With With Firefox + Jupyter Lab the computer crashes

[akitxu]

Dear All
My operating system is LinuxMint20.2 and I have installed all the Firefox updates proposed by the application manager. I also have Jupyter Lab 3.0.16 installed.
Normally, when I turn on the computer, I enter a virtual environment and load Jupyter Lab; I open three or four notebooks of sizes: 14.5MB, 9.1MB, 5.1MB and 19MB. and at the same time one or two web pages.
For a few months I have been observing that initially everything seems to work normally. After a while, the page turn or notebok begins to slow down. Also, the mouse begins to not be able to move freely across the screen, recovering again. I also observe some times, an unjustified operation of the hard disk, because of what I am requesting. Finally, sometimes, the computer crashes with this Firefox screen open and does not recover, having to activate the Alt + Print Screen + B option to reset the computer.
I have tried with the Chrome browser and as of now this has not happened to me.
I would appreciate your help to determine for sure where the problem may be.
Kind regards

[krassowski]

Could you please fill in all the details requested in the bug report template to help us help you to determine what might be causing this issue? This includes: running jupyter troubleshoot, logs from jupyter lab --debug, any relevant console errors and details on browser version.

[akitxu]

I have checked the consumption of RAM memory with three open noteboosks, first only open, then, executing their scripts and the result has been the following

enri@enri-260-p100ns:$ conda activate python37
(python37) enri@enri-260-p100ns:$ free -h
total usado libre compartido búfer/caché disponible
Memoria: 3,7Gi 1,6Gi 383Mi 392Mi 1,8Gi 1,5Gi
Swap: 2,0Gi 1,2Gi 767Mi
(python37) enri@enri-260-p100ns:$ free -m
total usado libre compartido búfer/caché disponible
Memoria: 3793 1608 364 395 1821 1550
Swap: 2047 1280 767
(python37) enri@enri-260-p100ns:$ free -h
total usado libre compartido búfer/caché disponible
Memoria: 3,7Gi 2,1Gi 172Mi 617Mi 1,4Gi 771Mi
Swap: 2,0Gi 1,3Gi 747Mi
(python37) enri@enri-260-p100ns:~$

Since my computer only has 4G of RAM, I think this may be the problem.
I will have to think about dividing my notebooks and learning to import what I need in each notebook, from the others. I don't know if this will be possible in any way.
At this time, I am not contemplating the option of changing computers.. I will also consult if there is any possibility of memory expansion in this computer (it is 6 years old) and DDR4-2133 memory)
Thanks. Best regards

`

[krassowski]

Yes, it is likely a memory issue, and yes 4GB may be too little depending on what data you are processing. I asked for the details to check if there is a candidate to blame for a memory leak in one of the extensions, but I cannot do that without seeing the requested outputs.

[akitxu]

enri@enri-260-p100ns:$ conda activate python37
(python37) enri@enri-260-p100ns:$ jupyter troubleshoot
$PATH:
/home/enri/anaconda3/envs/python37/bin
/home/enri/.nvm/versions/node/v14.16.1/bin
/home/enri/anaconda3/condabin
/usr/local/sbin
/usr/local/bin
/usr/sbin
/usr/bin
/sbin
/bin
/usr/games
/usr/local/games
/snap/bin
/opt/wine-stable/bin

sys.path:
/home/enri/anaconda3/envs/python37/bin
/home/enri/anaconda3/envs/python37/lib/python37.zip
/home/enri/anaconda3/envs/python37/lib/python3.7
/home/enri/anaconda3/envs/python37/lib/python3.7/lib-dynload
/home/enri/anaconda3/envs/python37/lib/python3.7/site-packages

sys.executable:
/home/enri/anaconda3/envs/python37/bin/python

sys.version:
3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37)
[GCC 9.3.0]

