Überblick über die Bibliotheken zur Datenvisualisierung#

Technologien#

graph python_visualisation_landscape { graph [fontname = "Calibri", fontsize="16", overlap=false]; node [fontname = "Calibri", fontsize="16", style="bold", penwidth="5px"]; edge [fontname = "Calibri", fontsize="16", style="bold", penwidth="5px"]; tooltip="Python Visualisation Landscape"; // OpenGL opengl [ label="OpenGL", tooltip="Open Graphics Library", color="#FF66B3", target="_top", href="../opengl/index.html"] vispy [ label="Vispy", tooltip="Python-Bibliothek für\ninteraktive wissenschaftliche\nVisualisierungen", color="#FF66B3", target="_top", href="http://vispy.org/"] mayavi [ label="Mayavi", tooltip="Python-Bibliothek für die\n3D-Visualisierung\nwissenschaftlicher Daten", color="#FF66B3", target="_top", href="http://docs.enthought.com/mayavi/mayavi/"] itkwidgets [ label="itkwidgets", tooltip="Interaktive Jupyter-Widgets\nzur Visualisierung von Bildern,\nPunktmengen und Netzen\nin 2D und 3D", color="#FF66B3", target="_top", href="https://itkwidgets.readthedocs.io/en/latest/"] vedo [ label="vedo", tooltip="Python-Modul für die\nwissenschaftliche\nAnalyse von 3D-Daten", color="#FF66B3", target="_top", href="https://vedo.embl.es"] polyscope [ label="Polyscope", tooltip="Ein C++ und Python-Viewer\nfür 3D-Daten wie Netze\nund Punktwolken", color="#FF66B3", target="_top", href="https://polyscope.run"] glumpy [ label="Glumpy", tooltip="Schnittstelle zwischen\nnumpy und OpenGL", color="#FF66B3", target="_top", href="https://glumpy.github.io/"] opengl -- vispy [color="#FF66B3"] opengl -- mayavi [color="#FF66B3"] opengl -- itkwidgets [color="#FF66B3"] opengl -- vedo [color="#FF66B3"] opengl -- polyscope[color="#FF66B3"] opengl -- glumpy [color="#FF66B3"] // Matplotlib mpl [ label="Matplotlib", tooltip="Python-Bibliothek\nfür 2D-Plots", color="#BF80FF" target="_top", href="../matplotlib/index.html"] mpl_scatter_density [ label="mpl-scatter-density", tooltip="Streudichtekarten für die\naussagekräftige Darstellungen\ngroßer Datensätze", color="#BF80FF", target="_top", href="../matplotlib/mpl-scatter-density.html"] pandas [ label="pandas", tooltip="pandas Datenstrukturen mit\nMatplotlib visualisieren", color="#BF80FF", target="_top", href="../matplotlib/pandas/index.html"] geopandas [ label="GeoPandas", tooltip="GeoPandas erweitert pandas um geometrische Datentypen", color="#BF80FF", target="_top", href="../matplotlib/geopandas/index.html"] geoplot [ label="Geoplot", tooltip="High-level-Bibliothek zum Plotten von Geodaten", color="#BF80FF", target="_top", href="https://residentmario.github.io/geoplot/index.html"] prettymaps [ label="prettymaps", tooltip="Python-Bibliothek zum Zeichnen benutzerdefinierter Karten aus OpenStreetMap-Daten", color="#BF80FF", target="_top", href="https://github.com/marceloprates/prettymaps"] descartes [ label="descartes", tooltip="Shapely- und GeoJSON-ähnliche Objekte als Matplotlib-Pfade", color="#BF80FF", target="_top", href="https://pypi.org/project/descartes"] seaborn [ label="seaborn", tooltip="High-level-Datenvisualisierung\nbasierend auf Matplotlib", color="#BF80FF", target="_top", href="../matplotlib/seaborn/index.html"] ggpy [ label="ggpy", tooltip="ggplot-Port für Python", color="#BF80FF", target="_top", href="https://github.com/yhat/ggpy"] plotnine [ label="plotnine", tooltip="Python-Implementierung von ggplot2", color="#BF80FF", target="_top", href="../matplotlib/plotnine/index.html"] scikit_plot [ label="Scikit-plot", tooltip="Plotting-Bibliothek für\nScikit-learn-Objekte", color="#BF80FF", target="_top", href="https://scikit-plot.readthedocs.io/"] yellowbrick [ label="Yellowbrick", tooltip="Tools für die visuelle Analyse und Diagnose\nvon Scikit-learn-Projekten", color="#BF80FF", target="_top", href="https://www.scikit-yb.org/"] networkx [ label="NetworkX", tooltip="Erstellen, Ändern und Analysieren\nkomplexer Netzwerke", color="#BF80FF", target="_top", href="../matplotlib/networkx.html"] graphviz [ label="Graphviz", tooltip="Mächtige Visualisierungssoftware\nfür Graphen", color="#cccccc", target="_top", href="../matplotlib/graphviz.html"] graph_tool [ label="graph-tool", tooltip="Effizientes Python-Modul zur\nManipulation und statistischen Analyse\n von Graphen", color="#cccccc", target="_top", href="../matplotlib/graph-tool.html"] cartopy [ label="Cartopy", tooltip="Erstellen von Karten und\nAnalyse von Geodaten", color="#BF80FF", target="_top", href="../matplotlib/cartopy/index.html"] iris [ label="Iris", tooltip="Visualisierung auf Basis der Climate\nand Forecast (CF) Conventions", color="#BF80FF", target="_top", href="../matplotlib/iris.html"] yt [ label="yt", tooltip="Python-Bibliothek zur Analyse\nund Visualisierung von Volumendaten", color="#BF80FF", target="_top", href="../matplotlib/yt.html"] mpl -- pandas [color="#BF80FF"] mpl -- mpl_scatter_density [color="#BF80FF"] pandas -- geopandas [color="#BF80FF"] mpl -- geoplot [color="#BF80FF"] mpl -- prettymaps [color="#BF80FF"] mpl -- descartes [color="#BF80FF"] mpl -- seaborn [color="#BF80FF"] mpl -- ggpy [color="#BF80FF"] mpl -- plotnine [color="#BF80FF"] mpl -- scikit_plot [color="#BF80FF"] mpl -- yellowbrick [color="#BF80FF"] networkx -- graphviz [color="#BF80FF;0.5:#cccccc", style="dashed"] graphviz -- graph_tool [color="#cccccc;0.5:#cccccc", style="dashed"] mpl -- networkx [color="#BF80FF"] mpl -- cartopy [color="#BF80FF"] iris -- mpl [color="#BF80FF"] iris -- cartopy [color="#BF80FF"] yt -- mpl [color="#BF80FF"] yt -- opengl [color="#BF80FF;0.5:#FF66B3", style="dashed"] mpl -- mpld3 [color="#BF80FF;0.5:#4da6ff"] mpl -- ipympl [color="#BF80FF;0.5:#00FFFF"] mpl -- mpl_altair [color="#BF80FF;0.5:#00FF80"] // Bokeh bokeh [ label="Bokeh", tooltip="Interaktive Python-Bibliothek\nzur Datenvisualisierung\nin modernen Webbrowsern", color="#9999FF", target="_top", href="../bokeh/index.html"] vaex [ label="Vaex", tooltip="Python-Bibliothek zur Datenanalyse\nund -visualisierung", color="#9999FF", target="_top", href="https://github.com/vaexio/vaex"] holoviews [ label="HoloViews", tooltip="Python-Bibliothek zur Datenanalyse\nund -visualisierung", color="#9999FF", target="_top", href="http://holoviews.org/"] hvplot [ label="hvPlot", tooltip="High-level-Plot-API\nauf Basis von HoloViews", color="#9999FF", target="_top", href="../bokeh/integration/holoviews/hvplot/index.html"] datashader [ label="Datashader", tooltip="Grafik-Pipeline-System für\naussagekräftige Darstellungen\ngroßer Datensätze", color="#9999FF", target="_top", href="../bokeh/integration/datashader.html"] geoviews [ label="GeoViews", tooltip="Analysieren und Visualisieren von\ngeographischen, meterologischen\nund ozeanischen Daten", color="#9999FF", target="_top", href="../bokeh/integration/holoviews/geoviews.html"] geoviews -- cartopy [color="#9999FF;0.5:#BF80FF"] geoviews -- holoviews [color="#9999FF"] geoviews -- geopandas [color="#9999FF;0.5:#BF80FF", style="dashed"] vaex -- bokeh [color="#9999FF"] holoviews -- bokeh [color="#9999FF"] holoviews -- hvplot [color="#9999FF"] hvplot -- pandas [color="#9999FF;0.5:#BF80FF"] hvplot -- geopandas [color="#9999FF;0.5:#BF80FF"] hvplot -- networkx [color="#9999FF;0.5:#BF80FF"] datashader -- bokeh [color="#9999FF"] networkx -- bokeh [color="#BF80FF;0.5:#9999FF"] datashader -- holoviews [color="#9999FF"] vaex -- mpl [color="#9999FF;0.5:#BF80FF"] vaex -- bqplot [color="#9999FF;0.5:#4da6ff"] vaex -- opengl [color="#9999FF;0.5:#FF66B3"] holoviews -- mpl [color="#9999FF;0.5:#BF80FF"] datashader -- mpl [color="#9999FF;0.5:#BF80FF"] // Vega vega [ label="Vega", tooltip="Deklarative Sprache für\ninteraktive