|
5 | 5 | - repo: matplotlib/matplotlib
|
6 | 6 | sponsors: [numfocus]
|
7 | 7 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 8 | + builton: matplotlib |
8 | 9 |
|
9 | 10 | - repo: plotly/plotly.py
|
10 | 11 | sponsors: [plotly]
|
11 | 12 | pypi_name: plotly
|
12 | 13 | conda_package: plotly
|
13 | 14 | site: https://plot.ly
|
14 | 15 | badges: circleci, pypi, conda, site
|
| 16 | + builton: plotly |
15 | 17 |
|
16 | 18 | - repo: bokeh/bokeh
|
17 | 19 | sponsors: [numfocus, anaconda]
|
18 | 20 | badges: travis, pypi, conda, site
|
| 21 | + builton: bokeh |
19 | 22 |
|
20 | 23 | - name: High-Level Shared API
|
21 | 24 | intro: Libraries sharing the Pandas .plot() API, built upon the core Python or JS libraries.
|
|
25 | 28 | sponsors: [numfocus]
|
26 | 29 | site: https://pandas.pydata.org
|
27 | 30 | badges: travis, appveyor, codecov, rtd, pypi, conda, site
|
| 31 | + builton: matplotlib |
28 | 32 |
|
29 | 33 | - repo: pydata/xarray
|
30 | 34 | sponsors: [numfocus]
|
31 | 35 | appveyor_project: shoyer/xray
|
32 | 36 | site: https://xarray.pydata.org
|
33 | 37 | badges: travis, appveyor, coveralls, rtd, pypi, conda, site
|
| 38 | + builton: matplotlib |
34 | 39 |
|
35 | 40 | - repo: santosjorge/cufflinks
|
36 | 41 | site: https://github.com/santosjorge/cufflinks/blob/master/README.md
|
37 | 42 | badges: circleci, pypi, site
|
| 43 | + builton: plotly |
38 | 44 |
|
39 | 45 | - repo: pyviz/hvplot
|
40 | 46 | sponsors: [anaconda]
|
41 | 47 | site: https://hvplot.pyviz.org
|
42 | 48 | badges: travis, appveyor, pypi, conda, site
|
| 49 | + builton: bokeh |
43 | 50 |
|
44 | 51 | - repo: PatrikHlobil/Pandas-Bokeh
|
45 | 52 | site: https://github.com/PatrikHlobil/Pandas-Bokeh/blob/master/README.md
|
46 | 53 | badges: pypi, site
|
| 54 | + builton: bokeh |
47 | 55 |
|
48 | 56 | - repo: altair-viz/pdvega
|
49 | 57 | site: https://altair-viz.github.io/pdvega
|
50 | 58 | badges: travis, pypi, site
|
| 59 | + builton: vega |
51 | 60 |
|
52 | 61 | - name: High-Level
|
53 | 62 | intro: InfoVis Libraries focusing on high-level operations for working with data visually, built upon the core Python or JS libraries.
|
|
56 | 65 | - repo: mwaskom/seaborn
|
57 | 66 | site: https://seaborn.pydata.org
|
58 | 67 | badges: travis, codecov, pypi, conda, site
|
| 68 | + builton: matplotlib |
59 | 69 |
|
60 | 70 | - repo: altair-viz/altair
|
61 | 71 | site: https://altair-viz.github.io
|
62 | 72 | conda_channel: conda-forge
|
63 | 73 | badges: travis, pypi, conda, site
|
| 74 | + builton: vega |
64 | 75 |
|
65 | 76 | - repo: pyviz/holoviews
|
66 | 77 | sponsors: [anaconda]
|
67 | 78 | appveyor_project: pyviz/holoviews-ginxt
|
68 | 79 | badges: travis, appveyor, coveralls, pypi, conda, site
|
| 80 | + builton: bokeh, matplotlib, plotly |
69 | 81 |
|
70 | 82 | - repo: plotly/plotly_express
|
71 | 83 | sponsors: [plotly]
|
72 | 84 | site: https://plotly.express
|
73 | 85 | badges: pypi, site
|
| 86 | + builton: plotly |
74 | 87 |
|
75 | 88 | - repo: spotify/chartify
|
76 | 89 | sponsors: [spotify]
|
77 | 90 | conda_channel: conda-forge
|
78 | 91 | site: https://github.com/spotify/chartify/blob/master/README.rst
|
79 | 92 | badges: travis, pypi, conda, site
|
| 93 | + builton: bokeh |
80 | 94 |
|
81 | 95 | - repo: AutoViML/AutoViz
|
82 | 96 | site: https://github.com/AutoViML/AutoViz
|
|
119 | 133 | - repo: has2k1/plotnine
|
