build artifacts and assets, and publishing those images. These rules do not require / use Docker for pulling, building, or pushing images. These rules used to be docker_build, docker_push, etc. and the aliases for these (mostly) legacy names still exist largely for backwards-compatibility. We also have early-stage oci_image, oci_push, etc. aliases for folks that enjoy the consistency of a consistent rule prefix. ... -
25
Harbor
An open source trusted cloud native registry project that stores
...Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity and management. Having a registry closer to the build-and-run environment can improve the image transfer efficiency. Harbor supports replication of images between registries, and also offers advanced security features such as user management, access control and activity auditing. Harbor is hosted by the Cloud Native Computing Foundation (CNCF). If you are an organization that wants to help shape the evolution of cloud native technologies, consider joining the CNCF. Cloud native registry: With support for both container images and Helm charts, Harbor serves as registry for cloud native environments like container runtimes and orchestration platforms.