Visualisierungen", color="#00FF80", target="_top", href="../vega/index.html"] vincent [ label="Vincent", tooltip="Python-Bibliothek für\nVega-Anwendungen", color="#00FF80", target="_top", href="https://vincent.readthedocs.io/"] vega_light [ label="Vega-Lite", tooltip="High-level-Grammatik für\nkomplexe Vega-Anwendungen", color="#00FF80", target="_top", href="https://github.com/vega/vega-lite"] pdvega [ label="PdVega", tooltip="Interaktive Vega-Light-Plots\naus pandas Dataframes", color="#00FF80", target="_top", href="../vega/pdvega/index.html"] altair [ label="Altair", tooltip="Deklarative Visualisierung\nin Python", color="#00FF80", target="_top", href="https://altair-viz.github.io/"] mpl_altair [ label="Matplotlib Altair", tooltip="Matplotlib-Renderer\nfür Altair", color="#00FF80", target="_top", href="https://matplotlib.org/mpl-altair/"] vega -- vincent [color="#00FF80"] vega -- vega_light [color="#00FF80"] vega_light -- altair [color="#00FF80"] vega_light -- pdvega [color="#00FF80"] pdvega -- pandas [color="#00FF80;0.5:#BF80FF"] altair -- mpl_altair [color="#00FF80"] // D3.js d3js [ label="D3.js", tooltip="Javascript-Bibliothek mit mächtigen\nVisualisierungskomponenten", color="#4da6ff", target="_top", href="../d3js/index.html"] bqplot [ label="bqplot", tooltip="Interaktive Plots\nmit D3.js und ipywidgets", color="#4da6ff", target="_top", href="../d3js/bqplot/index.html"] d3po [ label="d3po", tooltip="Javascript-Bibliothekt zum\nErstellen von D3.js-Charts", color="#4da6ff", target="_top", href="https://github.com/adamlabadorf/d3po"] plotly [ label="plotly", tooltip="Interaktive Graphikbibliothek\nfür Python", color="#4da6ff", target="_top", href="https://github.com/plotly/plotly.py"] cufflinks [ label="Cufflinks", tooltip="Interaktive Plotly-Plots\nfür pandas", color="#4da6ff", target="_top", href="https://plot.ly/python/v3/ipython-notebooks/cufflinks/"] mpld3 [ label="mpld3", tooltip="Matplotlib für\nden Webbrowser", color="#4da6ff", target="_top", href="https://mpld3.github.io/"] d3js -- bqplot [color="#4da6ff"] d3js -- mpld3 [color="#4da6ff"] d3js -- plotly [color="#4da6ff"] plotly -- cufflinks [color="#4da6ff"] cufflinks -- pandas [color="#4da6ff;0.5:#BF80FF"] d3js -- d3po [color="#4da6ff"] d3js -- vega [color="#4da6ff;0.5:#00FF80"] d3js -- javascript [color="#4da6ff;0.5:#00FFFF"] // Javascript javascript [ label="Javascript", tooltip="Skriptsprache, die ursprünglich für\ndynamisches HTML in Webbrowsern\nentwickelt wurde", color="#00FFFF", target="_top", href="../js/index.html"] pythreejs [ label="pythreejs", tooltip="Notebook-Extension\nfür WebGL-fähige Webbrowser", color="#00FFFF", target="_top", href="../js/pythreejs.html"] ipyvolume [ label="IPyvolume", tooltip="Python-Bibliothek zur\nVisualisierung von\nVolumen und -Glyphen", color="#00FFFF", target="_top", href="../js/ipyvolume.html"] toyplot [ label="Toyplot", tooltip="Leichtgewichtige Bibliothek\nfür ästhetische Plots", color="#00FFFF", target="_top", href="https://toyplot.readthedocs.io/"] ipyleaflet [ label="ipyleaflet", tooltip="Interaktive Karten für\nJupyter Notebooks", color="#00FFFF", target="_top", href="../js/ipyleaflet.html"] xarray_leaflet [ label="xarray-leaflet", tooltip="xarray extension für Kartendarstellungen", color="#00FFFF", target="_top", href="../js/xarray-leaflet.html"] ipympl [ label="ipympl", tooltip="Matplotlib\nJupyter Extension", color="#00FFFF", target="_top", href="https://jupyter-tutorial.readthedocs.io/de/latest/ipywidgets/libs/ipympl.html"] javascript -- ipyvolume [color="#00FFFF"] javascript -- ipyleaflet [color="#00FFFF"] ipyleaflet -- xarray_leaflet [color="#00FFFF"] javascript -- ipympl [color="#00FFFF"] javascript -- toyplot [color="#00FFFF"] javascript -- bokeh [color="#00FFFF;0.5:#9999FF"] javascript -- pythreejs [color="#00FFFF"] }

