ConfigCat
LaunchDarkly
Unleash
Flagsmith
Split.io
Growth Book
DevCycle
Optimizely
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
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 MatplotlibConfigCat 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.
No ConfigCat videos yet. You could help us improve this page by suggesting one.
Based on our record, Matplotlib should be more popular than ConfigCat. It has been mentiond 114 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.
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
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
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.
Unleash - Unleash is an open-source feature management platform. We are private, secure, and ready for the most complex setups out of the box.
NumPy - NumPy is the fundamental package for scientific computing with 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.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
