Software Alternatives, Accelerators & Startups

SwiftUI Inspector VS Lobe

Compare SwiftUI Inspector VS Lobe and see what are their differences

SwiftUI Inspector logo SwiftUI Inspector

Export your designs to SwiftUI code

Lobe logo Lobe

Visual tool for building custom deep learning models
  • SwiftUI Inspector Landing page
    Landing page //
    2021-09-29
  • Lobe Landing page
    Landing page //
    2021-09-20

SwiftUI Inspector features and specs

  • Ease of Use
    SwiftUI Inspector offers a user-friendly interface that simplifies the process of designing and previewing SwiftUI layouts without the need for extensive coding knowledge.
  • Time-Saving
    The tool helps streamline the development process by allowing designers and developers to prototype SwiftUI interfaces quickly, reducing the time spent on coding the layout manually.
  • Real-time Previews
    Offers real-time preview capabilities, enabling users to see the results of their design changes instantly, which facilitates iterative design and testing.
  • Educational Tool
    Acts as a learning tool for beginners in SwiftUI by providing insights into how code translates into visual elements and vice versa.

Possible disadvantages of SwiftUI Inspector

  • Limited Customization
    While the tool provides a broad range of options, it might not support all custom SwiftUI capabilities, limiting advanced users who require more complex functionalities.
  • Dependency on Updates
    The effectiveness of the tool relies on regular updates to keep up with SwiftUI's evolving APIs and features; lack of updates can make the tool obsolete.
  • Learning Curve for New Users
    Users who are entirely new to SwiftUI or design tools might find the interface overwhelming at the start, requiring a learning period to understand all functionalities.
  • Integration Capabilities
    Might have limitations when it comes to integrating directly into complex existing Swift projects, potentially necessitating manual adjustments or refactoring.

Lobe features and specs

  • User-Friendly Interface
    Lobe offers an intuitive, drag-and-drop interface that makes it accessible for users without a technical background in machine learning.
  • No Coding Required
    Users can build and train machine learning models without needing to write any code, which democratizes the use of AI technology.
  • Integration with Popular Tools
    Lobe can easily integrate with other Microsoft tools and services, enhancing its utility and versatility for users already within the ecosystem.
  • Fast Prototyping
    The platform allows for rapid prototyping, enabling users to quickly test and iterate their machine learning models.
  • Visual Model Training
    Users can see a visual representation of their model's training process, making it easier to understand and refine their models.

Possible disadvantages of Lobe

  • Limited Customization
    Due to its no-code nature, Lobe may not offer the same level of customization and fine-tuning that advanced users might need.
  • Cloud Dependency
    The platform relies heavily on the cloud for its operations, which may raise concerns regarding data privacy and security.
  • Lack of Advanced Features
    More advanced machine learning features and capabilities might be missing, limiting its use for complex projects.
  • Performance Constraints
    The platform may not be optimized for handling very large datasets or extremely complex models, which can affect performance.
  • Vendor Lock-in
    As a Microsoft service, users might find it challenging to move their projects to other platforms without significant rework.

SwiftUI Inspector videos

SwiftUI Inspector Plugin for Figma

Lobe videos

No Lobe videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to SwiftUI Inspector and Lobe)
Developer Tools
26 26%
74% 74
AI
13 13%
87% 87
Hardware
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Lobe seems to be more popular. It has been mentiond 15 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.

SwiftUI Inspector mentions (0)

We have not tracked any mentions of SwiftUI Inspector yet. Tracking of SwiftUI Inspector recommendations started around Mar 2021.

Lobe mentions (15)

  • Build end-to-end AI Apps in minutes using just your phone.
    This is interesting. The closest I can compare it to is lobe.ai. Source: over 2 years ago
  • When is Lobe Image Classifying coming
    Lobe.ai says object detection is coming soon. Source: over 2 years ago
  • lobe.ai. new version
    I need urgent help please!!! I've just installed the new Version of lobe.ai on my MAC and now, after it has finished, the prediction rate has decreased from more than 90% to 50% :-( :-(. Source: almost 3 years ago
  • Camera Works for "Label" But Not for "Use"
    Using lobe.ai 0.10.1130.5 I successfully trained using my Webcam Logitech C920. The camera turned live, and I could take individual and rapid-snap photos. But after proceeding to 'Use', the camera button does show, but nothing happens when I press it, not does hovering raise a floating menu. What am I doing wrong? Source: about 3 years ago
  • Rasp Pi OS Bullseye has dropped support of PiCamera - breaks Lobe on Rasp P
    I'm having similar AttributeError . Wondering if this is due to the recent version changes in lobe.ai? Source: over 3 years ago
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What are some alternatives?

When comparing SwiftUI Inspector and Lobe, you can also consider the following products

Swift AI - Artificial intelligence and machine learning library written in Swift.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

A Best-in-Class iOS App - Master accessibility, design, user experience and iOS APIs

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

SwiftHub - GitHub iOS client in RxSwift and MVVM-C clean architecture

Apple Machine Learning Journal - A blog written by Apple engineers