Biggles has no update on Github for 2 years. Seems it is dormant and should be moved to "Dormant projects" in https://pyviz.org/tools.html.

Further evidence: biggles-plot/biggles#144

I recently started exploring pyviz suite of tools and absolutely love them! Some amazing algorithms that work together so seamlessly and efficiently.

Is it possible to share df global variable (w.r.t OSMExplorer class) across users in this tutorial?

The motivation is to reduce initial load times for users. Currently my app takes more than a minute the first time I load a page in a browser after bokeh serve. If I open a new incognito window (to mimic another user), it again takes a minute. I'm assuming this happens because a new df is created for every user session. Just like Pandas creates views on every transformation, mimicking a copy, can I do something in OSMExplorer.do_view as well? Unable to share the dashboard to others as it too long to load.

Thanks in advance for help :)

As of #11, the tools listing includes dormant projects, along with a link to the indication that they are dormant. For the ones currently included, the link goes either to a public statement that the package is no longer being maintained, or to a listing of repository activity that shows essentially no development over the preceding two years.

Hopefully this list will help people make sense of the many available projects, steering people to an appropriate alternative. In some cases, there is a public statement by the library author of what library to consider instead, e.g.:

• visvis was superseded by vispy
• galry was superseded by vispy
• lightning suggests using plotly instead
• basemap suggests using cartopy

In other cases, there seems to be a very reasonable alternative to suggest:

• ggpy/ggplot was rewritten to become plotnine
• vincent was a Vega wrapper, like the currently maintained altair.

We could include this information in the listing ("Suggested alternative"?), but it might get a bit tricky; e.g. lots of libraries could claim to be good alternatives to Lightning. For now we've omitted that information, but discussion could happen here if someone wants to include it.

Hey Folks,

We are getting ready to publish a blog post on visualization and we wanted to include an updated "Python visualization landscape" diagram.

I've seen the WIP on #122 and that looks like a great way of thinking about things, but for our purposes, we like the structure of the existing diagram since it sends the message that the libraries target different runtimes so to speak: javascript, matplotlib, opengl, desktop etc.

This is really short notice (we are hoping to publish our blog post early next week), but I wanted to see if I could get any feedback from folks on:

• what packages are now outdated and should be dropped from the viz
• what new packages should be added and where should they be connected (i.e hvplot, napari etc)

We are going for a minor update that keep the same main structure of the existing diagram.

Any feedback we can get this weekend is appreciated and we will probably make a static image for the blog and then continue to work here to make an actual PR to improve the pyviz version.

@kcpevey @philippjfr @jbednar @pierrotsmnrd

I am installing on a new windows computer (This was working previously for me on my existing computer)

Following the instructions from https://holoviz.org/installation.html

Step 2. Fails with the following error message

(base) D:\>conda activate holoviz-tutorial

(holoviz-tutorial) D:\>conda install -c pyviz holoviz
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
Examining conflict for holoviz setuptools wheel pip python:  27%|███████████████████▍                                                     | 4/15 [00:04<00:10,  1.01it/s]|                                                                                                                                                                         |failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package colorama conflicts for:
pip -> colorama
holoviz -> ipython==7.13.0 -> colorama
python=3.7 -> pip -> colorama

Package sqlite conflicts for:
wincertstore -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.1,<4.0a0']
holoviz -> python[version='>=3.6'] -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.1,<4.0a0']
certifi -> python[version='>=3.9,<3.10.0a0'] -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.35.1,<4.0a0']
setuptools -> python[version='>=3.7,<3.8.0a0'] -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0|>=3.32.3,<4.0a0|>=3.30.0,<4.0a0|>=3.35.1,<4.0a0']
python=3.7 -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.33.0,<4.0a0']
wheel -> python -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.0,<4.0a0|>=3.30.1,<4.0a0|>=3.31.1,<4.0a0|>=3.32.3,<4.0a0|>=3.33.0,<4.0a0|>=3.35.1,<4.0a0']
sqlite

Package wheel conflicts for:
holoviz -> pyct -> wheel
wheel
python=3.7 -> pip -> wheel

Package wincertstore conflicts for:
wheel -> setuptools -> wincertstore[version='>=0.2']
setuptools -> wincertstore[version='>=0.2']
wincertstore

