Software Alternatives & Startups

Keras VS Alterable

Compare Keras VS Alterable and see what are their differences

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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.

Alterable logo Alterable

Real-time, open-time content for email: countdown timers, dynamic images, live product picks, geo-targeted maps, one-click surveys, and scratch-card rewards. No code, no ESP integration, rendered fresh every time someone opens.
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  • Keras Landing page
    Landing page //
    2023-10-16
  • Alterable
    Image date //
    2026-08-29
  • Alterable
    Image date //
    2026-08-29
  • Alterable
    Image date //
    2026-08-29
  • Alterable
    Image date //
    2026-08-29
  • Alterable
    Image date //
    2026-08-29

Alterable adds real-time, open-time content to email campaigns, no coding, no ESP integration, no resends. Every asset is a single image URL that renders fresh the moment a subscriber opens the message, not the moment you hit send.

Countdown timers count down live in the inbox. Choose a fixed deadline for your whole list, an evergreen timer that starts when each subscriber opens, or a per-recipient deadline pulled from a merge tag. Ten visual styles, full color and font control.

Dynamic images show a different visual to every recipient based on location, device, language, weather, temperature, or time of day. A no-code rules builder stacks conditions and maps each combination to its own image variation.

Dynamic products pull live price, stock, and availability at the moment an email opens. Sold-out items hide automatically; low-stock items get a scarcity badge. Sync via CSV, REST API, or a Shopify/BigCommerce connection.

Local maps show each subscriber their nearest store, rendered around their location at open-time. Four map styles, custom markers, and deep links to native navigation apps.

Surveys put a one-click star, number, or emoji rating directly in the email body, no landing page, no login. Results populate a live dashboard as votes arrive.

Scratchers turn a discount into a game: a scratch-card reveal linking to a hosted prize page, with customizable cover art, reveal animations, and (on Pro) multiple weighted prizes.

Every asset works the same way: build it in Alterable's editor, copy one image tag, paste it into any ESP. Because it's just an image, it works in every major email client, no JavaScript or AMP required. Integrates with 50+ platforms including Klaviyo, Mailchimp, HubSpot, Brevo, ActiveCampaign, Constant Contact, GetResponse, AWeber, and Kit.

Also included: 22-language localization, timezone support, real-time analytics, CDN delivery, and REST API access. Free to start, no credit card required.

Alterable

$ Details
freemium
Platforms
Web
Startup details
Country
United States
State
Delaware
City
Claymont
Founder(s)
Matthieu Fauveau, Nicolas Ropiot
Employees
1 - 9

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.

Alterable features and specs

  • Countdown Timers
    Live, ticking countdown images embedded in email via a single <img> tag. Re-rendered fresh every time an email is opened.
  • Dynamic Images
    Serves a different image per recipient based on location, device, language, weather, temperature, time of day, or custom rules, rendered at open-time.
  • Dynamic Products
    Product blocks showing live price, stock level, and availability at the moment of open; auto-hides sold-out items, auto-badges low stock.
  • Local Maps
    Geo-targeted map showing each recipient's nearest store or point of interest, rendered at open-time from a CSV-imported location list.
  • Surveys
    One-click star, number, or emoji rating widgets embedded directly in email; no landing page or login required to respond.
  • Scratchers
    Scratch-card-style gamified prize reveal; Alterable hosts the resulting prize page.

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

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras &amp; 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

Alterable videos

No Alterable videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Keras and Alterable)
Data Science And Machine Learning
SaaS
0 0%
100% 100
OCR
100 100%
0% 0
Email Marketing
0 0%
100% 100

Questions & Answers

As answered by people managing Keras and Alterable.

What makes your product unique?

Alterable's answer:

Most tools in this space (NiftyImages, Sendtric, MotionMail, CountdownMail) do one thing well, usually just countdown timers. Alterable is a single platform for six distinct open-time content types, timers, dynamic images, live product data, geo-targeted maps, surveys, and scratch-card rewards, all rendered the same way: one image tag, no ESP integration, no JavaScript.

That "just an image" approach is also what makes it universal: it works in every major email client without exception, since there's nothing for Outlook or Gmail to selectively support or block.

The rules engine is shared across all six content types too. The same conditions (location, weather, device, time of day, stock level) that pick a dynamic image can pick a product, a map location, or a timer variant, so teams build a targeting logic once and reuse it everywhere instead of learning a separate tool per feature.

Why should a person choose your product over its competitors?

Alterable's answer:

Against single-purpose timer tools (Sendtric, CountdownMail, MotionMail, CountingDownTo): those platforms do one thing, a countdown widget. Alterable includes countdown timers plus dynamic images, live product data, geo-targeted maps, surveys, and scratch cards, on one account, with one shared rules engine. If a team outgrows "just a timer," there's no second tool to adopt.

Against broader personalization platforms (NiftyImages, Movable Ink): Alterable is free to start with no credit card, and every asset is a plain image tag rather than requiring a native ESP integration or account connection. That keeps setup to minutes and means it works identically across Klaviyo, Mailchimp, HubSpot, GetResponse, or any of 50+ platforms, with no per-ESP configuration to maintain.

Because it's "just an image": there's no JavaScript, no AMP, no interactive-email fallback logic to write or test. It renders the same way in Outlook as it does in Gmail, which is where more elaborate interactive approaches usually break first.

User comments

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Reviews

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

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...

Alterable Reviews

We have no reviews of Alterable yet.
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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.

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 / over 1 year 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 / almost 2 years 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 / almost 2 years 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 / about 2 years 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 / over 2 years ago
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Alterable mentions (0)

We have not tracked any mentions of Alterable yet. Tracking of Alterable recommendations started around Feb 2022.

What are some alternatives?

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

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.

NiftyImages - NiftyImages is a tool to engage clients with personalized images and countdown timers for email.

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

OpenAlternative - Discover Open Source Alternatives to Popular Software

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

Movable Ink - Agile Email Marketing