Search Results for "3d charts"

Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. The framework offers developers...

... chart, scatter chart, heat map, ring chart, candlestick chart, polar coordinate, parallel coordinate and so on. Supports 3D column charts, funnel charts, pyramids, dashboards, water level charts, pictographic column charts, Gantt charts, rectangular tree charts and other extended charts. Line graphs such as line graphs, curve graphs, area graphs, and stepped line graphs are supported.

Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform...

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...

..., texture, direction, and volume. L7 can meet common map charts, visual analysis of BI systems, and application system development needs such as spatial information management and analysis in the fields of GIS, transportation, electricity, land, agriculture, and cities. Supports many base map, many rendering engines, and layer free customization, extension, combination. Supports multiple base maps, rendering engines, layers can be customized, expanded, and combined freely.

Basic, Personal Access Token and OAuth2 authentication. View trending repositories and users (github-trending-api) Advanced searching and sorting repositories and users, filter by language. View repository and user details, events, issues, commits, pull requests, contributors, etc. View issue and pull request messages (MessageKit) Tool for counting lines of code from github repositories (code tabs) (Charts). The missing star history graph of github repos (stars-history) Quickly browse...

Python class for communicate with Excel via COM interface. The "excel_com" inside excel_com.py is basic class. Usage examples can be found in example.py Other files may be seen as additional examples of usage for "excel_com" class. Any suggestions or comments welcomed.

StatCvs-XML provides statistics about cvs usage based on the cvs log. It extends the StatCvs project with fancy 3D charts, advanced report generation and customization features. It also features a plugin for seamless integration with Apache Maven.

Set of ActiveX controls for realtime graphical displaying using OpenGL. (graphs, charts, 3d models,...). Th controls are written using visualC++

Clint can display data containing in a QAbstractItemModel as charts, trees or timelines. A chart can be linear ( data are displayed as curves, bars or points), radial ( data are displayed like a bar chart but in circle) or a piechart (2D or 3D). A tree displays data from a model like QTreeItemModel in a classic tree (horizontal or vertical) or radial (in circle). A timeline displays data from a model like a QListItemModel following a path.

SimuVis and its current implementation SimuVis4 is a framework and an interactive application for data handling, visualisation and simulations. It's based on python as the programming language, Qt for the GUI, Qwt for charts and VTK for 3D scenes.