Scikit-learn
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Exploratory
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ConfigCat
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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.
Scikit-learn ConfigCatConfigCat is recommended for software development teams, product managers, and organizations that require efficient feature management and configuration control. It is particularly useful for teams practicing continuous integration and delivery, agile development, or those with frequent release cycles, as it enables quick and safe experimentation and feature rollouts.
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ConfigCat might be a bit more popular than Scikit-learn. We know about 55 links to it since March 2021 and only 40 links to Scikit-learn. 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
I've said a lot about OpenFeature. Let's see how it integrates with ConfigCat, a feature management platform with first-class OpenFeature support. - Source: dev.to / over 1 year 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 / over 2 years 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 / over 2 years 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 / about 3 years ago
But how can you be sure youโre making the right changes? Itโs impossible to read your clientsโ minds, but A/B testing might just be the next best thing. In this article, Iโll guide you through conducting an A/B test on an Android (Kotlin) application using ConfigCatโs feature flag management system and Amplitude. - Source: dev.to / about 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
NumPy - NumPy is the fundamental package for scientific computing with Python
Unleash - Unleash is an open-source feature management platform. We are private, secure, and ready for the most complex setups out of the box.
OpenCV - OpenCV is the world's biggest computer vision library
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.