BigML
RapidMiner
Scikit-learn
Qubole
Alteryx
Google Cloud Machine Learning
machine-learning in Python
Google CLOUD AUTOML
ConfigCat
LaunchDarkly
Flagsmith
Unleash
Split.io
Flagship.io
Switchover Feature Flag Management
Optimizely
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.
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Based on our record, ConfigCat seems to be a lot more popular than BigML. While we know about 54 links to ConfigCat, we've tracked only 2 mentions of BigML. 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.
Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 3 years ago
They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 3 years ago
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
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 / 6 months ago
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
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 / 12 months ago
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 / 12 months ago
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.