Software Alternatives, Accelerators & Startups

ConfigCat VS Scikit-learn

Compare ConfigCat VS Scikit-learn and see what are their differences

ConfigCat logo ConfigCat

ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

Scikit-learn logo Scikit-learn

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

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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

ConfigCat features and specs

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

Scikit-learn features and specs

No features have been listed yet.

ConfigCat videos

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

+ Add video

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

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

User comments

Share your experience with using ConfigCat and Scikit-learn. 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 ConfigCat and Scikit-learn

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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, ConfigCat should be more popular than Scikit-learn. 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.

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 / 4 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 / 12 months 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

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
View more

What are some alternatives?

When comparing ConfigCat and Scikit-learn, you can also consider the following products

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

OpenCV - OpenCV is the world's biggest computer vision library

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

NumPy - NumPy is the fundamental package for scientific computing with Python