platform.platform():
Linux-5.4.0-81-generic-x86_64-with-debian-bullseye-sid

which -a jupyter:
/home/enri/anaconda3/envs/python37/bin/jupyter

pip list:
Package Version
----------------------------- -------------------
aiohttp 3.7.4.post0
anyio 3.3.0
argon2-cffi 20.1.0
async-generator 1.10
async-timeout 3.0.1
attrs 21.2.0
Babel 2.9.1
backcall 0.2.0
backports.functools-lru-cache 1.6.4
bleach 3.3.1
bokeh 2.3.3
Bottleneck 1.3.2
brotlipy 0.7.0
bt 0.2.9
certifi 2021.5.30
cffi 1.14.6
chardet 4.0.0
charset-normalizer 2.0.0
chart-studio 1.1.0
click 7.1.2
cloudpickle 1.6.0
colorama 0.4.4
cryptography 3.4.7
cycler 0.10.0
cytoolz 0.11.0
dask 2.30.0
dataprep 0.2.15
decorator 5.0.9
defusedxml 0.7.1
distributed 2.30.1
entrypoints 0.3
et-xmlfile 1.0.1
ffn 0.3.6
fsspec 2021.7.0
future 0.18.2
HeapDict 1.0.1
idna 3.1
importlib-metadata 4.6.1
inflection 0.5.1
ipykernel 5.5.5
ipynb-py-convert 0.4.6
ipython 7.25.0
ipython-genutils 0.2.0
ipywidgets 7.6.3
jdcal 1.4.1
jedi 0.18.0
Jinja2 2.11.3
joblib 1.0.1
json5 0.9.5
jsonpath-ng 1.5.3
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.12
jupyter-console 6.4.0
jupyter-core 4.7.1
jupyter-server 1.10.1
jupyterlab 3.0.16
jupyterlab-pygments 0.1.2
jupyterlab-server 2.6.1
jupyterlab-widgets 1.0.0
kiwisolver 1.3.1
locket 0.2.0
lxml 4.6.3
MarkupSafe 2.0.1
matplotlib 3.3.4
matplotlib-inline 0.1.2
mistune 0.8.4
mkl-fft 1.3.0
mkl-random 1.2.2
mkl-service 2.4.0
more-itertools 8.8.0
msgpack 1.0.2
multidict 5.1.0
nbclassic 0.3.1
nbclient 0.5.3
nbconvert 6.1.0
nbformat 5.1.3
nest-asyncio 1.5.1
nltk 3.6.2
notebook 6.4.0
numexpr 2.7.3
numpy 1.20.3
olefile 0.46
openpyxl 3.0.7
packaging 21.0
pandas 1.3.0
pandas-bokeh 0.5
pandas-datareader 0.10.0
pandocfilters 1.4.2
parso 0.8.2
partd 1.2.0
patsy 0.5.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.3.1
pip 21.2.1
plotly 5.1.0
plotly-express 0.4.1
ply 3.11
prometheus-client 0.11.0
prompt-toolkit 3.0.17
psutil 5.8.0
ptyprocess 0.7.0
pycparser 2.20
pydantic 1.8.2
Pygments 2.9.0
pyOpenSSL 20.0.1
pyparsing 2.4.7
PyPrind 2.11.2
pyrsistent 0.17.3
PySocks 1.7.1
python-dateutil 2.8.2
python-docx 0.8.11
pytz 2021.1
PyYAML 5.4.1
pyzmq 22.1.0
qtconsole 5.1.0
QtPy 1.9.0
Quandl 3.4.6
regex 2020.11.13
requests 2.26.0
requests-unixsocket 0.2.0
retrying 1.3.3
scikit-learn 0.24.2
scipy 1.6.2
seaborn 0.11.1
Send2Trash 1.7.1
setuptools 49.6.0.post20210108
six 1.16.0
sniffio 1.2.0
sortedcontainers 2.4.0
statsmodels 0.12.2
TA-Lib 0.4.19
tabulate 0.8.9
tblib 1.7.0
tenacity 6.3.1
termcolor 1.1.0
terminado 0.10.1
testpath 0.5.0
threadpoolctl 2.2.0
toolz 0.11.1
tornado 6.1
tqdm 4.62.1
traitlets 5.0.5
typing-extensions 3.10.0.0
urllib3 1.26.6
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.57.0
wheel 0.36.2
widgetsnbextension 3.5.1
wordcloud 1.8.1
xlrd 2.0.1
yarl 1.6.3
zict 2.0.0
zipp 3.5.0