Aktivitäten und Lizenzen#

Mit diesem tabellarischen Überblick könnt ihr schnell die Aktivitäten und Lizenzen der verschiedenen Bibliotheken vergleichen.

GitHub-Insights: Core-Libs#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

Matplotlib

https://raster.shields.io/github/stars/matplotlib/matplotlib https://raster.shields.io/github/contributors/matplotlib/matplotlib https://raster.shields.io/github/commit-activity/y/matplotlib/matplotlib https://raster.shields.io/github/license/matplotlib/matplotlib

bokeh

https://raster.shields.io/github/stars/bokeh/bokeh https://raster.shields.io/github/contributors/bokeh/bokeh https://raster.shields.io/github/commit-activity/y/bokeh/bokeh https://raster.shields.io/github/license/bokeh/bokeh

plotly

https://raster.shields.io/github/stars/plotly/plotly.py https://raster.shields.io/github/contributors/plotly/plotly.py https://raster.shields.io/github/commit-activity/y/plotly/plotly.py https://raster.shields.io/github/license/plotly/plotly.py
GitHub-Insights: pandas .plot()-API#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

pandas

https://raster.shields.io/github/stars/pandas-dev/pandas https://raster.shields.io/github/contributors/pandas-dev/pandas https://raster.shields.io/github/commit-activity/y/pandas-dev/pandas https://raster.shields.io/github/license/pandas-dev/pandas