Package tzdata conflicts for:
holoviz -> python[version='>=3.6'] -> tzdata
pip -> python[version='>=3.9,<3.10.0a0'] -> tzdata
wheel -> python -> tzdata
setuptools -> python[version='>=3.9,<3.10.0a0'] -> tzdata
certifi -> python[version='>=3.9,<3.10.0a0'] -> tzdata
wincertstore -> python[version='>=3.9,<3.10.0a0'] -> tzdata

Package vs2008_runtime conflicts for:
pip -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime
holoviz -> python -> vs2008_runtime
wincertstore -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime
setuptools -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime
certifi -> python -> vs2008_runtime
sqlite -> vc=9 -> vs2008_runtime[version='>=9.0.30729.1,<10.0a0']
vc -> vs2008_runtime[version='>=9.0.30729.1,<10.0a0']
openssl -> vc=9 -> vs2008_runtime[version='>=9.0.30729.1,<10.0a0']
wheel -> python -> vs2008_runtime

Package ca-certificates conflicts for:
wincertstore -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates
openssl -> ca-certificates
wheel -> python -> ca-certificates
certifi -> python -> ca-certificates
holoviz -> python -> ca-certificates
python=3.7 -> openssl[version='>=1.1.1j,<1.1.2a'] -> ca-certificates
ca-certificates
setuptools -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates

Package certifi conflicts for:
setuptools -> certifi[version='>=2016.09|>=2016.9.26']
wheel -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
certifi

Package openssl conflicts for:
python=3.7 -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a']
certifi -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']
holoviz -> python[version='>=3.6'] -> openssl[version='!=1.1.1e|>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']
wincertstore -> python[version='>=3.9,<3.10.0a0'] -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']
setuptools -> python[version='>=3.7,<3.8.0a0'] -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1j,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1h,<1.1.2a']
openssl
wheel -> python -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a|>=1.1.1e,<1.1.2a|>=1.1.1f,<1.1.2a|>=1.1.1g,<1.1.2a|>=1.1.1h,<1.1.2a|>=1.1.1i,<1.1.2a|>=1.1.1j,<1.1.2a']

Package vc conflicts for:
sqlite -> vc[version='14.*|9.*|>=14.1,<15.0a0']
openssl -> vc[version='14.*|9.*|>=14.1,<15.0a0']
wincertstore -> vc[version='>=14.1,<15.0a0']
holoviz -> fastparquet[version='>=0.2.1'] -> vc[version='14.*|9.*|>=14.1,<15.0a0|>=14,<15.0a0']
setuptools -> python[version='>=3.7,<3.8.0a0'] -> vc[version='14.*|>=14.1,<15.0a0|9.*']
wheel -> python -> vc[version='14.*|>=14.1,<15.0a0|9.*']
certifi -> python[version='>=3.9,<3.10.0a0'] -> vc[version='14.*|>=14.1,<15.0a0|9.*']
python=3.7 -> openssl[version='>=1.1.1e,<1.1.2a'] -> vc=9
wincertstore -> python[version='>=3.7,<3.8.0a0'] -> vc[version='14.*|9.*']
vc
python=3.7 -> vc[version='14.*|>=14.1,<15.0a0']

Package pip conflicts for:
certifi -> python[version='>=3.9,<3.10.0a0'] -> pip
wincertstore -> python[version='>=3.9,<3.10.0a0'] -> pip
holoviz -> pyct -> pip
python=3.7 -> pip
setuptools -> python[version='>=3.7,<3.8.0a0'] -> pip
wheel -> python -> pip

