Search Results for "html chart"

Chart.xkcd is a chart library plots “sketchy”, “cartoony” or “hand-drawn” styled charts. It’s easy to get started with chart.xkcd. All that’s required is the script included in your page along with a single <svg> node to render the chart. You can install chart.xkcd via script tag in HTML or via npm. Line chart displays series of data points in the form of lines.

plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all. Graphs made with plotly.py can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.

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.

Responsive dashboard templates for Bootstrap. Building an analytics dashboard? Don’t start from scratch. Grab one of our CSS Grid-based templates and admire your data in minutes. An attractive, custom analytics dashboard that's ready to be shown to your team or your customers. No hours lost tweaking CSS or testing responsiveness on eight different mobile devices. The templates can work with any data source or charting library, but they're particularly streamlined to work with Keen IO's...

Please note the project has been moved to new website: http://mctrl.org.

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.