Software Alternatives, Accelerators & Startups

Keras VS ConfigCat

Compare Keras VS ConfigCat and see what are their differences

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.

ConfigCat logo ConfigCat

ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.
  • Keras Landing page
    Landing page //
    2023-10-16
  • ConfigCat Landing page
    Landing page //
    2019-11-22

ConfigCat is a developer-centric feature flag service that helps you turn features on and off, change their configuration, and roll them out gradually to your users. It supports targeting users by attributes, percentage-based rollouts, and segmentation. Available for all major programming languages and frameworks. Can be licensed as a SaaS or self-hosted. GDPR and ISO 27001 compliant.

ConfigCat

$ Details
freemium
Platforms
iOS Android Swift Objective-C Java JavaScript .Net Python Go PHP Cross Platform Browser Ruby React Native ReactJS Node JS Laravel Elixir ASP.NET API Web REST API Linux Windows Kotlin

Keras features and specs

No features have been listed yet.

ConfigCat features and specs

  • Integrations: Slack, CircleCI, GitHub, DataDog, Trello, Jira Cloud, Zapier

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

ConfigCat videos

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

Add video

Category Popularity

0-100% (relative to Keras and ConfigCat)
Data Science And Machine Learning
Feature Flags
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using Keras and ConfigCat. 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 Keras and ConfigCat

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...

ConfigCat Reviews

Top Mobile Feature Flag Tools
ConfigCat is a managed feature flag and remote configuration tool that allows an unlimited number of team members on all their plans. They claim to be functional and friendly with clear public documentation, a slack support channel, and a simple pricing model. ConfigCat is a cross-platform solution, with open source SDKs. They offer feature flags and remote configuration...
Source: instabug.com
Feature Toggling Tools for $100 or less
In summary, LaunchDarkly’s ‘Starter Package’ supports the most SDK’s and their web interface is slightly more functional. ConfigCat’s “Pro” package allows large teams to work together. Rollout’s Solo package is the most convenient for A/B testing. Bullet Train’s “Scale-Up” package is suitable for low traffic applications. FeatureFlow’s ‘Medium’ package is ideal if you don’t...
Source: medium.com

Social recommendations and mentions

Based on our record, ConfigCat should be more popular than Keras. It has been mentiond 54 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 (32)

  • 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 / 17 days 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 / 2 months ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
View more

ConfigCat mentions (54)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, excellent support, and a reasonable price tag. Free plan up to 10 flags, two environments, 1 product, and 5 Million requests per month. - Source: dev.to / 5 months ago
  • How to Use ConfigCat Feature Flags with Docker
    ConfigCat allows you to manage your feature flags from an easy-to-use dashboard, including the ability to set targeting rules for releasing features to a specific segment of users. These rules can be based on country, email, and custom identifiers such as age, eye color, etc. - Source: dev.to / 7 months ago
  • Add ConfigCat to Next.js App
    I recently started helping my friend @jordan-t-romero with a NextJS and NodeJS project she is working on. This weekend we incorporated ConfigCat so that we can add feature flags to control what content is displayed in the different environments (local, staging, production, etc.). - Source: dev.to / about 1 year ago
  • Running an A/B Test in Android Kotlin Using ConfigCat and Amplitude
    But how can you be sure you’re making the right changes? It’s impossible to read your clients’ minds, but A/B testing might just be the next best thing. In this article, I’ll guide you through conducting an A/B test on an Android (Kotlin) application using ConfigCat’s feature flag management system and Amplitude. - Source: dev.to / about 1 year ago
  • How to use ConfigCat with Redis
    If you're planning on cutting back or saving bandwidth utilization and optimizing for better performance on the client side then a caching solution like Redis can help. And, as we've seen from the code examples, Redis integrates quite easily with ConfigCat. With a caching solution in place, you can supercharge the way you do standard feature releases, canary deployments, and A/B testing. Besides Node.js, ConfigCat... - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Keras and ConfigCat, 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.

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

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

Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.