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| other:uvcdat:cdat_conda:cdat_2024_03 [2026/08/24 10:50] – [Extra packages list] Added rich jypeter | other:uvcdat:cdat_conda:cdat_2024_03 [2026/10/19 09:51] (current) – [Extra packages list] Added conda-which warning jypeter |
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| * [[https://github.com/AutoViML/AutoViz|AutoViz]]: the One-Line Automatic Data Visualization Library. Automatically Visualize any dataset, any size with a single line of code | * [[https://github.com/AutoViML/AutoViz|AutoViz]]: the One-Line Automatic Data Visualization Library. Automatically Visualize any dataset, any size with a single line of code |
| * [[https://matplotlib.org/basemap/|basemap]]: a library for plotting 2D data on maps in Python | * [[https://matplotlib.org/basemap/|basemap]]: a library for plotting 2D data on maps in Python |
| | * 2026-09: <wrap hi>''basemap'' can't be installed with a recent version of ''numpy'' (''numpy >= 2.4'')</wrap>, see [[https://github.com/matplotlib/basemap/issues/655|Add numpy 2.5 compatibility]] |
| * [[missing|basemap-data]] and [[https://github.com/conda-forge/basemap-data-hires-feedstock|basemap-data-hires]]: (high resolution) data for ''basemap'' | * [[missing|basemap-data]] and [[https://github.com/conda-forge/basemap-data-hires-feedstock|basemap-data-hires]]: (high resolution) data for ''basemap'' |
| * [[https://blosc.org/python-blosc2/getting_started/overview.html|Python-Blosc2]]: a high-performance compressed ''ndarray'' library with a flexible compute engine | * [[https://blosc.org/python-blosc2/getting_started/overview.html|Python-Blosc2]]: a high-performance compressed ''ndarray'' library with a flexible compute engine |
| * [[https://conda.github.io/conda-pypi/|conda-pypi]]: provides better PyPI interoperability for the conda ecosystem | * [[https://conda.github.io/conda-pypi/|conda-pypi]]: provides better PyPI interoperability for the conda ecosystem |
| * [[https://github.com/kelvinou01/conda-which|conda-which]]: find the package owning a file | * [[https://github.com/kelvinou01/conda-which|conda-which]]: find the package owning a file |
| | * <wrap hi>[[https://github.com/kelvinou01/conda-which/issues/7|conda-which 0.2.2 BREAKS conda > 26.7]]</wrap> |
| * See the [[https://github.com/conda/conda/issues/14026|Is there an easy way to find the package "owning" a file ?]] GH issue | * See the [[https://github.com/conda/conda/issues/14026|Is there an easy way to find the package "owning" a file ?]] GH issue |
| * [[https://www.cvxpy.org/|cvxpy]]: an open source Python-embedded modeling language for convex optimization problems | * [[https://www.cvxpy.org/|cvxpy]]: an open source Python-embedded modeling language for convex optimization problems |
| * See also ''pynco'', ''cdo'' | * See also ''pynco'', ''cdo'' |
| * [[https://netgraph.readthedocs.io/|netgraph]]: publication-quality network visualisations in python | * [[https://netgraph.readthedocs.io/|netgraph]]: publication-quality network visualisations in python |
| | * FIXME: need a temporary version until [[https://github.com/paulbrodersen/netgraph/issues/106|"Community Node Layout" example broken with numpy>2.4.6]] is fixed |
| | * ''conda create -n masa_tmp matplotlib networkx netgraph 'numpy<2.5.0' pandas openpyxl'' |
| * [[https://networkx.org/|networkx]]: a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex network | * [[https://networkx.org/|networkx]]: a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex network |
| * [[https://pypi.org/project/nicopal/|nicopal]]: perceptually uniform and colour-vision-deficiency-friendly colour palettes for scientific data visualisation | * [[https://pypi.org/project/nicopal/|nicopal]]: perceptually uniform and colour-vision-deficiency-friendly colour palettes for scientific data visualisation |
| * [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data | * [[https://peakutils.readthedocs.io/|PeakUtils]]: utilities related to the detection of peaks on 1D data |
| * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork | * [[https://python-pillow.org/|pillow]]: the friendly PIL (//Python Imaging Library//) fork |
| | * [[https://platformdirs.readthedocs.io/|platformdirs]]: a Python library for determining platform-specific system directories (resolves the correct location for macOS, Windows, Linux/Unix, and Android) |
| * [[https://plotly.com/python/|plotly]]: Plotly's Python graphing library (sometimes referred to as //plotly.py//) makes interactive, publication-quality graphs | * [[https://plotly.com/python/|plotly]]: Plotly's Python graphing library (sometimes referred to as //plotly.py//) makes interactive, publication-quality graphs |
| * see also ''python-kaleido'' and ''dash'' | * see also ''python-kaleido'' and ''dash'' |
| * //proplot//: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics | * //proplot//: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics |
| * **Replaced by ''ultraplot''** | * **Replaced by ''ultraplot''** |
| | * [[https://psutil.readthedocs.io/|psutil]]: a cross-platform library for retrieving information on running processes and system utilization |
| * [[https://psyplot.github.io/|psyplot]]: Interactive Data Visualization from Python and GUIs | * [[https://psyplot.github.io/|psyplot]]: Interactive Data Visualization from Python and GUIs |
| * [[https://www.pygmt.org/latest/|PyGMT]]: a Python interface for the [[https://www.generic-mapping-tools.org/|Generic Mapping Tools]] | * [[https://www.pygmt.org/latest/|PyGMT]]: a Python interface for the [[https://www.generic-mapping-tools.org/|Generic Mapping Tools]] |
| * [[https://geog-312.gishub.org/book/geospatial/rioxarray.html|rioxarray tutorial]] | * [[https://geog-312.gishub.org/book/geospatial/rioxarray.html|rioxarray tutorial]] |
| * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process | * [[https://rpy2.github.io/|rpy2]]: an interface to R running embedded in a Python process |
| | * [[https://salib.readthedocs.io/|SALib]]: Python implementations of commonly used sensitivity analysis methods, including Sobol, Morris, and FAST methods. Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest |
| * [[https://scikit.bio/|scikit-bio]]: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources | * [[https://scikit.bio/|scikit-bio]]: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources |
| * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python | * [[http://scikit-image.org/|scikit-image]]: a collection of algorithms for image processing in Python |
| * [[https://ultraplot.readthedocs.io/en/latest/|UltraPlot]]: a succinct matplotlib wrapper for making beautiful, publication-quality graphics | * [[https://ultraplot.readthedocs.io/en/latest/|UltraPlot]]: a succinct matplotlib wrapper for making beautiful, publication-quality graphics |
| * [[https://uxarray.readthedocs.io/|uxarray]]: provide xarray styled functionality for unstructured grid datasets following [[https://ugrid-conventions.github.io/ugrid-conventions/|UGRID Conventions]] | * [[https://uxarray.readthedocs.io/|uxarray]]: provide xarray styled functionality for unstructured grid datasets following [[https://ugrid-conventions.github.io/ugrid-conventions/|UGRID Conventions]] |
| | * [[https://amueller.github.io/word_cloud/|wordcloud]]: A little //word cloud// generator in Python |
| * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! | * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun! |
| * See also: ''flox'', ''xcdat'', ''rioxarray'', ... | * See also: ''flox'', ''xcdat'', ''rioxarray'', ... |