conda list:
# packages in environment at /home/enri/anaconda3/envs/python37:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
aiohttp 3.7.4.post0 py37h5e8e339_0 conda-forge
anyio 3.3.0 py37h89c1867_0 conda-forge
argon2-cffi 20.1.0 py37h5e8e339_2 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
babel 2.9.1 pyh44b312d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
bleach 3.3.1 pyhd8ed1ab_0 conda-forge
bokeh 2.3.3 py37h89c1867_0 conda-forge
bottleneck 1.3.2 py37heb32a55_1
brotlipy 0.7.0 py37h5e8e339_1001 conda-forge
bt 0.2.9 py37h5e8e339_0 conda-forge
ca-certificates 2021.5.30 ha878542_0 conda-forge
certifi 2021.5.30 py37h89c1867_0 conda-forge
cffi 1.14.6 py37hc58025e_0 conda-forge
chardet 4.0.0 py37h89c1867_1 conda-forge
charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
chart-studio 1.1.0 pyh9f0ad1d_0 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
cloudpickle 1.6.0 py_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cryptography 3.4.7 py37h5d9358c_0 conda-forge
cycler 0.10.0 py37_0
cytoolz 0.11.0 py37h5e8e339_3 conda-forge
dask 2.30.0 py_0 conda-forge
dask-core 2.30.0 py_0 conda-forge
dataprep 0.2.15 pyhd8ed1ab_0 conda-forge
dbus 1.13.18 hb2f20db_0
decorator 5.0.9 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
distributed 2.30.1 py37h89c1867_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
et_xmlfile 1.0.1 py_1001 conda-forge
expat 2.4.1 h2531618_2
ffn 0.3.6 pyhd8ed1ab_0 conda-forge
fontconfig 2.13.1 h6c09931_0
freetype 2.10.4 h5ab3b9f_0
fsspec 2021.7.0 pyhd8ed1ab_0 conda-forge
future 0.18.2 py37h89c1867_3 conda-forge
glib 2.69.0 h5202010_0
gst-plugins-base 1.14.0 h8213a91_2
gstreamer 1.14.0 h28cd5cc_2
heapdict 1.0.1 py_0 conda-forge
icu 58.2 he6710b0_3
idna 3.1 pyhd3deb0d_0 conda-forge
importlib-metadata 4.6.1 py37h89c1867_0 conda-forge
inflection 0.5.1 pyh9f0ad1d_0 conda-forge
intel-openmp 2021.3.0 h06a4308_3350
ipykernel 5.5.5 py37h085eea5_0 conda-forge
ipynb-py-convert 0.4.6 pyh9f0ad1d_0 conda-forge
ipython 7.25.0 py37h085eea5_1 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.6.3 pyhd3deb0d_0 conda-forge
jdcal 1.4.1 py_0 conda-forge
jedi 0.18.0 py37h89c1867_2 conda-forge
jinja2 2.11.3 pyh44b312d_0 conda-forge
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b h024ee3a_2
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonpath-ng 1.5.3 pyhd8ed1ab_0 conda-forge
jsonschema 3.2.0 pyhd8ed1ab_3 conda-forge
jupyter 1.0.0 py37_7
jupyter_client 6.1.12 pyhd8ed1ab_0 conda-forge
jupyter_console 6.4.0 pyhd3eb1b0_0
jupyter_core 4.7.1 py37h89c1867_0 conda-forge
jupyter_server 1.10.1 pyhd8ed1ab_0 conda-forge
jupyterlab 3.0.16 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_server 2.6.1 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
kiwisolver 1.3.1 py37h2531618_0
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.36.1 hea4e1c9_1 conda-forge
libffi 3.3 h58526e2_2 conda-forge
libgcc-ng 11.1.0 hc902ee8_2 conda-forge
libgfortran-ng 7.5.0 ha8ba4b0_17
libgfortran4 7.5.0 ha8ba4b0_17
libgomp 11.1.0 hc902ee8_2 conda-forge
libpng 1.6.37 hbc83047_0
libsodium 1.0.18 h36c2ea0_1 conda-forge
libstdcxx-ng 11.1.0 h56837e0_2 conda-forge
libta-lib 0.4.0 h516909a_0 conda-forge
libtiff 4.2.0 h85742a9_0
libuuid 1.0.3 h1bed415_2
libwebp-base 1.2.0 h27cfd23_0
libxcb 1.14 h7b6447c_0
libxml2 2.9.12 h03d6c58_0
libxslt 1.1.34 hc22bd24_0
locket 0.2.0 py_2 conda-forge
lxml 4.6.3 py37h77fd288_0 conda-forge
lz4-c 1.9.3 h2531618_0
markupsafe 2.0.1 py37h5e8e339_0 conda-forge
matplotlib 3.3.4 py37h06a4308_0
matplotlib-base 3.3.4 py37h62a2d02_0
matplotlib-inline 0.1.2 pyhd8ed1ab_2 conda-forge
mistune 0.8.4 py37h5e8e339_1004 conda-forge
mkl 2021.3.0 h06a4308_520
mkl-service 2.4.0 py37h7f8727e_0
mkl_fft 1.3.0 py37h42c9631_2
mkl_random 1.2.2 py37h51133e4_0
