Software Alternatives, Accelerators & Startups
Register | Login

Flatlogic VS Keras

Compare Flatlogic VS Keras and see what are their differences

IsDown.app
Monitor all your cloud services with our status page aggregator. IT teams choose IsDown to monitor all their vendors and get alerts whenever an outage occurs. Integration with Datadog, PagerDuty, Slack, Microsoft Teams, and a lot more. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Flatlogic logo Flatlogic

AI-Powered Software Development for Startups and Businesses

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.
Not present

Flatlogic specializes in building web-based business software and applications using AI and innovative technologies. Our platform, Flatlogic Generator, allows users to create custom SaaS, ERP, CRM, CMS, and other solutions quickly and efficiently, offering full code ownership and scalability. With a focus on enterprise applications, we help businesses save time and resources while delivering robust and customizable solutions. Contact us for software development, integration, and customization services.

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

Flatlogic

Website
flatlogic.com
Pricing URL
Official Flatlogic Pricing
$ Details
freemium $20.0 / Monthly
Release Date
2022 October
Startup details
Country
Poland
City
Warsaw
Employees
20 - 49
Edit details

Keras

Website
keras.io
Pricing URL
-
$ Details
Release Date
-
Edit details

Flatlogic features and specs

  • Streamlined Development
    Flatlogic provides pre-built application templates that can significantly speed up the development process by reducing the need for manual coding.
  • Customization Options
    Offers various templates and layouts that can be customized to fit specific project requirements, providing flexibility for developers.
  • Modern Technologies
    Flatlogic uses modern technologies such as React, Angular, and Vue, making it easier to integrate with current software ecosystems.
  • Comprehensive Documentation
    Documentation is thorough, making it easier for developers to understand how to use the platform and get up and running quickly.
  • Responsive Design
    Templates are designed to be fully responsive, ensuring applications look good on both desktop and mobile devices.
  • User Support
    Provides good customer support, including options for live chat and ticketing, helping users resolve issues quickly.

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 Flatlogic

Overall verdict

  • Overall, Flatlogic is considered a good choice for developers who need to expedite the web application development process without compromising quality. It caters to both beginners with its straightforward templates and experienced developers who can utilize its more advanced features.

Why this product is good

  • Flatlogic (flatlogic.com) is regarded as a useful platform for developers and businesses looking to create web applications quickly and efficiently. It offers a wide range of pre-built templates, starter kits, and full-stack web application generators that help in cutting down development time and focusing more on customizing the app to meet specific needs. Users appreciate the ease of use, comprehensive documentation, and the time saved in setting up the infrastructure from scratch.

Recommended for

    Flatlogic is recommended for startups, small to medium-sized businesses, and independent developers who want to accelerate the development of web applications. It's particularly beneficial for teams that need to launch projects quickly, those who have limited resources for building from scratch, and for educators or learners interested in understanding the structure of modern web applications.

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

Flatlogic videos

+ Add

AI-Driven Business Software - Flatlogic App Generator

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 Flatlogic and Keras)

Flatlogic

Keras

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Design Tools
100 100%
Design Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Flatlogic and Keras. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Flatlogic Reviews

We have no reviews of Flatlogic yet.
Be the first one to post

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 Flatlogic. 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.

Flatlogic mentions (16)

  • AI Software Development: Trends for the Next 5 Years
    Work with Flatlogic, and step into the future of the next-generation AI software development today! - Source: dev.to / 3 months ago
  • Why Custom ERP is the Best Fit for Scaling Businesses
    So, why choose a system that only half-serves your business? Take control of your business operations today. Start building your custom ERP with Flatlogic’s code generator now! - Source: dev.to / 3 months ago
  • Best SAP Alternatives 2025: Choose the Right ERP
    Choose Flatlogic if you want to build a smart and effective ERP system that ensures agility and helps your business easily adapt in a fast-pressurized modern world. - Source: dev.to / 3 months ago
  • AI Web App Generators: Build in Minutes
    Of the AI web app generators listed, Flatlogic stands out with its customizable database schema, comprehensive authentication, and full-stack capabilities. Start building your dream app today with Flatlogic’s code generator. - Source: dev.to / 4 months ago
  • Best 10+ Open Source CRM Systems
    Tailored to the intricate needs of modern businesses, Flatlogic Custom CRM stands out by providing a CRM solution that isn’t just flexible — it’s entirely moldable to your business needs. Designed to serve as the backbone for customer relationship management, Flatlogic Custom CRM emerges from a powerful lineage of business software development, integrating seamlessly into various industries’ workflows. The system... - Source: dev.to / 11 months ago
View more

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 / 8 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
View more

What are some alternatives?

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

ArchitectUI - Modern dashboard template for bootstrap 4

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.

Soft UI Dashboard - Admin dashboard template for Bootstrap 5

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

DesignRevision - Powerful tools for web professionals

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

Loading...