Search Results for "html chart"

Resources-Front-End-Beginner is a curated, continually updated directory for people starting their front-end journey. It organizes learning links across topics like HTML, CSS, JavaScript, Git, tooling, and practice projects, making it easy to chart a study path. The repository balances conceptual resources with hands-on tutorials and challenges so learners can build muscle memory. It also highlights community spaces and reference material to encourage collaboration and long-term growth. Clear signposting and simple emoji markers help readers gauge difficulty and format at a glance. ...

Neiki's Charts is a lightweight SVG chart library built as a native Web Component. Drop a single script tag into any HTML page and get four chart types — Line, Bar, Pie, and Scatter — with no build step, no framework, and zero dependencies. CSS is bundled automatically, so one file is all you need. The component uses Shadow DOM for style encapsulation and fits cleanly into any project without CSS conflicts.

...It focuses on smooth live updates instead of charts that visibly jump every time new data arrives. Developers can create a TimeSeries object, attach it to a SmoothieChart, and stream the chart into an HTML canvas element. Data points can be appended continuously, making it useful for dashboards, monitoring tools, server metrics, sensors, and other live feeds. The project includes examples, documentation, an interactive builder, and installation options through npm, Yarn, Bower, or direct JavaScript usage. Overall, it is a lightweight option for adding fluid, browser-based streaming charts.

...It lets Python users create statistical charts through a small amount of code while relying on G2Plot’s grammar-of-graphics foundation. The library is inspired by pyecharts and is designed to make web-based charts available from Python workflows. Users create a Plot instance, set chart options, and render the result as an HTML file, HTML string, notebook preview, or JupyterLab output. It also supports JavaScript callbacks through a JS helper, which makes advanced customization possible when chart behavior needs JavaScript logic. Overall, it is a useful visualization bridge for Python users who want AntV-style charts in scripts, notebooks, or web outputs.

Its a pure Java Reporting Library and Reportdesigner for viewing, printing, exporting (xls, pdf, html, rtf) of professional looking reports. Supports Text-, Image- and Chart-Fields, multiple Grouping, XML-Templates and different Datasources.