cufflinks

https://raster.shields.io/github/stars/santosjorge/cufflinks https://raster.shields.io/github/contributors/santosjorge/cufflinks https://raster.shields.io/github/commit-activity/y/santosjorge/cufflinks https://raster.shields.io/github/license/santosjorge/cufflinks

hvplot

https://raster.shields.io/github/stars/holoviz/hvplot https://raster.shields.io/github/contributors/holoviz/hvplot https://raster.shields.io/github/commit-activity/y/holoviz/hvplot https://raster.shields.io/github/license/holoviz/hvplot
GitHub-Insights: Weitere High-Level-APIs#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

seaborn

https://raster.shields.io/github/stars/mwaskom/seaborn https://raster.shields.io/github/contributors/mwaskom/seaborn https://raster.shields.io/github/commit-activity/y/mwaskom/seaborn https://raster.shields.io/github/license/mwaskom/seaborn

altair

https://raster.shields.io/github/stars/altair-viz/altair https://raster.shields.io/github/contributors/altair-viz/altair https://raster.shields.io/github/commit-activity/y/altair-viz/altair https://raster.shields.io/github/license/altair-viz/altair

holoviews

https://raster.shields.io/github/stars/holoviz/holoviews https://raster.shields.io/github/contributors/holoviz/holoviews https://raster.shields.io/github/commit-activity/y/holoviz/holoviews https://raster.shields.io/github/license/holoviz/holoviews

bqplot

https://raster.shields.io/github/stars/bqplot/bqplot https://raster.shields.io/github/contributors/bqplot/bqplot https://raster.shields.io/github/commit-activity/y/bqplot/bqplot https://raster.shields.io/github/license/bqplot/bqplot

vega

https://raster.shields.io/github/stars/vega/vega https://raster.shields.io/github/contributors/vega/vega https://raster.shields.io/github/commit-activity/y/vega/vega https://raster.shields.io/github/license/vega/vega

Vega-Lite

https://raster.shields.io/github/stars/vega/vega-lite https://raster.shields.io/github/contributors/vega/vega-lite https://raster.shields.io/github/commit-activity/y/vega/vega-lite https://raster.shields.io/github/license/vega/vega-lite

toyplot

https://raster.shields.io/github/stars/sandialabs/toyplot https://raster.shields.io/github/contributors/sandialabs/toyplot https://raster.shields.io/github/commit-activity/y/sandialabs/toyplot https://raster.shields.io/github/license/sandialabs/toyplot

plotnine

https://raster.shields.io/github/stars/has2k1/plotnine https://raster.shields.io/github/contributors/has2k1/plotnine https://raster.shields.io/github/commit-activity/y/has2k1/plotnine https://raster.shields.io/github/license/has2k1/plotnine
GitHub-Insights: 3D-Darstellungen#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

pythreejs

https://raster.shields.io/github/stars/jupyter-widgets/pythreejs https://raster.shields.io/github/contributors/jupyter-widgets/pythreejs https://raster.shields.io/github/commit-activity/y/jupyter-widgets/pythreejs https://raster.shields.io/github/license/jupyter-widgets/pythreejs

ipyvolume

https://raster.shields.io/github/stars/widgetti/ipyvolume https://raster.shields.io/github/contributors/widgetti/ipyvolume https://raster.shields.io/github/commit-activity/y/widgetti/ipyvolume https://raster.shields.io/github/license/widgetti/ipyvolume
GitHub-Insights: Geographie#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

cartopy

https://raster.shields.io/github/stars/SciTools/cartopy https://raster.shields.io/github/contributors/SciTools/cartopy https://raster.shields.io/github/commit-activity/y/SciTools/cartopy https://raster.shields.io/github/license/SciTools/cartopy

