61 skills found · Page 1 of 3
astrofrog / Mpl Scatter Density:zap: Fast scatter density plots for Matplotlib :zap:
LKremer / Ggpointdensity:chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
python-windrose / WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
cmbant / GetdistMCMC sample analysis, kernel densities, plotting, and GUI
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.
Przemol / Seqplots:chart_with_upwards_trend:SeqPlots - An interactive tool for visualizing NGS signals and sequence motif densities along genomic features using average plots and heatmaps.
ssebastianmag / Hydrogen WavefunctionsHydrogen wavefunction modeling and electron probability density plots
Sayani07 / GghdrPlots of highest density regions (HDR) for ggplot2
stefan-schroedl / PlotluckR tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
ifilot / EdpElectron Density Plotter
spsanderson / TidyDensityCreate tidy probability/density tibbles and plots of randomly generated and empirical data.
AndreyAkinshin / GgwaterfallR package with functions for drawing density and frequency trail waterfall plots
Superzchen / IFeatureOmega GUIiFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.
microsoft / Powerbi Visuals HistogramA histogram chart plots data ranges into intervals. Useful for estimating density.
Superzchen / IFeatureOmega CLIiFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequences, 3D structures and ligands. To the best of our knowledge, iFeatureOmega supplies the largest number of feature extraction and analysis approaches for most molecule types compared to other pipelines. Three versions (i.e. iFeatureOmega-Web, iFeatureOmega-GUI and iFeatureOmega-CLI) of iFeatureOmega have been made available to cater to both experienced bioinformaticians and biologists with limited programming expertise. iFeatureOmega also expands its functionality by integrating 15 feature analysis algorithms (including ten cluster algorithms, three dimensionality reduction algorithms and two feature normalization algorithms) and providing nine types of interactive plots for statistical features visualization (including histogram, kernel density plot, heatmap, boxplot, line chart, scatter plot, circular plot, protein three dimensional structure plot and ligand structure plot). iFeatureOmega is an open-source platform for academic purposes. The web server can be accessed through http://ifeature2.erc.monash.edu and the GUI and CLI versions can be download at: https://github.com/Superzchen/iFeatureOmega-GUI and https://github.com/Superzchen/iFeatureOmega-CLI, respectively.
endolith / ScopeplotOscilloscope-like plotting of signals, showing waveform density instead of peak amplitude silhouettes
SCECcode / UcvmUCVM is used to query seismic velocity models for earth properties (Vp, Vs, density) by lat,long, and depth. It can create velocity meshes used in seismic wave propagation simulations. This repo contains the source codes that implement the core UCVM query interface. Python-based plotting modules are hosted in a separate GitHub repo.
CDFER / Ceramic Capacitor DeratingJupyter Notebook to analyze and visualize DC bias derating of ceramic capacitors. Uses Murata SimSurfing CSV data to plot capacitance density (µF/mm²) vs. DC bias, highlighting effective capacitance at a user-defined target voltage. Helps in selecting appropriate MLCCs by showing their real-world performance under bias conditions.
sherrillmix / ViporPlot one-dimensional data using quasirandom noise and density estimates
Query-farm / TextplotA DuckDB community extension that enables text-based data visualization directly in SQL queries, including ASCII/Unicode bar charts, density plots, and sparklines for lightweight analytics and dashboards.