120 | 134 | conda_channel: conda-forge
|
121 | 135 | badges: pypi, conda, rtd
|
122 |
| - |
| 136 | + builton: matplotlib |
| 137 | + |
123 | 138 | - repo: bloomberg/bqplot
|
124 | 139 | conda_channel: conda-forge
|
125 | 140 | badges: pypi, conda, rtd
|
|
143 | 158 | site: https://vtk.org/
|
144 | 159 | conda_channel: conda-forge
|
145 | 160 | badges: travis, pypi, conda, site
|
| 161 | + builton: vtk |
146 | 162 |
|
147 | 163 | - repo: vispy/vispy
|
148 | 164 | conda_channel: conda-forge
|
149 | 165 | site: http://vispy.org
|
150 | 166 | badges: travis, appveyor, coveralls, pypi, conda, site
|
| 167 | + builton: opengl |
151 | 168 |
|
152 | 169 | - repo: maartenbreddels/ipyvolume
|
153 | 170 | conda_channel: conda-forge
|
| 171 | + builton: opengl, webgl |
154 | 172 |
|
155 | 173 | - repo: enthought/mayavi
|
156 | 174 | sponsors: [enthought]
|
157 | 175 | site: https://docs.enthought.com/mayavi/mayavi
|
158 | 176 | appveyor_project: EnthoughtOSS/mayavi
|
159 | 177 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 178 | + builton: vtk, opengl |
160 | 179 |
|
161 | 180 | - repo: pyvista/pyvista
|
162 | 181 | site: https://docs.pyvista.org
|
163 | 182 | conda_channel: conda-forge
|
| 183 | + builton: vtk |
164 | 184 |
|
165 | 185 | - repo: InsightSoftwareConsortium/itkwidgets
|
166 | 186 | pypi_name: itkwidgets
|
167 | 187 | conda_package: itkwidgets
|
168 | 188 | conda_channel: conda-forge
|
169 | 189 | badges: pypi, conda, circleci
|
| 190 | + builton: webgl |
170 | 191 |
|
171 | 192 | - repo: glumpy/glumpy
|
172 | 193 | badges: pypi, rtd
|
| 194 | + builton: opengl |
173 | 195 |
|
174 | 196 | - name: Geospatial
|
175 | 197 | intro: Tools for working with data in geographic coordinates.
|
|
178 | 200 | - repo: geopandas/geopandas
|
179 | 201 | site: http://geopandas.org
|
180 | 202 | conda_channel: conda-forge
|
| 203 | + builton: matplotlib |
181 | 204 |
|
182 | 205 | - repo: python-visualization/folium
|
183 | 206 | site: https://python-visualization.github.io/folium
|
184 | 207 | conda_channel: conda-forge
|
| 208 | + builton: leaflet |
185 | 209 |
|
186 | 210 | - repo: SciTools/cartopy
|
187 | 211 | sponsors: [metoffice]
|
188 | 212 | site: https://scitools.org.uk/cartopy
|
189 | 213 | badges: travis, appveyor, coveralls, pypi, conda, site
|
| 214 | + builton: matplotlib |
190 | 215 |
|
191 | 216 | - repo: vgm64/gmplot
|
192 | 217 | badges: pypi
|
193 | 218 |
|
194 | 219 | - repo: jupyter-widgets/ipyleaflet
|
195 | 220 | conda_channel: conda-forge
|
196 | 221 | badges: pypi, conda, rtd
|
| 222 | + builton: leaflet |
197 | 223 |
|
198 | 224 | - repo: pyviz/geoviews
|
199 | 225 | sponsors: [anaconda]
|
200 | 226 | site: http://geoviews.org
|
201 | 227 | badges: travis, appveyor, pypi, conda, site
|
| 228 | + builton: bokeh, matplotlib, plotly |
202 | 229 |
|
203 | 230 | - repo: ResidentMario/geoplot
|
204 | 231 | site: https://residentmario.github.io/geoplot
|
205 | 232 | conda_channel: conda-forge
|
206 | 233 | badges: pypi, conda, site
|
| 234 | + builton: matplotlib |
207 | 235 |
|
208 | 236 | - repo: andrea-cuttone/geoplotlib
|
209 | 237 | site: https://github.com/andrea-cuttone/geoplotlib/wiki/User-Guide
|
210 | 238 | badges: pypi
|
| 239 | + builton: opengl |
211 | 240 |
|
212 | 241 | - name: Other domain-specific
|
213 | 242 | intro: Tools focused on specific research or application areas other than those above.
