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Kutools for Excel VS Keras

Compare Kutools for Excel VS Keras and see what are their differences

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Kutools for Excel logo Kutools for Excel

A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

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.
  • Kutools for Excel Landing page
    Landing page //
    2023-05-12
  • Keras Landing page
    Landing page //
    2023-10-16

Kutools for Excel features and specs

  • Ease of Use
    Kutools for Excel is designed to be user-friendly, offering a straightforward installation process and an intuitive interface. This makes it easy even for non-technical users to leverage advanced features.
  • Time-Saving Features
    The tool includes over 300 advanced functions designed to save time on repetitive tasks, such as batch processing, data merging, and complex formatting.
  • Enhanced Functionality
    Kutools for Excel extends the capabilities of Excel with new features and tools, such as advanced sorting options, enhanced data importing and exporting, and specialized cell operations.
  • Regular Updates
    The software is regularly updated with new features and improvements, ensuring that users have access to the latest tools and enhancements.
  • Comprehensive Documentation
    Kutools provides extensive tutorials, guides, and customer support to help users make the most of its features.
  • Compatibility
    The add-on is compatible with various versions of Excel, including the latest ones, which makes it versatile for different user needs.

Possible disadvantages of Kutools for Excel

  • Cost
    Kutools for Excel is a premium product with a cost that might be prohibitive for individual users or small businesses.
  • Steep Learning Curve
    While the interface is user-friendly, the sheer number of features can be overwhelming, requiring time to learn and master.
  • Performance Issues
    Some users have reported that the add-in can slow down Excel’s performance, particularly when working with large datasets or multiple functionalities simultaneously.
  • Dependency on Excel
    Kutools for Excel is an add-on, meaning it is entirely dependent on Microsoft Excel. If Excel encounters issues or is not available, Kutools cannot function independently.
  • Potential for Bloat
    Given the wide range of features, users may find many tools they do not use, which can lead to a cluttered user interface and difficulty in finding the tools they need.
  • Limited Free Trial
    The free trial period is limited, which might not be sufficient for users to explore the full range of features before deciding to purchase.

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.

Analysis of Kutools for Excel

Overall verdict

  • Kutools for Excel is generally considered a good investment for those who frequently use Excel, as it adds a lot of value through its extensive functionalities and ease of use. The positive feedback from many users suggests that it can significantly enhance productivity and streamline workflow processes.

Why this product is good

  • Kutools for Excel is often praised for its ability to simplify complex tasks in Excel. It offers a wide range of tools and features that help users save time and enhance productivity by automating repetitive tasks, managing data efficiently, and performing advanced calculations with ease. The add-in is particularly appreciated for its user-friendly interface and extensive documentation, making it accessible for both beginners and advanced users.

Recommended for

    Kutools for Excel is recommended for data analysts, accountants, financial professionals, and any Excel users who regularly deal with large datasets or complex calculations. It is also suitable for individuals and businesses looking to improve efficiency and take advantage of additional Excel features that are not available by default.

Analysis of Keras

Overall verdict

  • Keras is a solid choice for deep learning projects, offering simplicity and flexibility without sacrificing performance. It is well-suited for educational purposes, research, and even deploying models in production environments.

Why this product is good

  • Keras is widely regarded as a good deep learning library because it provides a user-friendly API that allows for easy and fast prototyping of neural networks. It is built on top of other libraries like TensorFlow, making it robust and efficient for both beginners and experienced developers. Its modularity, extensibility, and compatibility with other tools and libraries make it a popular choice for developing deep learning models.

Recommended for

  • Beginners who are new to deep learning
  • Researchers looking for an easy-to-use platform for prototyping models
  • Developers working on projects that require quick experimentation and development
  • Individuals and companies deploying models into production environments

Kutools for Excel videos

+ Add

MS Excel Tutorial - Lesson 92 - KuTools for Excel

More videos:

  • Tutorial - Kutools for Excel video tutorial
  • Review - Trying out Kutools for Excel

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 Kutools for Excel and Keras)

Kutools for Excel

Keras

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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

Kutools for Excel Reviews

We have no reviews of Kutools for Excel yet.
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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 seems to be more popular. 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.

Kutools for Excel mentions (0)

We have not tracked any mentions of Kutools for Excel yet. Tracking of Kutools for Excel recommendations started around Mar 2021.

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 / about 1 month 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 Kutools for Excel and Keras, you can also consider the following products

Excel Dashboard School - Free Excel add-ins and tools on Excel Dashboard School. Boost your work productivity and save your time! No trials, 100% power!

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.

ASAP Utilities - ASAP Utilities is a powerful Excel add-in that fills the gaps in Excel.

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

KPI Dashboard in Excel - Professional Management KPI Dashboard. Includes trend charts, past year/target comparisons, monthly & cumulative analysis in performance dashboard.

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

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