Software Alternatives, Accelerators & Startups

Microsoft Power Automate VS Keras

Compare Microsoft Power Automate VS Keras and see what are their differences

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Microsoft Power Automate logo Microsoft Power Automate

Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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.
  • Microsoft Power Automate Landing page
    Landing page //
    2024-03-20

Microsoft Power Automate is a comprehensive, integrated automation platform with advanced digital process automation (DPA), robotic process automation (RPA), and process mining capabilities. And with the power of low-code and AI, you are in the driver’s seat to securely automate your organization at scale.

Features

  • Streamline your business with (DPA) digital process automation through cloud flows to connect your apps, data, and services.
  • Automate repetitive tasks using UI-based automation with (RPA) robotic process automation through desktop flows.
  • Ensure consistency with business process flows—the (BPA) business process automation capability in Power Automate.
  • Discover workflow bottlenecks and automation opportunities with the process advisor.
  • Bring AI to automation and gain insights by creating tailored AI models within Power Automate using AI Builder.

Click here to learn more about Power Automate or visit the official blog to keep up with the news.

  • Keras Landing page
    Landing page //
    2023-10-16

Microsoft Power Automate features and specs

  • Attended RPA
  • Unattended RPA
  • Process mining
  • Task mining
  • Document automation
  • Data loss prevention (DLP)
  • Digital workforce management
  • API automation

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.

Microsoft Power Automate videos

Winautomation Review - DO NOT BUY

More videos:

  • Tutorial - Microsoft Flow Tutorial for Beginners
  • Review - WinAutomation Overview
  • Review - What is Microsoft Flow and Why Would I Use it?
  • Review - Optimize your business with Microsoft Power Automate

Keras videos

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 Microsoft Power Automate and Keras)
Automation
100 100%
0% 0
Data Science And Machine Learning
Web Service Automation
100 100%
0% 0
Data Science Tools
0 0%
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 Microsoft Power Automate and Keras

Microsoft Power Automate Reviews

TOP RPA tools you should never miss | Octoparse RPA
As part of the Power Platform, Power Automate provides accessibility and ease of use for automating common workflows. Its triggers and actions enable jobs to be automated across hundreds of apps and systems. Power Automate is designed for simple, event-driven automation and job completion. Now Microsoft offers two plans for this service. The power automate premium will cost...
N8n.io Alternatives
One of the standout features of Microsoft Power Automate is its ability to create complex workflows without requiring extensive coding knowledge. Users can leverage pre-built templates or design custom flows using a visual designer. Moreover, Power Automate integrates with ApiX-Drive, a service that simplifies setting up integrations and automating data transfers between...
Source: apix-drive.com
Microsoft Power Automate
This gives businesses an advantage over each other, heightening their customer satisfaction and product/service value. With hundreds of tools present for this purpose, choosing the right tool is essential. This write-up will give you a detailed comparison between Microsoft Power Automate and our workflow automation platform Cflow. Additionally, we will also look at the top 7...
Top 5 Microsoft Power Automate alternatives for 2024
If you’re trying to go paperless and streamline repetitive tasks, you’ve probably heard about Microsoft Power Automate — or maybe you already use it. It’s a low-code platform that enables you to build automated processes across multiple applications. But you might not know there are several Power Automate alternatives that you may find more suitable for your business.
Source: www.jotform.com
6 Best Power Automate Alternatives & Competitors in 2024
Microsoft Power Automate is a popular workflow automation tool that allows users to create automated workflows without the need for manual coding. While it offers many benefits, there may be instances where organizations or individuals are looking for alternatives to Power Automate. Some reasons why alternatives may be needed include:

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...

Social recommendations and mentions

Keras might be a bit more popular than Microsoft Power Automate. We know about 35 links to it since March 2021 and only 31 links to Microsoft Power Automate. 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.

Microsoft Power Automate mentions (31)

  • Is there any open source no code workflow tool?
    Hi, I am trying to build a no code tool workflow tool with blocks and connections between the blocks. Similar to power automate: https://powerautomate.microsoft.com/en-us/. Source: almost 2 years ago
  • Spreadsheet: export link in CSV
    Windows has an option called Power Automate https://powerautomate.microsoft.com/en-us/ that allows for, well automating such tasks as manually copying / pasting data https://learn.microsoft.com/en-us/power-automate/getting-started. Source: almost 2 years ago
  • My coworkers and I have decided to start filling out the forms
    Try to use automation to fill it out ( https://powerautomate.microsoft.com/en-us/ for example). Source: almost 2 years ago
  • Automating my monkey job
    Https://powerautomate.microsoft.com/en-us/ might be something worth checking out if you have access. Source: about 2 years ago
  • Should I quit learning Python?
    What is it that you actually want to achieve? Learning Python should have an overarching goal. Like being a programmer. If you would rather not be a programmer, and you don't like programming, but you would like to automate certain things on your PC, you might as well download and install https://powerautomate.microsoft.com/en-us/ . If you intend to understand, or work with, Big Data or AI, then Python totally is... Source: about 2 years ago
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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 / 14 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 / 7 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
View more

What are some alternatives?

When comparing Microsoft Power Automate and Keras, you can also consider the following products

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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.

Make.com - Tool for workflow automation (Former Integromat)

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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