Software Alternatives & Reviews

Apple Core ML VS Monitor ML

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

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Monitor ML logo Monitor ML

Real-time production monitoring of ML models, made simple.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Monitor ML Landing page
    Landing page //
    2021-10-12

Apple Core ML

Categories
  • Developer Tools
  • AI
  • APIs
  • Software Engineering
Website developer.apple.com

Monitor ML

Categories
  • Developer Tools
  • AI
  • APIs
  • Tech
Website monitorml.com

Apple Core ML videos

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

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Category Popularity

0-100% (relative to Apple Core ML and Monitor ML)
Developer Tools
51 51%
49% 49
AI
50 50%
50% 50
Data Science And Machine Learning
Tech
0 0%
100% 100

User comments

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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.

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 / 24 days 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 / 3 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: 10 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 / 11 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
View more

Monitor ML mentions (0)

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

What are some alternatives?

When comparing Apple Core ML and Monitor 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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

ML5.js - Friendly machine learning for the web

Qualdo™ - Monitor mission-critical data quality & ML issues and drifts

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