Package vs2015_runtime conflicts for:
openssl -> vc[version='>=14.1,<15.0a0'] -> vs2015_runtime[version='>=14.0.25123,<15.0a0|>=14.0.25420|>=14.15.26706|>=14.27.29016|>=14.16.27012']
openssl -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
python=3.7 -> vc[version='>=14.1,<15.0a0'] -> vs2015_runtime[version='>=14.0.25123,<15.0a0|>=14.0.25420|>=14.15.26706|>=14.27.29016|>=14.16.27012']
python=3.7 -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
vc -> vs2015_runtime[version='>=14.0.25123,<15.0a0|>=14.0.25420|>=14.15.26706|>=14.27.29016|>=14.16.27012']
wincertstore -> vc[version='>=14.1,<15.0a0'] -> vs2015_runtime[version='>=14.15.26706|>=14.27.29016|>=14.16.27012']
sqlite -> vc[version='>=14.1,<15.0a0'] -> vs2015_runtime[version='>=14.0.25123,<15.0a0|>=14.0.25420|>=14.15.26706|>=14.27.29016|>=14.16.27012']
vs2015_runtime
setuptools -> python[version='>=3.7,<3.8.0a0'] -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
wincertstore -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
holoviz -> fastparquet[version='>=0.2.1'] -> vs2015_runtime[version='>=14.16.27012|>=14.16.27012,<15.0a0']
sqlite -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
certifi -> python[version='>=3.9,<3.10.0a0'] -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
wheel -> python -> vs2015_runtime[version='>=14.16.27012,<15.0a0']

Package zlib conflicts for:
holoviz -> matplotlib==3.0.3 -> zlib[version='>=1.2.11,<1.3.0a0']
python=3.7 -> sqlite[version='>=3.33.0,<4.0a0'] -> zlib[version='>=1.2.11,<1.3.0a0']
sqlite -> zlib[version='>=1.2.11,<1.3.0a0']

Package six conflicts for:
holoviz -> fastparquet[version='>=0.2.1'] -> six[version='>=1.5.2|>=1.7.3']
pip -> html5lib -> six[version='>=1.9']

Package setuptools conflicts for:
python=3.7 -> pip -> setuptools
setuptools
holoviz -> netcdf4 -> setuptools[version='>=18.5']
wheel -> setuptools

Package progress conflicts for:
python=3.7 -> pip -> progress
pip -> progress
Note that strict channel priority may have removed packages required for satisfiability.


(holoviz-tutorial) D:\>

The draft tools listing at https://pyviz.org/tools is already very useful, providing lots of information about each project that helps users make sense of them:

What else can/should it show?

• Institutional sponsor? (See #4). Seems useful for understanding how projects relate to each other, seeing which ones have financial support for multiple developers, which ones are focusing on specific agendas, etc.
• Year of first release? Seems useful for understanding maturity levels and technologies
• Date of latest release? Would need to be updated automatically to be useful
• Underlying library (for high-level libraries)
• Domain (for domain-specific libraries)
• Technology? (Native GUI, JS, JSON, WebGL, OpenGL, SVG, PNG, D3) Would be very helpful, but hard to pin down objectively. Plus many libraries support many of the technologies, which could be hard to track. Maybe would need to make a draft listing and see if it's something everyone would agree on? Would take a bit of work.
• Data size limits? Seems a bit slippery; depends on how much time people think is reasonable to wait. Some libraries have explicit limits, others vary depending on browser and compute capabilities. Hard to make this objective, even though it's measurable in principle.

My personal vote is to remove coverage to make room, then include sponsor, underlying library, and year info, and punt on the rest but consider adding them someday.

• It would also be nice to be able to sort by each column (category, name, stars, contributors, year released, downloads, license), with the first view being categories as shown above, but the rest just being a table (e.g. sorted by year of first release or whatever the user selects).

The VTK conda badge:

https://pyviz-dev.github.io/website/_static/cache/VTK_conda_downloads_badge.svg

is currently listing 0/month. The badge here is working:

https://github.com/conda-forge/vtk-feedstock

@jsignell any ideas?

not able to get pyviz through conda install command on windows. I was wondering it it's because of the red build you have with travis CI?

Since Travis CI service is discontinued.

