No module named 'jupyter-dash'

I encountered this problem when I was trying to run from jupyter_dash import JupyterDash in both jupyter notebook and jupyter lab.

OS: Windows 10 python version: 3.8.13 Installed packages:

Package      Version

ansi2html       0.0.0 anyio      3.6.1 appnope       0.1.3 argon2-cffi       21.3.0 argon2-cffi-bindings       21.2.0 asttokens      2.0.5 async-generator      1.10 attrs      21.4.0 Babel      2.10.1 backcall       0.2.0 backports.functools-lru-cache       1.6.4 beautifulsoup4        4.11.1 bleach        5.0.0 Bottleneck        1.3.4 Brotli        1.0.9 brotlipy        0.7.0 certifi        2022.5.18.1 cffi        1.15.0 chardet        4.0.0 charset-normalizer        2.0.12 click        8.1.3 colorama        0.4.4 cryptography        37.0.1 dash        2.4.1 dash-bootstrap-components        1.1.0 dash-core-components        2.0.0 dash-html-components        2.0.0 dash-renderer        1.9.1 dash-table        5.0.0 debugpy        1.6.0 decorator        5.1.1 defusedxml        0.7.1 deprecation        2.1.0 entrypoints        0.4 executing        0.8.3 fastjsonschema        2.15.3 Flask        2.1.2 Flask-Compress        0.0.0 flit_core        3.7.1 future        0.18.2 gunicorn        20.1.0 idna        3.3 importlib-metadata        4.11.4 importlib-resources        5.7.1 ipykernel        6.13.1 ipython        8.4.0 ipython-genutils        0.2.0 itsdangerous        2.1.2 jedi        0.18.1 Jinja2        3.1.2 joblib        1.1.0 json5        0.9.6 jsonschema        4.6.0 jupyter-client        7.3.3 jupyter-core        4.10.0 jupyter-dash        0.4.2 jupyter-packaging        0.12.0 jupyter-server        1.17.0 jupyterlab        3.4.2 jupyterlab-pygments        0.2.2 jupyterlab-server        2.14.0 MarkupSafe        2.1.1 matplotlib-inline        0.1.3 mistune        0.8.4 mkl-fft        1.3.1 mkl-random        1.2.2 mkl-service        2.4.0 nbclassic        0.3.7 nbclient        0.6.4 nbconvert        6.5.0 nbformat        5.4.0 nest-asyncio        1.5.5 notebook        6.4.11 notebook-shim        0.1.0 numexpr        2.8.1 numpy        1.22.3 packaging        21.3 pandas        1.4.2 pandocfilters        1.5.0 parso        0.8.3 pexpect        4.8.0 pickleshare        0.7.5 pip        21.2.2 plotly        5.8.0 prometheus-client        0.14.1 prompt-toolkit        3.0.29 psutil        5.9.1 ptyprocess        0.7.0 pure-eval        0.2.2 pycparser        2.21 Pygments        2.12.0 pyOpenSSL        22.0.0 pyparsing        3.0.9 pyrsistent        0.18.1 PySocks        1.7.1 python-dateutil        2.8.2 pytz        2022.1 pywin32        303 pywinpty        2.0.2 pyzmq        23.1.0 requests        2.27.1 retrying        1.3.3 scikit-learn        1.0.2 scipy        1.7.3 Send2Trash        1.8.0 setuptools        61.2.0 six        1.16.0 sniffio        1.2.0 soupsieve        2.3.1 stack-data        0.2.0 tenacity        8.0.1 terminado        0.15.0 testpath        0.6.0 threadpoolctl        2.2.0 tinycss2        1.1.1 tomlkit        0.11.0 tornado        6.1 traitlets        5.2.2.post1 urllib3        1.26.9 wcwidth        0.2.5 webencodings        0.5.1 websocket-client        1.3.2 Werkzeug        2.1.2 wheel        0.37.1 win-inet-pton        1.1.0 wincertstore        0.2 zipp        3.8.0

[Dwingkak]

Hmph well now I can’t replicate the module not found I saw once yesterday. Seems to me either it really is not found, or it’s generating an error only in Jupyter.

To see if it’s the former, you could import another pip-installed package both inside and outside jupyter and see if the package’s __file__ is the same in both cases.

To see if it’s the latter, maybe wrap the import in a try/except?

try:
    from jupyter_dash import JupyterDash
except Exception:
    import traceback
    print(traceback.format_exc())

I used the first method and found that my jupyter was running with the kernel of other env. I have solved the problem. Thank you for help me to troubleshoot the problem.

[alexcjohnson]

Hmph well now I can’t replicate the module not found I saw once yesterday. Seems to me either it really is not found, or it’s generating an error only in Jupyter.

To see if it’s the former, you could import another pip-installed package both inside and outside jupyter and see if the package’s __file__ is the same in both cases.

To see if it’s the latter, maybe wrap the import in a try/except?

try:
    from jupyter_dash import JupyterDash
except Exception:
    import traceback
    print(traceback.format_exc())