more-itertools 8.8.0 pyhd8ed1ab_0 conda-forge
msgpack-python 1.0.2 py37h2527ec5_1 conda-forge
multidict 5.1.0 py37h5e8e339_1 conda-forge
nbclassic 0.3.1 pyhd8ed1ab_1 conda-forge
nbclient 0.5.3 pyhd8ed1ab_0 conda-forge
nbconvert 6.1.0 py37h89c1867_0 conda-forge
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
ncurses 6.2 h58526e2_4 conda-forge
nest-asyncio 1.5.1 pyhd8ed1ab_0 conda-forge
nltk 3.6.2 pyhd8ed1ab_0 conda-forge
notebook 6.4.0 py37h06a4308_0
numexpr 2.7.3 py37h22e1b3c_1
numpy 1.20.3 py37hf144106_0
numpy-base 1.20.3 py37h74d4b33_0
olefile 0.46 py37_0
openjpeg 2.3.0 h05c96fa_1
openpyxl 3.0.7 pyhd8ed1ab_0 conda-forge
openssl 1.1.1k h7f98852_1 conda-forge
packaging 21.0 pyhd8ed1ab_0 conda-forge
pandas 1.3.0 py37h295c915_0
pandas-bokeh 0.5 py37_0 patrikhlobil
pandas-datareader 0.10.0 pyh6c4a22f_0 conda-forge
pandoc 2.14.1 h7f98852_0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.8.2 pyhd8ed1ab_0 conda-forge
partd 1.2.0 pyhd8ed1ab_0 conda-forge
patsy 0.5.1 py37_0
pcre 8.45 h295c915_0
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 8.3.1 py37h2c7a002_0
pip 21.2.1 pyhd8ed1ab_0 conda-forge
plotly 5.1.0 py_0 plotly
plotly_express 0.4.1 py_0 plotly
ply 3.11 py_1 conda-forge
prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.17 pyh06a4308_0
prompt_toolkit 3.0.17 hd3eb1b0_0
psutil 5.8.0 py37h5e8e339_1 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pydantic 1.8.2 py37h5e8e339_0 conda-forge
pygments 2.9.0 pyhd8ed1ab_0 conda-forge
pyopenssl 20.0.1 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyprind 2.11.2 py37hc8dfbb8_1001 conda-forge
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.17.3 py37h5e8e339_2 conda-forge
pysocks 1.7.1 py37h89c1867_3 conda-forge
python 3.7.10 hffdb5ce_100_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-docx 0.8.11 pyhd8ed1ab_0 conda-forge
python_abi 3.7 2_cp37m conda-forge
pytz 2021.1 pyhd8ed1ab_0 conda-forge
pyyaml 5.4.1 py37h5e8e339_0 conda-forge
pyzmq 22.1.0 py37h336d617_0 conda-forge
qt 5.9.7 h5867ecd_1
qtconsole 5.1.0 pyhd3eb1b0_0
qtpy 1.9.0 py_0
quandl 3.4.6 py37hc8dfbb8_1 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
regex 2020.11.13 py37h5e8e339_1 conda-forge
requests 2.26.0 pyhd8ed1ab_0 conda-forge
requests-unixsocket 0.2.0 py_0 conda-forge
retrying 1.3.3 py_2 conda-forge
scikit-learn 0.24.2 py37ha9443f7_0
scipy 1.6.2 py37had2a1c9_1
seaborn 0.11.1 hd8ed1ab_1 conda-forge
seaborn-base 0.11.1 pyhd8ed1ab_1 conda-forge
send2trash 1.7.1 pyhd8ed1ab_0 conda-forge
setuptools 49.6.0 py37h89c1867_3 conda-forge
shrimp 2.2.3 1 biobuilds
sip 4.19.8 py37hf484d3e_0
six 1.16.0 pyh6c4a22f_0 conda-forge
sniffio 1.2.0 py37h89c1867_1 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
sqlite 3.36.0 h9cd32fc_0 conda-forge
statsmodels 0.12.2 py37h27cfd23_0
ta-lib 0.4.19 py37ha21ca33_2 conda-forge
tabulate 0.8.9 pyhd8ed1ab_0 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
tenacity 6.3.1 py37h06a4308_0
termcolor 1.1.0 py37_1 anaconda
terminado 0.10.1 py37h89c1867_0 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 2.2.0 pyhb85f177_0
tk 8.6.10 h21135ba_1 conda-forge
toolz 0.11.1 py_0 conda-forge
tornado 6.1 py37h5e8e339_1 conda-forge
tqdm 4.62.1 pyhd8ed1ab_0 conda-forge
traitlets 5.0.5 py_0 conda-forge
typing-extensions 3.10.0.0 hd8ed1ab_0 conda-forge
typing_extensions 3.10.0.0 pyha770c72_0 conda-forge
urllib3 1.26.6 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 0.57.0 py37h89c1867_4 conda-forge
wheel 0.36.2 pyhd3deb0d_0 conda-forge
widgetsnbextension 3.5.1 py37_0
wordcloud 1.8.1 py37h5e8e339_1 conda-forge
xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
yarl 1.6.3 py37h5e8e339_2 conda-forge
zeromq 4.3.4 h9c3ff4c_0 conda-forge
zict 2.0.0 py_0 conda-forge
zipp 3.5.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.4.9 haebb681_0