GeoViews

https://raster.shields.io/github/stars/holoviz/geoviews https://raster.shields.io/github/contributors/holoviz/geoviews https://raster.shields.io/github/commit-activity/y/holoviz/geoviews https://raster.shields.io/github/license/holoviz/geoviews

ipyleaflet

https://raster.shields.io/github/stars/jupyter-widgets/ipyleaflet https://raster.shields.io/github/contributors/jupyter-widgets/ipyleaflet https://raster.shields.io/github/commit-activity/y/jupyter-widgets/ipyleaflet https://raster.shields.io/github/license/jupyter-widgets/ipyleaflet

xarray-leaflet

https://raster.shields.io/github/stars/davidbrochart/xarray_leaflet https://raster.shields.io/github/contributors/davidbrochart/xarray_leaflet https://raster.shields.io/github/commit-activity/y/davidbrochart/xarray_leaflet https://raster.shields.io/github/license/davidbrochart/xarray_leaflet

xtrude

https://raster.shields.io/github/stars/davidbrochart/xtrude https://raster.shields.io/github/contributors/davidbrochart/xtrude https://raster.shields.io/github/commit-activity/y/davidbrochart/xtrude https://raster.shields.io/github/license/davidbrochart/xtrude

geopandas

https://raster.shields.io/github/stars/geopandas/geopandas https://raster.shields.io/github/contributors/geopandas/geopandas https://raster.shields.io/github/commit-activity/y/geopandas/geopandas https://raster.shields.io/github/license/geopandas/geopandas

geoplot

https://raster.shields.io/github/stars/ResidentMario/geoplot https://raster.shields.io/github/contributors/ResidentMario/geoplot https://raster.shields.io/github/commit-activity/y/ResidentMario/geoplot https://raster.shields.io/github/license/ResidentMario/geoplot

prettymaps

https://raster.shields.io/github/stars/marceloprates/prettymaps https://raster.shields.io/github/contributors/marceloprates/prettymaps https://raster.shields.io/github/commit-activity/y/marceloprates/prettymaps https://raster.shields.io/github/license/marceloprates/prettymaps
GitHub-Insights: Graphen und Netzwerke#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

networkx

https://raster.shields.io/github/stars/networkx/networkx https://raster.shields.io/github/contributors/networkx/networkx https://raster.shields.io/github/commit-activity/y/networkx/networkx https://raster.shields.io/github/license/networkx/networkx

graphviz

https://raster.shields.io/github/stars/xflr6/graphviz https://raster.shields.io/github/contributors/xflr6/graphviz https://raster.shields.io/github/commit-activity/y/xflr6/graphviz https://raster.shields.io/github/license/xflr6/graphviz
GitHub-Insights: Rendern großer Datenmengen#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

datashader

https://raster.shields.io/github/stars/holoviz/datashader https://raster.shields.io/github/contributors/holoviz/datashader https://raster.shields.io/github/commit-activity/y/holoviz/datashader https://raster.shields.io/github/license/holoviz/datashader

vaex

https://raster.shields.io/github/stars/vaexio/vaex https://raster.shields.io/github/contributors/vaexio/vaex https://raster.shields.io/github/commit-activity/y/vaexio/vaex https://raster.shields.io/github/license/vaexio/vaex

mpl-scatter-density

https://raster.shields.io/github/stars/astrofrog/mpl-scatter-density https://raster.shields.io/github/contributors/astrofrog/mpl-scatter-density https://raster.shields.io/github/commit-activity/y/astrofrog/mpl-scatter-density https://raster.shields.io/github/license/astrofrog/mpl-scatter-density
GitHub-Insights: OpenGL#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

vispy

https://raster.shields.io/github/stars/vispy/vispy https://raster.shields.io/github/contributors/vispy/vispy https://raster.shields.io/github/commit-activity/y/vispy/vispy https://raster.shields.io/github/license/vispy/vispy