|
|
217 | 246 | site: https://networkx.github.io
|
218 | 247 | appveyor_project: dschult/networkx-pqott
|
219 | 248 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 249 | + builton: matplotlib |
220 | 250 |
|
221 | 251 | - repo: scikit-image/scikit-image
|
222 | 252 | site: https://scikit-image.org
|
223 | 253 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 254 | + builton: matplotlib |
224 | 255 |
|
225 | 256 | - repo: ResidentMario/missingno
|
226 | 257 | conda_channel: conda-forge
|
| 258 | + builton: matplotlib |
227 | 259 |
|
228 | 260 | - repo: arviz-devs/arviz
|
229 | 261 | sponsors: [numfocus]
|
230 | 262 | site: https://arviz-devs.github.io/arviz
|
231 | 263 | conda_channel: conda-forge
|
232 | 264 | badges: pypi, travis, azure, coveralls, conda, site
|
| 265 | + builton: matplotlib |
233 | 266 |
|
234 | 267 | - repo: reiinakano/scikit-plot
|
235 | 268 | site: https://github.com/reiinakano/scikit-plot
|
236 | 269 | conda_channel: conda-forge
|
237 | 270 | badges: pypi, conda, site
|
| 271 | + builton: matplotlib |
238 | 272 |
|
239 | 273 | - repo: DistrictDataLabs/yellowbrick
|
240 | 274 | site: https://www.scikit-yb.org
|
241 | 275 | sponsors: [numfocus]
|
242 | 276 | conda_channel: DistrictDataLabs
|
243 | 277 | badges: travis, appveyor, pypi, conda, site
|
| 278 | + builton: matplotlib |
244 | 279 |
|
245 | 280 | - repo: Unidata/MetPy
|
246 | 281 | sponsors: [unidata]
|
247 | 282 | site: https://unidata.github.io/MetPy
|
248 | 283 | conda_channel: conda-forge
|
249 | 284 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 285 | + builton: matplotlib |
250 | 286 |
|
251 | 287 | - repo: yt-project/yt
|
252 | 288 | sponsors: [numfocus]
|
253 | 289 | site: https://yt-project.org
|
254 | 290 | badges: travis, codecov, pypi, conda, site
|
| 291 | + builton: matplotlib |
255 | 292 |
|
256 | 293 | - repo: epfl-lts2/pygsp
|
257 | 294 | site: https://pygsp.readthedocs.io
|
|
260 | 297 |
|
261 | 298 | - repo: ContextLab/hypertools
|
262 | 299 | badges: pypi, rtd
|
| 300 | + builton: matplotlib |
263 | 301 |
|
264 | 302 | - repo: ismms-himc/clustergrammer2
|
265 | 303 | site: https://clustergrammer.readthedocs.io
|
266 | 304 | badges: pypi, site
|
| 305 | + builton: webgl |
267 | 306 |
|
268 | 307 | - repo: skewed/graph-tool
|
269 | 308 | site: http://graph-tool.skewed.de
|
|
276 | 315 | - repo: astrofrog/mpl-scatter-density
|
277 | 316 | site: https://github.com/astrofrog/mpl-scatter-density
|
278 | 317 | badges: travis, appveyor, pypi, conda, site
|
| 318 | + builton: matplotlib |
279 | 319 |
|
280 | 320 | - repo: pyviz/datashader
|
281 | 321 | sponsors: [anaconda]
|
|
297 | 337 | conda_channel: conda-forge
|
298 | 338 | site: https://dash.plot.ly
|
299 | 339 | badges: circleci, pypi, conda, site
|
| 340 | + builton: plotly |
300 | 341 |
|
301 | 342 | - repo: pyviz/panel
|
302 | 343 | sponsors: [anaconda]
|
303 | 344 | site: https://panel.pyviz.org
|
304 | 345 | badges: travis, appveyor, codecov, pypi, conda, site
|
| 346 | + builton: bokeh |
305 | 347 |
|
306 | 348 | - repo: streamlit/streamlit
|
307 | 349 | site: https://streamlit.io
|
|
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