conda env:
name: python37
channels:
- anaconda
- biobuilds
- plotly
- patrikhlobil
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_gnu
- aiohttp=3.7.4.post0=py37h5e8e339_0
- anyio=3.3.0=py37h89c1867_0
- argon2-cffi=20.1.0=py37h5e8e339_2
- async-timeout=3.0.1=py_1000
- async_generator=1.10=py_0
- attrs=21.2.0=pyhd8ed1ab_0
- babel=2.9.1=pyh44b312d_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- blas=1.0=mkl
- bleach=3.3.1=pyhd8ed1ab_0
- bokeh=2.3.3=py37h89c1867_0
- bottleneck=1.3.2=py37heb32a55_1
- brotlipy=0.7.0=py37h5e8e339_1001
- bt=0.2.9=py37h5e8e339_0
- ca-certificates=2021.5.30=ha878542_0
- certifi=2021.5.30=py37h89c1867_0
- cffi=1.14.6=py37hc58025e_0
- chardet=4.0.0=py37h89c1867_1
- charset-normalizer=2.0.0=pyhd8ed1ab_0
- chart-studio=1.1.0=pyh9f0ad1d_0
- click=7.1.2=pyh9f0ad1d_0
- cloudpickle=1.6.0=py_0
- colorama=0.4.4=pyh9f0ad1d_0
- cryptography=3.4.7=py37h5d9358c_0
- cycler=0.10.0=py37_0
- cytoolz=0.11.0=py37h5e8e339_3
- dask=2.30.0=py_0
- dask-core=2.30.0=py_0
- dataprep=0.2.15=pyhd8ed1ab_0
- dbus=1.13.18=hb2f20db_0
- decorator=5.0.9=pyhd8ed1ab_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- distributed=2.30.1=py37h89c1867_0
- entrypoints=0.3=pyhd8ed1ab_1003
- et_xmlfile=1.0.1=py_1001
- expat=2.4.1=h2531618_2
- ffn=0.3.6=pyhd8ed1ab_0
- fontconfig=2.13.1=h6c09931_0
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- zstd=1.4.9=haebb681_0
prefix: /home/enri/anaconda3/envs/python37
(python37) enri@enri-260-p100ns:~$