183 skills found · Page 1 of 7
mauriciopoppe / Function PlotA versatile 2d function plotter
microsoft / InteractiveDataDisplay.WPFInteractive Data Display for WPF is a set of controls for adding interactive visualization of dynamic data to your application. It allows to create line graphs, bubble charts, heat maps and other complex 2D plots which are very common in scientific software. Interactive Data Display for WPF integrates well with Bing Maps control to show data on a geographic map in latitude/longitude coordinates. The controls can also be operated programmatically.
fenix-hub / Godot Engine.easy ChartsA Godot Engine addon for plotting general purpose charts. A collection of Control, 2D and 3D Nodes to plot every chart possible.
danchitnis / Webgl PlotA high-Performance real-time 2D plotting library based on native WebGL
XgTu / 2DASLThe code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）
flekschas / Jupyter ScatterInteractive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
wwwtyro / CandygraphFast by default, flexible 2D plotting library.
LKremer / Ggpointdensity:chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
inkcut / InkcutAn application for controlling 2D plotters, cutters, engravers, and CNC machines.
emilk / Egui Plot2D plotting library in Rust for egui
PrateekKumarSingh / GraphicalOpen-Source, Platform independent module that consumes data points as input and plots them on a 2D graph 📈📊💹 [Scatter / Bar / Line] on the PowerShell Console/Terminal
narunlifescience / AlphaPlot:chart_with_upwards_trend: Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
milaan9 / 11 Python Matplotlib ModuleMatplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
PAIR-code / Scatter GlInteractive 3D / 2D webgl-accelerated scatter plot point renderer
kookma / Ogpfogpf is Object based interface to GnuPlot from Fortran 2003, 2008 and later
JuliaGraphics / Winston.jl2D plotting for Julia
yannrichet / JmathplotJava interactive 2D and 3D plots (no OpenGL)
interactivereport / Cellxgene VIPEnables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
ANYbotics / Rqt Multiplot PluginAn rqt plugin for visualizing numeric values in multiple 2D plots.
PlotPyStack / GuiqwtEfficient 2D plotting Python library based on PythonQwt
