Summary
Installing any new packages in my conda environnement will downgrade streamlit to 0.9.0
Steps to reproduce
I used to have Streamlit 0.19.0 when I encountered this issue and same kept happening after I updated to Streamlit 0.20.0
I installed streamlit 1.20.0 in hopes things are different but not really, there are bunch of packages I tried to install and it’s always streamlit that needs to be downgraded to** 1.9.0** (same was going on with streamlit 1.19.0) as well as downgrading click from 8.1.3 to 8.0.4. These packages are :
- geopandas
- altair_viewer (to latest (0.4.0))
- leafmap
- mamba (to latest (1.3.1), now i’m just stuck using mamba 1.2.0)
- earthengine-api (any)
- python 3.10.9
Current python 3.10.8 needs to update to 3.10.9 when trying to install new packages.
I also tried to install conda-tree to check dependencies and same thing happens, at this point anything i try to install will try to downgrade streamlit to 1.9.0.
Same used to happen when I first created a new conda environnement with streamlit = 1.16.0 and installed Google Earth Engine (earthengine-api) made it downgrade to streamlit = 1.9.0
Expected behavior:
Install new packages without downgrading Streamlit to 0.9.0.
Actual behavior:
Installing or updating any package tries to downgrade streamlit to 0.9.0 and click to
Debug info
- Streamlit version: 1.20.0
- Python version: 3.10.8
- Using: Conda
- OS version: Windows 10 (64bit)
Requirements file
Click to expand requirements.txt file
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
altair=4.2.2=pyhd8ed1ab_0
arrow-cpp=9.0.0=py310h8b1cf1d_2_cpu
asttokens=2.2.1=pyhd8ed1ab_0
attrs=22.2.0=pyh71513ae_0
aws-c-cal=0.5.11=he19cf47_0
aws-c-common=0.6.2=h8ffe710_0
aws-c-event-stream=0.2.7=h70e1b0c_13
aws-c-io=0.10.5=h2fe331c_0
aws-checksums=0.1.11=h1e232aa_7
aws-sdk-cpp=1.8.186=h93d3aa3_4
backcall=0.2.0=pyh9f0ad1d_0
backports=1.0=pyhd8ed1ab_3
backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
blinker=1.5=pyhd8ed1ab_0
branca=0.6.0=pyhd8ed1ab_0
brotlipy=0.7.0=py310h8d17308_1005
bzip2=1.0.8=h8ffe710_4
c-ares=1.18.1=h8ffe710_0
ca-certificates=2022.12.7=h5b45459_0
cachetools=5.3.0=pyhd8ed1ab_0
certifi=2022.12.7=pyhd8ed1ab_0
cffi=1.15.1=py310h628cb3f_3
charset-normalizer=2.1.1=pyhd8ed1ab_0
click=8.1.3=win_pyhd8ed1ab_2
colorama=0.4.6=pyhd8ed1ab_0
comm=0.1.2=pyhd8ed1ab_0
conda=22.11.1=py310h5588dad_1
conda-package-handling=2.0.2=pyh38be061_0
conda-package-streaming=0.7.0=pyhd8ed1ab_1
cryptography=39.0.0=py310h52f42fa_0
debugpy=1.6.6=py310h00ffb61_0