Mayavi

https://raster.shields.io/github/stars/enthought/mayavi https://raster.shields.io/github/contributors/enthought/mayavi https://raster.shields.io/github/commit-activity/y/enthought/mayavi https://raster.shields.io/github/license/enthought/mayavi

itkwidgets

https://raster.shields.io/github/stars/InsightSoftwareConsortium/itkwidgets https://raster.shields.io/github/contributors/InsightSoftwareConsortium/itkwidgets https://raster.shields.io/github/commit-activity/y/InsightSoftwareConsortium/itkwidgets https://raster.shields.io/github/license/InsightSoftwareConsortium/itkwidgets

vedo

https://raster.shields.io/github/stars/marcomusy/vedo https://raster.shields.io/github/contributors/marcomusy/vedo https://raster.shields.io/github/commit-activity/y/marcomusy/vedo https://raster.shields.io/github/license/marcomusy/vedo

polyscope

https://raster.shields.io/github/stars/nmwsharp/polyscope https://raster.shields.io/github/contributors/nmwsharp/polyscope https://raster.shields.io/github/commit-activity/y/nmwsharp/polyscope https://raster.shields.io/github/license/nmwsharp/polyscope

glumpy

https://raster.shields.io/github/stars/glumpy/glumpy https://raster.shields.io/github/contributors/glumpy/glumpy https://raster.shields.io/github/commit-activity/y/glumpy/glumpy https://raster.shields.io/github/license/glumpy/glumpy
GitHub-Insights: Weitere Bibliotheken#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

Yellowbrick

https://raster.shields.io/github/stars/DistrictDataLabs/yellowbrick https://raster.shields.io/github/contributors/DistrictDataLabs/yellowbrick https://raster.shields.io/github/commit-activity/y/DistrictDataLabs/yellowbrick https://raster.shields.io/github/license/DistrictDataLabs/yellowbrick

iris

https://raster.shields.io/github/stars/SciTools/iris https://raster.shields.io/github/contributors/SciTools/iris https://raster.shields.io/github/commit-activity/y/SciTools/iris https://raster.shields.io/github/license/SciTools/iris

yt

https://raster.shields.io/github/stars/yt-project/yt https://raster.shields.io/github/contributors/yt-project/yt https://raster.shields.io/github/commit-activity/y/yt-project/yt https://raster.shields.io/github/license/yt-project/yt

mpld3

https://raster.shields.io/github/stars/mpld3/mpld3 https://raster.shields.io/github/contributors/mpld3/mpld3 https://raster.shields.io/github/commit-activity/y/mpld3/mpld3 https://raster.shields.io/github/license/mpld3/mpld3

ipympl

https://raster.shields.io/github/stars/matplotlib/ipympl https://raster.shields.io/github/contributors/matplotlib/ipympl https://raster.shields.io/github/commit-activity/y/matplotlib/ipympl https://raster.shields.io/github/license/matplotlib/ipympl
GitHub-Insights: Farbkarten#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

colorcet

https://raster.shields.io/github/stars/holoviz/colorcet https://raster.shields.io/github/contributors/holoviz/colorcet https://raster.shields.io/github/commit-activity/y/holoviz/colorcet https://raster.shields.io/github/license/holoviz/colorcet

palettable

https://raster.shields.io/github/stars/jiffyclub/palettable https://raster.shields.io/github/contributors/jiffyclub/palettable https://raster.shields.io/github/commit-activity/y/jiffyclub/palettable https://raster.shields.io/github/license/jiffyclub/palettable

distinctipy

https://raster.shields.io/github/stars/alan-turing-institute/distinctipy https://raster.shields.io/github/contributors/alan-turing-institute/distinctipy https://raster.shields.io/github/commit-activity/y/alan-turing-institute/distinctipy https://raster.shields.io/github/license/alan-turing-institute/distinctipy

cmocean

https://raster.shields.io/github/stars/matplotlib/cmocean https://raster.shields.io/github/contributors/matplotlib/cmocean https://raster.shields.io/github/commit-activity/y/matplotlib/cmocean https://raster.shields.io/github/license/matplotlib/cmocean

cmcrameri

https://raster.shields.io/github/stars/callumrollo/cmcrameri https://raster.shields.io/github/contributors/callumrollo/cmcrameri https://raster.shields.io/github/commit-activity/y/callumrollo/cmcrameri https://raster.shields.io/github/license/callumrollo/cmcrameri

