gogallery VS Lychee

Compare gogallery vs Lychee and see what are their differences.

gogallery

Static Site generator but for images. Its like Hugo but for large photo galleries (by robrotheram)

Lychee

A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos. (by electerious)
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gogallery Lychee
5 19
129 6,316
- -
6.5 0.0
25 days ago over 2 years ago
JavaScript PHP
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gogallery

Posts with mentions or reviews of gogallery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-01.
  • Yet another "photo gallery/management" question
    2 projects | /r/selfhosted | 1 Nov 2022
  • I used generics and I like them
    1 project | /r/golang | 25 Aug 2022
    I only used in one place https://github.com/robrotheram/gogallery/blob/master/server/pipeline/batch.go I needed to do a bunch of batch processing where I have a slice of about 1000 images and split that into equal work for all CPU cores Its then only used here https://github.com/robrotheram/gogallery/blob/master/server/pipeline/Render.go where I define what work that needs to do. I found that it was rather neat to just have that one struct doing the work instead of having routines and channels for basically the same work. Have a list of stuff and run a function over it in parallel of the number of cores on my pc
  • I wrote my own Static Site Generator for image galleries
    2 projects | /r/selfhosted | 25 Aug 2022
    Anyhow for anyone else interested the code is here: https://github.com/robrotheram/gogallery my demo site: https://gallery.exceptionerror.io
  • Journey of doing Image Classification with Go and TensorFlow
    1 project | /r/golang | 26 Oct 2021
    looking at your profile I discovered https://github.com/robrotheram/gogallery/

Lychee

Posts with mentions or reviews of Lychee. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-16.

What are some alternatives?

When comparing gogallery and Lychee you can also consider the following projects:

simple-react-lightbox - A simple but functional light-box for React.

PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨

gatsby-simplefolio - ⚡️ A minimal Gatsby portfolio template for Developers

Piwigo - Manage your photos with Piwigo, a full featured open source photo gallery application for the web. Star us on Github! More than 200 plugins and themes available. Join us and contribute!

react-gallery-carousel - Carousel component 🎠 supporting touch, mouse, keyboard, thumbnails, fullscreen, lazy loading, SSR and customisations. 💻 Live editor: https://yifanai.com/rgcd1

Zenphoto - The Zenphoto open-source gallery and CMS project

react-image-gallery - React carousel image gallery component with thumbnail support 🖼

librephotos - A self-hosted open source photo management service. This is the repository of the backend.

react-awesome-slider - React content transition slider. Awesome Slider is a 60fps, light weight, performant component that renders an animated set of production ready UI general purpose sliders with fullpage transition support for NextJS and GatsbyJS. 🖥️ 📱

Chevereto Free - Community/Personal Image Hosting

PiGallery 2 - A fast directory-first photo gallery website, with rich UI, optimized for running on low resource servers (especially on raspberry pi)

Photonix - A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.