decorator=5.1.1=pyhd8ed1ab_0
entrypoints=0.4=pyhd8ed1ab_0
executing=1.2.0=pyhd8ed1ab_0
fmt=9.1.0=h181d51b_0
folium=0.14.0=pyhd8ed1ab_0
freetype=2.12.1=h546665d_1
gflags=2.2.2=ha925a31_1004
gitdb=4.0.10=pyhd8ed1ab_0
gitpython=3.1.31=pyhd8ed1ab_0
glog=0.6.0=h4797de2_0
grpc-cpp=1.46.4=hcb02dd0_7
idna=3.4=pyhd8ed1ab_0
importlib-metadata=6.0.0=pyha770c72_0
importlib_metadata=6.0.0=hd8ed1ab_0
importlib_resources=5.12.0=pyhd8ed1ab_0
intel-openmp=2023.0.0=h57928b3_25922
ipykernel=6.21.3=pyh025b116_0
ipython=8.11.0=pyh08f2357_0
ipywidgets=8.0.4=pyhd8ed1ab_0
jedi=0.18.2=pyhd8ed1ab_0
jinja2=3.1.2=pyhd8ed1ab_1
jsonschema=4.17.3=pyhd8ed1ab_0
jupyter_client=8.0.3=pyhd8ed1ab_0
jupyter_core=5.3.0=py310h5588dad_0
jupyterlab_widgets=3.0.5=pyhd8ed1ab_0
krb5=1.20.1=h6609f42_0
lcms2=2.15=h3e3b177_1
lerc=4.0.0=h63175ca_0
libabseil=20220623.0=cxx17_h1a56200_6
libarchive=3.6.2=h62576cb_0
libblas=3.9.0=16_win64_mkl
libbrotlicommon=1.0.9=hcfcfb64_8
libbrotlidec=1.0.9=hcfcfb64_8
libbrotlienc=1.0.9=hcfcfb64_8
libcblas=3.9.0=16_win64_mkl
libcrc32c=1.1.2=h0e60522_0
libcurl=7.88.1=h68f0423_0
libdeflate=1.17=hcfcfb64_0
libffi=3.4.2=h8ffe710_5
libgoogle-cloud=2.1.0=h1006c2c_1
libhwloc=2.9.0=h51c2c0f_0
libiconv=1.17=h8ffe710_0
libjpeg-turbo=2.1.5.1=hcfcfb64_0
liblapack=3.9.0=16_win64_mkl
libmamba=1.2.0=h37bf487_0
libmambapy=1.2.0=py310h954024b_0
libpng=1.6.39=h19919ed_0
libprotobuf=3.20.2=h12be248_0
libsodium=1.0.18=h8d14728_1
libsolv=0.7.23=h12be248_0
libsqlite=3.40.0=hcfcfb64_0
libssh2=1.10.0=h680486a_3
libthrift=0.16.0=h9f558f2_2
libtiff=4.5.0=hc3b8658_5
libutf8proc=2.8.0=h82a8f57_0
libwebp-base=1.3.0=hcfcfb64_0
libxcb=1.13=hcd874cb_1004
libxml2=2.10.3=hc3477c8_3
libzlib=1.2.13=hcfcfb64_4
lz4-c=1.9.4=hcfcfb64_0
lzo=2.10=he774522_1000
m2w64-gcc-libgfortran=5.3.0=6
m2w64-gcc-libs=5.3.0=7
m2w64-gcc-libs-core=5.3.0=7
m2w64-gmp=6.1.0=2
m2w64-libwinpthread-git=5.0.0.4634.697f757=2
mamba=1.2.0=py310h9376f3e_0
markdown-it-py=2.2.0=pyhd8ed1ab_0
markupsafe=2.1.2=py310h8d17308_0
matplotlib-inline=0.1.6=pyhd8ed1ab_0
mdurl=0.1.0=pyhd8ed1ab_0
menuinst=1.4.19=py310h5588dad_1
mkl=2022.1.0=h6a75c08_874
msys2-conda-epoch=20160418=1
nbformat=5.7.3=pyhd8ed1ab_0
nest-asyncio=1.5.6=pyhd8ed1ab_0
numpy=1.24.2=py310hd02465a_0
openjpeg=2.5.0=ha2aaf27_2
openssl=1.1.1t=hcfcfb64_0
packaging=23.0=pyhd8ed1ab_0
pandas=1.5.3=py310h1c4a608_0
parquet-cpp=1.5.1=2
parso=0.8.3=pyhd8ed1ab_0
pickleshare=0.7.5=py_1003
pillow=9.4.0=py310h3dcae36_2
pip=23.0.1=pyhd8ed1ab_0
pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0