CMasher

https://raster.shields.io/github/stars/1313e/CMasher https://raster.shields.io/github/contributors/1313e/CMasher https://raster.shields.io/github/commit-activity/y/1313e/CMasher https://raster.shields.io/github/license/1313e/CMasher
GitHub-Insights: Ruhende Projekte (Stand: 11.04.2020)#

Name

Stars

Mitwirkende

Commit-Aktivität

Lizenz

PdVega

https://raster.shields.io/github/stars/altair-viz/pdvega https://raster.shields.io/github/contributors/altair-viz/pdvega https://raster.shields.io/github/commit-activity/y/altair-viz/pdvega https://raster.shields.io/github/license/altair-viz/pdvega

graph-tool

https://raster.shields.io/github/stars/antmd/graph-tool https://raster.shields.io/github/contributors/antmd/graph-tool https://raster.shields.io/github/commit-activity/y/antmd/graph-tool https://raster.shields.io/github/license/antmd/graph-tool

ggpy

https://raster.shields.io/github/stars/yhat/ggpy https://raster.shields.io/github/contributors/yhat/ggpy https://raster.shields.io/github/commit-activity/y/yhat/ggpy https://raster.shields.io/github/license/yhat/ggpy

scikit-plot

https://raster.shields.io/github/stars/reiinakano/scikit-plot https://raster.shields.io/github/contributors/reiinakano/scikit-plot https://raster.shields.io/github/commit-activity/y/reiinakano/scikit-plot https://raster.shields.io/github/license/reiinakano/scikit-plot

d3po

https://raster.shields.io/github/stars/adamlabadorf/d3po https://raster.shields.io/github/contributors/adamlabadorf/d3po https://raster.shields.io/github/commit-activity/y/adamlabadorf/d3po https://raster.shields.io/github/license/adamlabadorf/d3po

vincent

https://raster.shields.io/github/stars/wrobstory/vincent https://raster.shields.io/github/contributors/wrobstory/vincent https://raster.shields.io/github/commit-activity/y/wrobstory/vincent https://raster.shields.io/github/license/wrobstory/vincent

Matplotlib Altair

https://raster.shields.io/github/stars/matplotlib/mpl-altair https://raster.shields.io/github/contributors/matplotlib/mpl-altair https://raster.shields.io/github/commit-activity/y/matplotlib/mpl-altair https://raster.shields.io/github/license/matplotlib/mpl-altair

Weitere Informationen über Lizenzen erhaltet ihr im Python für Data Science.

Diagrammtypen#

Datengröße#

Die Architektur und die zugrundeliegende Technologie für jede Bibliothek bestimmen die unterstützten Datengrößen und somit, ob die Bibliothek für mehrdimensionale Arrays, lange Zeitreihen oder andere große Datasets geeignet ist:

  • OpenGL-Basierte Bibliotheken können i.A. sehr große Datensätze (mehrere Gigabyte) verarbeiten.

  • Matplotlib-basierte Bibliotheken können i.d.R. Hunderttausende von Punkten mit angemessener Leistung verarbeiten oder in bestimmten Sonderfällen (z.B. abhängig vom Backend) mehr.

  • Javascript-basierte Bibliotheken sind ohne besondere Behandlung beschränkt auf einige tausend bis hunderttausend Punkte.

    ipywidgets, Bokeh und Plotly nutzen statt JSON jedoch spezielle Transportmechanismen für Binärdaten, sodass sie hunderttausende bis Millionen von Datenpunkten verarbeiten können.

    Andere Bibliotheken wie ipyvolume, Plotly und in einigen Fällen Bokeh nutzen WebGL, sodass sie bis zu einer Millionen Datenpunkte verarbeiten können.

  • Server-side Rendering mit datashader oder Vaex ermöglichen Milliarden, Billionen oder mehr Datenpunkte.