Software Alternatives & Reviews

SIMON VS Apple Core ML

Compare SIMON VS Apple Core ML and see what are their differences

SIMON logo SIMON

Powerful machine learning knowledge discovery platform

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • SIMON Landing page
    Landing page //
    2023-08-27

SIMON is powerful, flexible, open-source and easy to use machine learning software. Home for all your knowledge discovery questions!

  • Apple Core ML Landing page
    Landing page //
    2023-06-13

SIMON

$ Details
freemium
Platforms
Windows Mac OSX Linux Cross Platform PHP Web Docker
Release Date
2019 August

Apple Core ML

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

SIMON videos

Love, Simon - Movie Review

More videos:

  • Review - Love, Simon - Movie Review
  • Review - [REVIEW] Simon Micro, memory game

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to SIMON and Apple Core ML)
AI
37 37%
63% 63
Developer Tools
23 23%
77% 77
Data Science And Machine Learning
APIs
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SIMON and Apple Core ML

SIMON Reviews

  1. 👍 Pros:    Advanced features|Automation|Advanced drawing tools|Accurate|Scalable

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SIMON mentions (0)

We have not tracked any mentions of SIMON yet. Tracking of SIMON recommendations started around Mar 2021.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / about 2 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 11 months ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 12 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
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What are some alternatives?

When comparing SIMON and Apple Core ML, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

TensorFlow Lite - Low-latency inference of on-device ML models

Xano - Xano is the fastest way to build a scalable backend for your App using No Code.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

Mateverse by Mate Labs - Build Machine Learning models without a single line of code