88 skills found · Page 1 of 3
plotly / Dash TableOBSOLETE: now part of https://github.com/plotly/dash
nschloe / Github Trends:chart_with_upwards_trend: GitHub star history plots
e-hulten / JulyA small library for creating pretty heatmaps of daily data.
plotly / Dash Core ComponentsOBSOLETE: now part of https://github.com/plotly/dash
djw / Core PlotUnofficial core-plot mirror (official version now here: https://github.com/core-plot/core-plot)
plotly / Dash Table ExperimentsNO LONGER SUPPORTED - use https://github.com/plotly/dash-table instead
akerl / GithubchartContribution plotting from GitHub's feed
plotly / Dash Html ComponentsOBSOLETE - now part of https://github.com/plotly/dash
firecrawl / Firegraph🔥📈 Create beautiful graphs in seconds. Plot github stars or your own csvs. Think ray.so for graphs. Built by the Firecrawl team.
maximilianh / CellBrowsermain repo: https://github.com/ucscGenomeBrowser/cellBrowser/ - Python pipeline and Javascript scatter plot library for single-cell datasets, http://cellbrowser.rtfd.org
Doodleverse / Dash DoodlerDoodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym
Signalsmith-Audio / PlotGitHub mirror of our basic C++ plotting library
kivy-garden / Garden.graphDisplays plots on a graph. DEPRECATED for https://github.com/kivy-garden/graph
aman-roy / StalkHubStalkHub is a Flask-based web app which uses GitHub API v3 to plot your GitHub profile beautifully.
plotly / Dash Redis Celery Periodic UpdatesDemo apps now maintained in https://github.com/plotly/dash-enterprise-docs
core-plot / Core Plot.github.ioAPI documentation
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.
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.
agentphantom / AgentphantomAutomated GitHub profile content using the USGS API, Plotly and GitHub Actions.
rebeccapaz / Bokeh Flask TutorialExample code for rendering a BokehJS plot using Flask. Please see the wiki: https://github.com/rebeccapaz/bokeh-flask-tutorial/wiki/Rendering-Bokeh-plots-in-Flask
