Software Alternatives, Accelerators & Startups

Teammate VS Apple Core ML

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

Teammate logo Teammate

Find or organize pick up games and team sports

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Teammate Landing page
    Landing page //
    2021-10-13
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Teammate videos

TeamMate AM - How to Create a Replica for Third Party Review via TeamEWP Reader

More videos:

  • Review - Should you Buy Ghost Recon Breakpoint (WITH AI TEAMMATES) in 2020?
  • Review - How my teammate review 😂😂team work🤣

Apple Core ML videos

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

Category Popularity

0-100% (relative to Teammate and Apple Core ML)
Governance, Risk And Compliance
Developer Tools
0 0%
100% 100
Security & Privacy
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 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.

Teammate mentions (0)

We have not tracked any mentions of Teammate yet. Tracking of Teammate 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 / 3 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 / 5 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: about 1 year 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 / about 1 year 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: almost 3 years ago
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What are some alternatives?

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

AuditBoard - AuditBoard is a platform that offers compliance and audit management that allows auditors to analyze, manage, and report the business operations.

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

ERP Maestro - The best cloud SAP GRC and SoD solutions , giving companies automated access control tools for audit, compliance, risk management and security.

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

SAI360 - GRC Platforms

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