Angular 2 Image Gallery VS pigo

Compare Angular 2 Image Gallery vs pigo and see what are their differences.

Angular 2 Image Gallery

Image Gallery built with Angular 17+, node.js and GraphicsMagick (by BenjaminBrandmeier)

pigo

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. (by esimov)
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Angular 2 Image Gallery pigo
- 7
307 4,293
- -
5.7 1.4
5 months ago 6 months ago
TypeScript Go
MIT License 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.

Angular 2 Image Gallery

Posts with mentions or reviews of Angular 2 Image Gallery. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Angular 2 Image Gallery yet.
Tracking mentions began in Dec 2020.

pigo

Posts with mentions or reviews of pigo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

What are some alternatives?

When comparing Angular 2 Image Gallery and pigo you can also consider the following projects:

steganography - Pure Golang Library that allows LSB steganography on images using ZERO dependencies

go-gd - Go bingings for GD (http://www.boutell.com/gd/)

bild - Image processing algorithms in pure Go

gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

goimagehash - Go Perceptual image hashing package

gg - Go Graphics - 2D rendering in Go with a simple API.

go-nude - Nudity detection with Go.

go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv

image2ascii - :foggy: Convert image to ASCII

imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing