Software Alternatives, Accelerators & Startups

Flagsmith VS Apple Core ML

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

Flagsmith logo Flagsmith

Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
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Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Flagsmith Landing page
    Landing page //
    2021-10-23
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Flagsmith features and specs

  • Feature Flags: Yes
  • Remote Config: Yes
  • A/B/X Testing & Optimization: Yes
  • Organization Management: Yes
  • Integrations: Yes

Apple Core ML features and specs

No features have been listed yet.

Flagsmith videos

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Apple Core ML videos

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

Category Popularity

0-100% (relative to Flagsmith and Apple Core ML)
Developer Tools
93 93%
7% 7
Feature Flags
100 100%
0% 0
AI
0 0%
100% 100
A/B Testing
100 100%
0% 0

User comments

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Reviews

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

Flagsmith Reviews

The 8 best free and open-source feature flag services
BlogBackSign inBlogThe 8 best free and open-source feature flag servicesPosted byThe best open-source feature flag tools1. PostHogWhat is PostHog?Supported librariesHow much does it cost?2. UnleashWhat is Unleash?Supported SDKsHow much does it cost?3. GrowthBookWhat is GrowthBook?Supported SDKsHow much does it cost?4. FlagsmithWhat is Flagsmith?Supported SDKsHow much does it...
Source: posthog.com

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, Flagsmith should be more popular than Apple Core ML. It has been mentiond 13 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.

Flagsmith mentions (13)

  • Why use Open Source Feature Flags?
    Considering all these points, the team at Flagsmith has developed a feature flag management platform Flagsmith and made it open source. The core functionality is open and you can check out the GitHub repository here. I have utilized and authored several blogs discussing their excellent offerings and strategies. - Source: dev.to / 2 months ago
  • free-for.dev
    Flagsmith - Release features with confidence; manage feature flags across web, mobile, and server side applications. Use our hosted API, deploy to your own private cloud, or run on-premise. - Source: dev.to / over 1 year ago
  • Which startups are made using Django?
    Flagsmith is written in Django and is open source as well: https://flagsmith.com. Source: almost 2 years ago
  • The actual infrastructure costs of running SaaS at scale (billions of requests/month)
    Before we dive in, one important call-out: We provide our feature management product to customers in three ways depending on how they want to have it managed: Fully Managed SaaS API, Fully Managed Private Cloud SaaS API and Self-Hosted. The infrastructure costs that we are sharing is for our customers that leverage our Fully Managed SaaS API offering (try it free: https://flagsmith.com/) which represents a portion... - Source: dev.to / about 2 years ago
  • The Story Behind Our Open Source Ecommerce Platform with +9,000 GH stars in 6 months
    On March 15th, Sebastian Rindom, the CEO & Co-founder of Medusa, did an interview with Flagsmith where he talked about how Medusa started, why create a headless commerce solution, why make it open-source, and more. - Source: dev.to / about 2 years ago
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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 / 4 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 Flagsmith and Apple Core ML, you can also consider the following products

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

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

Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.

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