I am trying to install the package on a Python 3.8.10
I get the following error:

Using version ^0.10.3 for pyviz

Updating dependencies
Resolving dependencies... (0.0s)

  SolverProblemError

  Because no versions of pyviz match >0.10.3,<0.11.0
   and pyviz (0.10.3) depends on matplotlib (3.0.3), pyviz (>=0.10.3,<0.11.0) requires matplotlib (3.0.3).
  So, because switch-power-optimization depends on both matplotlib (^3.5.3) and pyviz (^0.10.3), version solving failed.

  at /usr/local/lib/python3.8/dist-packages/poetry/puzzle/solver.py:241 in _solve
      237│             packages = result.packages
      238│         except OverrideNeeded as e:
      239│             return self.solve_in_compatibility_mode(e.overrides, use_latest=use_latest)
      240│         except SolveFailure as e:
    → 241│             raise SolverProblemError(e)
      242│ 
      243│         results = dict(
      244│             depth_first_search(
      245│                 PackageNode(self._package, packages), aggregate_package_nodes
(.venv) root@hanan-cpu-only-0:/home/jovyan/switch-power-optimization/data/msft_phx80_6_28# ```

with pip I get

pip install pyviz
Collecting pyviz
Using cached pyviz-0.10.3-py2.py3-none-any.whl (16.4 MB)
Collecting rise
Using cached rise-5.7.1-py2.py3-none-any.whl (4.3 MB)
Collecting netcdf4
Using cached netCDF4-1.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB)
Collecting hvplot>=0.4.0
Using cached hvplot-0.8.1-py2.py3-none-any.whl (3.2 MB)
Requirement already satisfied: notebook>=5.5 in /home/jovyan/switch-power-optimization/.venv/lib/python3.8/site-packages (from pyviz) (6.4.12)
Collecting fastparquet>=0.2.1
Using cached fastparquet-0.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)
Collecting ipython<=7.1.1,>=5.4.0
Using cached ipython-7.1.1-py3-none-any.whl (764 kB)
Collecting panel>=0.6.0
Using cached panel-0.13.1-py2.py3-none-any.whl (15.7 MB)
Collecting bokeh>=1.2.0
Using cached bokeh-2.4.3-py3-none-any.whl (18.5 MB)
Collecting xarray<0.12,>=0.11.0
Using cached xarray-0.11.3-py2.py3-none-any.whl (504 kB)
Requirement already satisfied: numpy>=1.16.4 in /home/jovyan/switch-power-optimization/.venv/lib/python3.8/site-packages (from pyviz) (1.23.2)
Collecting selenium
Using cached selenium-4.4.3-py3-none-any.whl (985 kB)
Collecting holoviews>=1.12.3
Using cached holoviews-1.15.0-py2.py3-none-any.whl (4.3 MB)
Collecting streamz
Using cached streamz-0.6.4-py2.py3-none-any.whl (76 kB)
Requirement already satisfied: ipywidgets in /home/jovyan/switch-power-optimization/.venv/lib/python3.8/site-packages (from pyviz) (8.0.1)
Requirement already satisfied: dask[complete]>=0.18.2 in /home/jovyan/switch-power-optimization/.venv/lib/python3.8/site-packages (from pyviz) (2022.8.1)
Collecting pandas<0.25.0,>=0.23.4
Using cached pandas-0.24.2.tar.gz (11.8 MB)
Preparing metadata (setup.py) ... done
Collecting pyct[cmd]>=0.4.6
Using cached pyct-0.4.8-py2.py3-none-any.whl (15 kB)
Collecting matplotlib==3.0.3
Using cached matplotlib-3.0.3.tar.gz (36.6 MB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [49 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-go5lss7q/matplotlib_1a199b31dccd43148bdafcc7f122c4bb/setup.py", line 225, in
msg = pkg.install_help_msg()
File "/tmp/pip-install-go5lss7q/matplotlib_1a199b31dccd43148bdafcc7f122c4bb/setupext.py", line 650, in install_help_msg
release = platform.linux_distribution()[0].lower()
AttributeError: module 'platform' has no attribute 'linux_distribution'
============================================================================
Edit setup.cfg to change the build options

  BUILDING MATPLOTLIB
              matplotlib: yes [3.0.3]
                  python: yes [3.8.10 (default, Jun 22 2022, 20:18:18)  [GCC
                          9.4.0]]
                platform: yes [linux]
  
  REQUIRED DEPENDENCIES AND EXTENSIONS
                   numpy: yes [version 1.23.2]
        install_requires: yes [handled by setuptools]
                  libagg: yes [pkg-config information for 'libagg' could not
                          be found. Using local copy.]
                freetype: no  [The C/C++ header for freetype2 (ft2build.h)
                          could not be found.  You may need to install the
                          development package.]
                     png: no  [pkg-config information for 'libpng' could not
                          be found.]
                   qhull: yes [pkg-config information for 'libqhull' could not
                          be found. Using local copy.]
  
