Software Alternatives & Reviews

Pigment VS Apple Core ML

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

Pigment logo Pigment

The all-in-one business planning platform for finance and revenue teams to plan & forecast your business in real-time, model scenarios and make better decisions

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Pigment Landing page
    Landing page //
    2023-08-24
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Pigment videos

Pigment App Review

More videos:

  • Review - 1 MONTH PRODUCT REVIEW | NIOD RE:Pigment Serum for Hyperpigmentation
  • Tutorial - Pigmentation Routine Tips and Tricks & Eucerin Anti Pigment Dual Serum Review and How to Use

Apple Core ML videos

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

Category Popularity

0-100% (relative to Pigment and Apple Core ML)
Business Intelligence
100 100%
0% 0
Developer Tools
0 0%
100% 100
Business Planning
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than Pigment. 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.

Pigment mentions (1)

  • Best FP&A tool
    No best option, but you should also consider Pigment (gopigment.com). Source: 10 months ago

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
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What are some alternatives?

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

Cube Software - Turn insights into impact. Break free from clunky financial analysis tools. Say hello to a flexible, scalable FP&A solution.

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Anaplan - Planning & performance management platform

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