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GitKraken VS Keras

Compare GitKraken VS Keras and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

GitKraken logo GitKraken

The intuitive, fast, and beautiful cross-platform Git client.

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.
  • GitKraken Landing page
    Landing page //
    2023-04-21
  • Keras Landing page
    Landing page //
    2023-10-16

GitKraken features and specs

  • User-Friendly Interface
    GitKraken provides an intuitive and visually appealing interface which makes it easy for users to navigate and manage repositories.
  • Robust Git Integration
    GitKraken offers seamless integration with Git, supporting various Git commands and workflows with ease.
  • Cross-Platform Support
    GitKraken is available on multiple platforms including Windows, macOS, and Linux, providing consistency for users working in different environments.
  • Built-in Merge Conflict Resolution
    The tool includes advanced features for resolving merge conflicts, simplifying a commonly complex part of version control.
  • Integration with Issue Trackers
    GitKraken works well with popular issue trackers like Jira, GitHub Issues, and GitLab Issues, enhancing project management capabilities.

Possible disadvantages of GitKraken

  • Cost
    While GitKraken offers a free version, its premium features, which might be essential for advanced users, come with a subscription fee.
  • Resource Intensive
    GitKraken can be heavy on system resources, which might lead to slower performance on less powerful hardware.
  • Limited Customization
    Compared to some other Git clients, GitKraken offers fewer options for customization and configuration, which might be limiting for power users.
  • Learning Curve
    New users, especially those not familiar with Git concepts, might find the initial learning curve steep despite its user-friendly interface.
  • Periodic Updates
    Updates and new releases, while beneficial, can sometimes introduce bugs or change the interface in ways that disrupt user workflow.

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.

GitKraken videos

+ Add

GitKraken Git Client Tutorial For Beginners

More videos:

  • Review - 10 ways GitKraken Glo Boards outshines Trello for developers
  • Review - GitKraken Glo Boards - Intro to Kanban-style Issue Tracking for Devs

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

Category Popularity

0-100% (relative to GitKraken and Keras)

GitKraken

Keras

Git
100 100%
Git
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using GitKraken and Keras. For example, how are they different and which one is better?
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Reviews

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

GitKraken Reviews

Top 7 GitHub Alternatives You Should Know (2024)
GitKraken is a popular Git client and collaboration platform for Windows, macOS, and Linux.
Source: snappify.com
Best Git GUI Clients of 2022: All Platforms Included
The tool has a built-in code editor where you can start a new project and edit the files directly in GitKraken. Plus it lets you track your tasks as it can sync with GitHub in real time, organize tasks in the calendar view, and mention team members to notify them about updates.
Source: www.hostinger.com
Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitKraken is another top-of-the-line tool among git clients due to its efficiency, reliability, and stylish user interface (UI). The tool is equally popular among expert and novice developers.
Source: geekflare.com
Best Git GUI Clients for Windows
GitKraken is one of the best-known Git GUI tools for Windows, Linux, and Mac. Specialists favor this software for its reliability and efficiency, and its stylish interface also helped this solution become so popular. It simplifies all the basic tasks, making it possible to perform the necessary actions and fix errors with one click.
Source: blog.devart.com

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

Social recommendations and mentions

Based on our record, Keras should be more popular than GitKraken. It has been mentiond 35 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.

GitKraken mentions (4)

  • Native Git Support in Zed
    I'll have to try this out. I'm currently a huge GitKraken[1] fan. [1] https://gitkraken.com. - Source: Hacker News / 2 months ago
  • The Terrible UX of Git (2021)
    The Git CLI is terrifying and awful. It's far too easy to clobber your own work -- and that of others -- when the whole point of it was to prevent that. While you still need to really deeply understand several git concepts to use it, GitKraken[0] is the best GUI tool I've used in daily practice. It integrates well with git hosts and has an attractive and mostly comprehensible interface. Accordingly, it isn't free... - Source: Hacker News / over 2 years ago
  • Beautiful and crazy ways to see git-log?
    I like GitKraken partially because it was originally loosely based on the look/feel of Guitar Hero. Source: about 3 years ago
  • How I became a Software Developer - 5 Years Later
    This experience was also invaluable because I had a walking fountain of knowledge sitting next to me and was really cool about answering my questions and pointing out all code style errors in countless PR reviews. I cannot count the amount of times he had to explain me the whole rebase workflow. What really helped me improve my Git knowledge was GitKraken and other similar tools. - Source: dev.to / about 3 years ago

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 / 24 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 / 12 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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What are some alternatives?

When comparing GitKraken and Keras, you can also consider the following products

SourceTree - Mac and Windows client for Mercurial and Git.

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.

GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.

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

SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...

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

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