IMGHaste vs Onepanel

Overview

IMGHaste

Stacks2

Followers2

Votes0

Onepanel

Stacks0

Followers4

Votes0

Onepanel vs IMGHaste: What are the differences?

Developers describe Onepanel as "Production scale, Kubernetes-native vision AI platform". It is a unified vision AI platform with fully integrated modules for model building, semi-automated labeling, training, pipelines and model serving. On the other hand, IMGHaste is detailed as "Image Optimization Service". It is a cloud based image optimization tool suitable for web apps and mobile applications It uses a Service Worker working underneath your browser optimizing your images based on Client Hints..

Onepanel and IMGHaste can be primarily classified as "Image Processing and Management" tools.

Some of the features offered by Onepanel are:

Image and video annotation with automatic annotation
JupyterLab with TensorFlow, PyTorch and GPU support
Auto scaling, distributed and parallel data processing and training pipelines

On the other hand, IMGHaste provides the following key features:

No URL Rewrite
Service Worker
SEO Friendly

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

IMGHaste	Onepanel
It is a cloud based image optimization tool suitable for web apps and mobile applications. It uses a Service Worker working underneath your browser optimizing your images based on Client Hints.	It is a unified vision AI platform with fully integrated modules for model building, semi-automated labeling, training, pipelines and model serving.
No URL Rewrite; Service Worker; SEO Friendly; Fast CDN delivery with advanced caching; Powerful dashboard; Real Time reports; Integration SDKs; Automatic image optimization	Image and video annotation with automatic annotation; JupyterLab with TensorFlow, PyTorch and GPU support; Auto scaling, distributed and parallel data processing and training pipelines; Version controlled pipelines and environments as code
Statistics
Stacks 2	Stacks 0
Followers 2	Followers 4
Votes 0	Votes 0
Integrations
No integrations available	Kubernetes TensorFlow PyTorch

What are some alternatives to IMGHaste, Onepanel?

Cloudinary

Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

The universal multimedia toolkit.

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.