Software Alternatives & Reviews

Apple Core ML VS Xano

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

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Xano logo Xano

Xano is the fastest way to build a scalable backend for your App using No Code.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Xano Landing page
    Landing page //
    2023-10-19

Apple Core ML videos

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

Xano videos

Xano Review Why NoCode Developers Should Care

More videos:

  • Review - AppGyver + Xano | 8 Things You Must Know Before Using Xano as a Backend | No Code App Development
  • Review - Backendless vs Xano | Backend Database for No Code Apps

Category Popularity

0-100% (relative to Apple Core ML and Xano)
Developer Tools
50 50%
50% 50
AI
63 63%
37% 37
Productivity
0 0%
100% 100
APIs
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than Xano. 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 / 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: 12 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
View more

Xano mentions (2)

What are some alternatives?

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

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

BuildShip - Low-code Visual Backend builder, powered by AI

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

zeroqode - Build your app up to 10x faster with no-code app templates

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

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.