Struggling to choose between morris.js and Frappé Charts? Both products offer unique advantages, making it a tough decision.
morris.js is a Development solution with tags like charts, data-visualization, svg, canvas.
It boasts features such as Creates SVG, Canvas and CSS charts, Supports line, bar, area, donut and other chart types, Customizable styles and options, Responsive and adaptive for different devices, Lightweight library with no dependencies and pros including Open source and free to use, Easy to implement and integrate, Good documentation and examples, Very customizable, Lightweight and fast.
On the other hand, Frappé Charts is a Office & Productivity product tagged with charts, graphs, data-visualization, draganddrop, python, javascript.
Its standout features include Drag-and-drop interface to create charts, Supports various chart types like bar, pie, line, scatter, maps etc, Interactive charts for analysis, Open source and free to use, Customizable and themeable, Export charts as images or PDFs, Embed charts in web apps, Connect to data sources like CSV, JSON, SQL etc, Collaboration tools to share and edit charts, and it shines with pros like Free and open source, Simple and easy to use, Good variety of chart types, Interactive charts, Customizable and themeable, Can be embedded in web apps, Export charts in multiple formats.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
morris.js is an open-source JavaScript charting library that enables easy creation of good-looking charts and graphs using SVG, Canvas and CSS. It is light-weight, customizable, and supports multiple chart types including line, bar, area, donut and others.
Frappé Charts is an open source charting and data visualization tool. It allows users to create interactive charts, graphs and maps to represent data visually. It is built on Python and JavaScript and has a simple and intuitive drag-and-drop interface.