  OPTIONAL SUBPACKAGES
             sample_data: yes [installing]
                toolkits: yes [installing]
                   tests: no  [skipping due to configuration]
          toolkits_tests: no  [skipping due to configuration]
  
  OPTIONAL BACKEND EXTENSIONS
                     agg: yes [installing]
                   tkagg: yes [installing; run-time loading from Python Tcl /
                          Tk]
                  macosx: no  [Mac OS-X only]
               windowing: no  [Microsoft Windows only]
  
  OPTIONAL PACKAGE DATA
                    dlls: no  [skipping due to configuration]
  
  ============================================================================
                          * The following required packages can not be built:
                          * freetype, png
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
(.venv) root@hanan-cpu-only-0:/home/jovyan/switch-power-optimization/data/msft_phx80_6_28# pip install pyviz > error.log
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [49 lines of output]
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-6zcq2qve/matplotlib_3648b71da76048c58960c4b61bb772d0/setup.py", line 225, in
msg = pkg.install_help_msg()
File "/tmp/pip-install-6zcq2qve/matplotlib_3648b71da76048c58960c4b61bb772d0/setupext.py", line 650, in install_help_msg
release = platform.linux_distribution()[0].lower()
AttributeError: module 'platform' has no attribute 'linux_distribution'
============================================================================
Edit setup.cfg to change the build options

  BUILDING MATPLOTLIB
              matplotlib: yes [3.0.3]
                  python: yes [3.8.10 (default, Jun 22 2022, 20:18:18)  [GCC
                          9.4.0]]
                platform: yes [linux]
  
  REQUIRED DEPENDENCIES AND EXTENSIONS
                   numpy: yes [version 1.23.2]
        install_requires: yes [handled by setuptools]
                  libagg: yes [pkg-config information for 'libagg' could not
                          be found. Using local copy.]
                freetype: no  [The C/C++ header for freetype2 (ft2build.h)
                          could not be found.  You may need to install the
                          development package.]
                     png: no  [pkg-config information for 'libpng' could not
                          be found.]
                   qhull: yes [pkg-config information for 'libqhull' could not
                          be found. Using local copy.]
  
  OPTIONAL SUBPACKAGES
             sample_data: yes [installing]
                toolkits: yes [installing]
                   tests: no  [skipping due to configuration]
          toolkits_tests: no  [skipping due to configuration]
  
  OPTIONAL BACKEND EXTENSIONS
                     agg: yes [installing]
                   tkagg: yes [installing; run-time loading from Python Tcl /
                          Tk]
                  macosx: no  [Mac OS-X only]
               windowing: no  [Microsoft Windows only]
  
  OPTIONAL PACKAGE DATA
                    dlls: no  [skipping due to configuration]
  
  ============================================================================
                          * The following required packages can not be built:
                          * freetype, png
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

https://twitter.com/andfanilo/status/1471750918525919237?s=20

It would be great if you could add lets-plot from Jetbrains to thr plotting ecosystem.
https://lets-plot.org/

https://pypi.org/project/pyviz/ contains the text:

Installation

See pyviz.org (or doc/installation.rst for a github clone).

Which links to http://pyviz.org/installation.html and mentions doc/installation.rst - however both of these do not exist.

Suggest replacing the above with:
Installation

You can see all of the samples, etc. online at pyviz.org. If, however, you need a local copy simply clone or download from the github and follow the instructions in the README.md to run a local server.

Note that I would have submitted a PR but it seems that the above is not in the repository maybe one of the @pyviz-developers just needs to do a PyPi update to get the page re-generated.

https://pyviz.org/tools.html

The numbers below are +6month old

Now that condastats has been published, it would be great to change the badge creation mechanism to use that library directly (should be quicker as well, since the data download is much smaller).

