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ASAP Utilities VS PyTorch

Compare ASAP Utilities VS PyTorch and see what are their differences

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ASAP Utilities logo ASAP Utilities

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

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • ASAP Utilities Landing page
    Landing page //
    2023-04-17
  • PyTorch Landing page
    Landing page //
    2023-07-15

ASAP Utilities features and specs

  • Time-Saving Features
    ASAP Utilities offers a wide range of features that automate repetitive tasks in Excel, allowing users to save time on data processing and analysis.
  • User-Friendly Interface
    The add-in integrates seamlessly into Excel and provides an intuitive interface that is easy to navigate, even for users who are not advanced Excel users.
  • Extensive Functionality
    It includes over 300 powerful utilities that cover a variety of functions like data cleaning, formatting, and formula management, enhancing Excel’s built-in capabilities.
  • Regular Updates
    ASAP Utilities is consistently updated with new features and improvements, ensuring compatibility with the latest versions of Excel and addressing user-requested enhancements.
  • Efficient Customer Support
    The software is backed by a responsive customer support team who assist with technical issues and user inquiries, widely praised for their helpfulness and efficiency.

Possible disadvantages of ASAP Utilities

  • Cost
    ASAP Utilities is a paid add-in, which might be a drawback for users who are looking for free solutions or for those with limited budgets.
  • Complexity of Choices
    With over 300 utilities available, users may find it overwhelming to navigate through all the options and identify the most useful tools for their specific needs.
  • Learning Curve
    Even though the interface is user-friendly, the sheer number of features can require a learning curve for new users to become fully proficient with the tool.
  • Compatibility Issues
    There could be occasional compatibility issues with specific Excel versions or other Excel add-ins, potentially leading to software conflicts or reduced functionality.
  • Limited to Excel
    The add-in is specifically designed for Excel and cannot be used in other spreadsheet applications, limiting its utility to Microsoft Office users.

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Analysis of ASAP Utilities

Overall verdict

  • ASAP Utilities is generally considered to be a valuable tool for Excel users, especially those who work extensively with spreadsheets and require enhanced functionality beyond what Excel natively offers. Its comprehensive set of features and ease of use make it a worthwhile investment for improving efficiency.

Why this product is good

  • ASAP Utilities is a popular add-in for Microsoft Excel that provides a wide range of tools designed to simplify and enhance spreadsheet tasks. It offers over 300 utilities that help users automate repetitive tasks, improve productivity, and perform advanced data analysis. Users frequently praise its ability to save time and reduce errors in Excel tasks.

Recommended for

    ASAP Utilities is recommended for business professionals, data analysts, accountants, and any individuals or teams who regularly work with large or complex Excel spreadsheets. It's particularly beneficial for users who want to streamline their workflow and enhance the capabilities of Excel through additional tools and automation features.

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

ASAP Utilities videos

+ Add

Excel Add-in: ASAP Utilities

More videos:

  • Review - Trying out ASAP Utilities
  • Review - CARA CETAK BYNAME DENGAN ASAP UTILITIES DAN EXCEL MUDAH GAMPANG

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Category Popularity

0-100% (relative to ASAP Utilities and PyTorch)

ASAP Utilities

PyTorch

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 ASAP Utilities and PyTorch

ASAP Utilities Reviews

We have no reviews of ASAP Utilities yet.
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PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, PyTorch seems to be more popular. It has been mentiond 133 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.

ASAP Utilities mentions (0)

We have not tracked any mentions of ASAP Utilities yet. Tracking of ASAP Utilities recommendations started around Mar 2021.

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 26 days ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing ASAP Utilities and PyTorch, you can also consider the following products

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

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.

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!

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

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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