Highcharts
Highcharts is a JavaScript charting library that allows developers to create interactive and visually appealing charts for web applications. It offers a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. It also supports different types of data, including CSV, JSON, and even live data streams. One of the key features of Highcharts is its ability to customize the look and feel of the charts. Developers can easily change the colors, font sizes, and other visual elements to match their brand or design. Additionally, it offers a variety of options for making charts responsive, so they look great on any device. Another great feature is the ability to add interactive elements to charts, such as hover effects, tooltips, and click events. This allows developers to create charts that are not only informative, but also engaging for users. Highcharts also supports exporting charts as PNG, JPEG, PDF, or SVG, making it easy to share or print them.
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TinyPNG
TinyPNG (by Tinify) is a free image optimization tool trusted by developers and designers worldwide. It uses smart lossy compression to compress JPEG, PNG, WebP, and AVIF files by up to 80% without visible quality loss - boosting speed, SEO, and reducing bandwidth.
Compress, convert, and resize images via our intuitive web app or powerful API. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. Includes an official WordPress plugin and a growing ecosystem of community-built integrations.
Tinify is simple and accessible with no complex settings, no guesswork. It just works. Whether you're a beginner or building for scale, you get reliable results fast. All plans start with a generous free tier, and responsive customer support is here when you need help.
George the panda 🐼 would be thrilled to see you give it a try.
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ggplot2
ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
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