There was discussion at SciPy sprints about having a shared API for accessing objects from various plotting libraries. We think there could be a spec for common actions such as save, show, html_repr. This issue is to start that discussion. @munkm @tacaswell @jonmmease

Hello. Not sure if this is the right place for this, but all the Panel gallery examples are currently broken. The interactive example at the center of the webpage only displays a "sad notebook" graphic, and trying the MyBinder ("Live app URL") link gives a "starting notebook" message, without seeming to make progress.

Here's an example URL: https://panel.pyviz.org/gallery/demos/gapminder.html#gallery-gapminder

(Installing some monitoring to learn about these problems not from GitHub issues might also be a good idea...)

The mpl-scatter-density is a lightweight package that makes it possible to show large (up to ~10^9 points) datasets with Matplotlib. It might be worth mentioning it in the 'Large-data rendering' section but the issue is that that section specifically mentions 'server-side' rendering. Can we relax this wording to allow tools like mpl-scatter-density to be mentioned?

It would be nice to have some images on the Dashboarding, SciVis and Quick tools pages.

not able to create drill down table by panel or hierarchy table which has parent child recursive table.
i used pn.widgets,DataFrame(df, hierarchical==True) but it only giving me one level go down not in tree form.

I very much like the comprehensive list of visualization tools that you are providing. One specific category that is really missing is animations and/or animation capabilities of the listed tools. I'd make a difference between "interactive" animations (like GUIs or dashboards that can refresh every couple of milliseconds) and videos specifically. I am more interested in the latter.

I have been building an animation framework and - as a part of it - tried to document similar-ish and related Python packages. I'd be interested in adding this information to your list.

Some packages have multiple recipes. For example, matplotlib has at least three popular conda recipes:

• defaults/matplotlib with ~490k downloads
• conda-forge/matplotlib with ~5.8M downloads
• conda-forge/matplotlib-base with ~3.0M downloads
• and more

Those should be taken into account for the download statistics.

Hi folks,

On and off for the past few years, I've been working on a slightly different, more up to date, more structured, diagram to the one that's currently at https://pyviz.org/overviews/index.html ... I had a chance to present my work-in-progress at a meetup this week. It's not really quite ready for prime-time, mostly because I need to figure out a reasonable default view and interaction style, but I wanted to solicit some feedback before putting a lot more work into it :)

The repo for the diagram itself is at https://github.com/nicolaskruchten/pyviz_diagram and the diagram is at https://nicolas.kruchten.com/pyviz_diagram/ (note: the default view shows all links, which is clearly not the intention! the idea is to make it less overwhelming than this!)

I'd really love some feedback on this structure, so please comment here or add issues in the repo :)

I just noticed that the dev site (that can currently be built pushing a commit message containing website_dev) is still hosted on the holoviz-dev organization at https://github.com/holoviz-dev/website. It should be moved to this organization and the code adapted in this repository.

EDIT:

https://github.com/pyviz-developers is a service account that was used by this repository and other HoloViz repositories for pushing commits to the repo (in this case to the cache branch) from the CI. Now the CI is based on Github Actions, this account is no longer required for this, setting workflow permissions is enough and this change has already been implemented.

However, I recently discovered that GitHub service accounts can have another usage: allowing to deploy a dev site on another repository. This is a pattern that most HoloViz projects rely on, they have an associated repository (e.g. https://github.com/holoviz-dev/panel for https://github.com/holoviz/panel) whose purpose it simply to host the dev build of their documentation. The GitHub action that deploys the dev site to the other repo needs a personal access token with repo rights, generated for an account that has write access to the associated repo.

In practice, it turns out the pyviz-developers account isn't used for that purpose, it's Philipp's account+token :)

I think having to maintain a service account (pyviz-developers) and its personal access token is too much overhead for the PyViz project. The dev site isn't even linked properly on the README (that's the right link https://holoviz-dev.github.io/website/) so I think contributors aren't aware of its existence.

My suggestions:

• Delete the Github pyviz-developers account
• Delete the repository https://github.com/holoviz-dev/website and adapt the docs.yml workflow to no longer publish the doc to this repo
• Remove Philipp's token

@jbednar if you agree with these suggestions, I won't be able to address the last one as I don't have enough rights to remove the token. I don't know if it is set at the repo or org level? So either someone with sufficient permission does it, or someone adds me/edits my role so I can do it (I'm happy to contribute to PyViz in general!).