platformdirs=3.1.1=pyhd8ed1ab_0
pluggy=1.0.0=pyhd8ed1ab_5
prompt-toolkit=3.0.38=pyha770c72_0
prompt_toolkit=3.0.38=hd8ed1ab_0
protobuf=3.20.2=py310h5588dad_1
psutil=5.9.4=py310h8d17308_0
pthread-stubs=0.4=hcd874cb_1001
pthreads-win32=2.9.1=hfa6e2cd_3
pure_eval=0.2.2=pyhd8ed1ab_0
pyarrow=9.0.0=py310h0c37ab2_2_cpu
pybind11-abi=4=hd8ed1ab_3
pycosat=0.6.4=py310h8d17308_1
pycparser=2.21=pyhd8ed1ab_0
pydeck=0.8.0=pyhd8ed1ab_0
pygments=2.14.0=pyhd8ed1ab_0
pympler=1.0.1=pyhd8ed1ab_0
pyopenssl=23.0.0=pyhd8ed1ab_0
pyrsistent=0.19.3=py310h8d17308_0
pysocks=1.7.1=pyh0701188_6
python=3.10.8=h0269646_0_cpython
python-dateutil=2.8.2=pyhd8ed1ab_0
python-fastjsonschema=2.16.3=pyhd8ed1ab_0
python-tzdata=2022.7=pyhd8ed1ab_0
python_abi=3.10=3_cp310
pytz=2022.7.1=pyhd8ed1ab_0
pytz-deprecation-shim=0.1.0.post0=py310h5588dad_3
pywin32=304=py310h00ffb61_2
pyyaml=6.0=py310h8d17308_5
pyzmq=25.0.1=py310hcd737a0_0
re2=2022.06.01=h0e60522_1
reproc=14.2.4=hcfcfb64_0
reproc-cpp=14.2.4=h63175ca_0
requests=2.28.2=pyhd8ed1ab_0
rich=13.3.2=pyhd8ed1ab_0
ruamel.yaml=0.17.21=py310h8d17308_3
ruamel.yaml.clib=0.2.7=py310h8d17308_1
semver=2.13.0=pyh9f0ad1d_0
setuptools=67.6.0=pyhd8ed1ab_0
six=1.16.0=pyh6c4a22f_0
smmap=3.0.5=pyh44b312d_0
snappy=1.1.10=hfb803bf_0
stack_data=0.6.2=pyhd8ed1ab_0
streamlit=1.20.0=pyhd8ed1ab_0
tbb=2021.8.0=h91493d7_0
tk=8.6.12=h8ffe710_0
toml=0.10.2=pyhd8ed1ab_0
toolz=0.12.0=pyhd8ed1ab_0
tornado=6.2=py310h8d17308_1
tqdm=4.65.0=pyhd8ed1ab_1
traitlets=5.9.0=pyhd8ed1ab_0
typing_extensions=4.5.0=pyha770c72_0
tzdata=2022g=h191b570_0
tzlocal=4.2=py310h5588dad_2
ucrt=10.0.22621.0=h57928b3_0
urllib3=1.26.15=pyhd8ed1ab_0
validators=0.20.0=pyhd8ed1ab_0
vc=14.3=hb6edc58_10
vs2015_runtime=14.34.31931=h4c5c07a_10
watchdog=2.3.1=py310h5588dad_0
wcwidth=0.2.6=pyhd8ed1ab_0
wheel=0.40.0=pyhd8ed1ab_0
widgetsnbextension=4.0.5=pyhd8ed1ab_0
win_inet_pton=1.1.0=pyhd8ed1ab_6
xorg-libxau=1.0.9=hcd874cb_0
xorg-libxdmcp=1.1.3=hcd874cb_0
xz=5.2.6=h8d14728_0
yaml=0.2.5=h8ffe710_2
yaml-cpp=0.7.0=h63175ca_2
zeromq=4.3.4=h0e60522_1
zipp=3.15.0=pyhd8ed1ab_0
zlib=1.2.13=hcfcfb64_4
zstandard=0.19.0=py310h0009e47_1
zstd=1.5.2=h12be248_6
Additional info
The anaconda, conda and python are all clean and fresh installs, I redone the whole setup after cleaning the system. Previously to this, streamlit was already causing issues with its typeguarde error (openned an github issue, didn’t do much) and donwgrading whenever earthengine-api is installed on same environnement and causing conflicts if updated after the downgrade.