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Keras VS Dash for macOS

Compare Keras VS Dash for macOS and see what are their differences

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Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Dash for macOS logo Dash for macOS

Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
  • Keras Landing page
    Landing page //
    2023-10-16
  • Dash for macOS Landing page
    Landing page //
    2021-10-22

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Dash for macOS features and specs

  • Comprehensive Documentation Library
    Dash offers an extensive collection of API documentation sets for a wide range of programming languages and frameworks, making it a one-stop solution for developers who need quick access to reference materials.
  • Offline Access
    Dash allows users to download documentation for offline use, which is invaluable when working in environments without internet access or when attempting to reduce dependency on online resources.
  • Snippets Manager
    Dash includes a snippets manager that enables users to store and organize code snippets, which can significantly accelerate coding by reusing previously written code.
  • Integration with IDEs
    Dash integrates seamlessly with a variety of popular integrated development environments (IDEs) and code editors, like Xcode, Atom, Sublime Text, and more, streamlining the development workflow.
  • Custom Docsets
    Users can create and manage their own custom docsets, allowing for documentation customization specific to internal libraries or less common technologies.

Possible disadvantages of Dash for macOS

  • Paid Software
    Dash is a paid application, which may be a deterrent for some users who prefer free solutions or developers working with tight budgets.
  • macOS Only
    Dash is exclusive to macOS, which excludes users on other operating systems like Windows or Linux from utilizing its features.
  • Initial Set-Up Time
    Initial setup of Dash and downloading the necessary documentation sets can be time-consuming, especially for users who require multiple docsets.
  • Limited Cloud Syncing
    Dash doesn't offer robust cloud syncing options for documentation sets or snippet repositories, meaning users need to manually manage these files if working across multiple devices.

Keras videos

+ Add

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Dash for macOS videos

+ Add

Dash for macOS

Category Popularity

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Keras

Dash for macOS

Data Science And Machine Learning
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Data Science And Machine Learning
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Productivity
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Productivity
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Data Science Tools
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Data Science Tools
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Software Development
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Software Development
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Keras and Dash for macOS

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...
Source: searchbusinessanalytics.techtarget.com

Dash for macOS Reviews

  1. Stan
    · Founder at SaaSHub ·
    One of my favourite productivity tools as a software developer

    Once you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.

    As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.

    p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.

    🏁 Competitors: aText
Best Text Expander apps for MacOS
Dash offers one of the most simplistic ways to start adding your own snippets. Dash 3 offers a set of language documentation at the side and this is something that will help you with rules and references. The tool allows you to create snippets by simply copying the phrase. Alternatively, you can also create custom snippets using keyboard commands. Dash allows users to setup...
Source: techwiser.com
What's a good alternative to Textexpander for Mac?
14DashView Productajimix4Written 4y agoIf you are a developer, Dash is your choice. It also does text-expanding and works great!🙏 helpful 3CommentsShare
Source: www.producthunt.com

Social recommendations and mentions

Based on our record, Dash for macOS should be more popular than Keras. It has been mentiond 90 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.

Keras mentions (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 22 days ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 11 months ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
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Dash for macOS mentions (90)

  • Man pages are great, man readers are the problem
    Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / about 1 month ago
  • Why "alias" is my last resort for aliases
    Yeah, I do something kind of similar, using Dash [1] snippets which expand to full commands. Since I'm almost always on my mac, it means they're available in every shell, including remote shells, and in other situations like on Slack or writing documentation. I mostly use § as a prefix so I don't type them accidentally (although my git shortcuts are all `gg`-consonant which is not likely to appear in real typing).... - Source: Hacker News / 3 months ago
  • Patterns for Personal Web Sites (2003)
    Yeah, I keep thinking that CHM was the peak format for offline docs. Today we have Kiwix [0] and Dash/Zeal [1] – both amazing projects, but somehow they feel more complex, and the formats they use aren’t as ubiquitous. [0]: https://kiwix.org/en/ [1]: https://kapeli.com/dash for macOS, https://zealdocs.org/ for others. - Source: Hacker News / 4 months ago
  • Ask HN: What is one software product that boosted your productivity?
    Dash https://kapeli.com/dash Mac app. A native standardised search and browsing interface for the documentation of almost every programming language out there (and in some cases, their third-party libraries too). - Source: Hacker News / 8 months ago
  • Rerun: Visualize Multimodal Data over Time
    Rerun is great. I wish they prioritize rerun_sdk build for iOS and/or Android - so that you can log remotely from mobile devices. Serializing and streaming images, depthmaps, sensors data in own code is a pain and rerun has done great work with that. A little worrying for me that rerun seems getting more complicated and verbose and API changes frequently. The whole vizualization code can clutter algorithm/code... - Source: Hacker News / 9 months ago
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What are some alternatives?

When comparing Keras and Dash for macOS, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Zeal - Zeal is an API Documentation Browser.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

AttendanceBot - Time & attendance tracking for distributed teams

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