In the future, it may be possible to re-add a dev site (in fact, a temporary dev site per PR):

• Maybe this official Github action https://github.com/actions/deploy-pages will enable its preview feature to the public
• ReadTheDocs offers an option to build the site for each PR, see https://docs.readthedocs.io/en/stable/pull-requests.html

https://pyviz.org/tools.html e.g. create an anchor for Geospatial to make it easier to share

The glue package has a repo named glue but the conda package is named glueviz. In the current code I'm not sure if there is a way to point the badge to the correct conda package, but I guess we need one.

The map at

https://pyviz.org/overviews/index.html

has a few issues:

• The link from Vaex to Bokeh has never been correct IMO
• Bokeh could also be linked to Pandas-Bokeh and Chartify

Also mpld3 has been defunct now for more than half a decade.

cc @jbednar

Streamlit now has a conda package https://anaconda.org/conda-forge/streamlit

https://shiny.rstudio.com/py/

Shinylive looks pretty interesting also:

Shiny for Python has an experimental mode called Shinylive: this is where applications can run entirely in a web browser, without the need for a separate server running Python.

In a lot of places the pypi numbers are "invalid".

https://pyviz.org/tools.html

Hi there! I recently wrote a short article about no-code tools for python/pandas visualization and I realized pyviz.org doesn't have a section about no-code approaches. There's another article here

Would you be open to a PR or is that our of scope for pyviz? Thanks!

To get it started, the PyViz website is being set up by the viz team at Anaconda, Inc., using Anaconda-provided resources and development time. The initial content includes the material that we think is most useful to our users and customers, and reflects our own perspective. But the PyViz name and PyViz.org website are owned by the independent NumFocus charity, and the intent is for PyViz to be open to anyone working to improve open-source data visualization capabilities, documentation, and examples in Python. Simply put, this is your site, and the future of it depends on you!

In particular, in the short term it would be great to have as much community involvement as possible, and we welcome:

• PRs to fix typos, broken links, missing items in a list, etc. -- we should be able to merge these quickly and without much trouble.
• PRs to make descriptions more fair, balanced, and nuanced -- please! We are only human, and may not see your favorite project in the same way you do, or know about newly added features, and so on. Please correct any issues that you see like that!
• Additional examples, tutorials, overviews, etc. -- just submit a PR linking to these or capturing them, as long as they clearly show how to reproduce them and explain how to interpret them. E.g. it would be great to get contributions from experts in 3D/SciVis approaches, native-GUI toolkits, and other areas not very well represented so far. But note that only open-source tools will be included in PyViz.org; proprietary tools will have to rely on their own marketing with no help from us!

If there is enough community involvement that we end up having disagreements about focus, content, or intent, Anaconda is very happy to hand control over to an independent board or committee approved by NumFocus. In the meantime, we'll do our best to be as fair as we can, and please contribute!

In https://pyviz.org/, the footer contains Page source this is URL is broken, redirected to Page not found error.

chartify has an Apache license: https://github.com/spotify/chartify/blob/master/ but it's not showing up on the tools.html page

Happy to make a pr with a little guidance.

when setting up using these instructions on the holoviz tutorial webpage there is a missing step required to get the first cell running. Conda stopped automatically setting environments up as jupyter kernels. So after activating the env, you need to manually add the kernel, using something like: python -m ipykernel install --user --name holoviz-tutorial --display-name "Python3 (holoviz-tutorial)". Then after running Jupyter you can select the right kernel. Otherwise Jupiter will not show that kernel and you will get import errors for already installed packages. I tried this on Mac and Jupyter lab.

Can we list a tool whose git repository isn't hosted on github? I'd like to add graph-tool, which repository is at https://git.skewed.de/count0/graph-tool.

https://pyviz.org/tools.html

When learning a new framework it's very useful to have multiple implementations of the same problem in serveral frameworks. This is the motivation behind things like 7Guis and todoMVC. While these projects are great, they are not representative of Python data applications. I created an example repository where people can propose common data application scenarios and provide solutions in the various frameworks, and @jbednar thought it would be a good fit for pyviz. The repository is here:

https://github.com/pyviz/data-app-comparison

If you have any thoughts about the best way for this project to succeed I'd love to hear them.