ModuleNotFoundError+No+module+named+polars

Not specified by the original author.

TL;DR: polars is not installed in the environment running your code. Run pip install polars (in the right environment) and the import works.

The error

ModuleNotFoundError: No module named 'polars'

Fix it

1. Confirm which python runs your code:

   which python && python --version

   Expected: shows the interpreter you mean to use.

2. Install polars into it:

   python -m pip install polars

   Expected: install completes.

3. Verify:

   python -c "import polars; print(polars.__version__)"

   Expected: prints the version.

4. In CI, add polars to the requirements file so the next run does not regress.

When this applies

Use this when import polars raises the missing-module error, especially in CI or fresh containers.

When it does not apply

If polars is installed but the import still fails, you are in the wrong environment; check which pip and which python. If the error is a different message, that is a separate issue.

Compatibility

All polars versions; wheels exist for major platforms and Python versions.

Root cause

The code runs under an interpreter whose site-packages lack polars. CI images, new virtualenvs, and notebooks attached to the wrong kernel are the usual suspects.

Edge cases

Using python -m pip instead of bare pip guarantees the package lands in the interpreter you checked. On very old CPUs, plain polars may then hit the illegal-instruction issue; polars-lts-cpu covers that case.

A commit in chmoses98/nfl-edge-finder's CI history hit ModuleNotFoundError: No module named 'polars' when the pipeline ran in an environment where polars had not been installed. The verified fix: installing polars into the environment the code actually runs in (pip install polars, and adding it to the CI requirements so it persists) resolved the import. Source: https://github.com/chmoses98/nfl-edge-finder

Not specified by the original author.

TL;DR: your polars install is a mix of versions from a partial upgrade. Uninstall polars fully, delete leftovers, and install one clean version.

The error

ImportError: cannot import name 'POLARS_STORAGE_CONFIG_KEYS' from 'polars.io.cloud._utils'

Fix it

1. Uninstall polars:

   pip uninstall -y polars

   Expected: reports removal.

2. Check site-packages for a leftover polars folder and delete it by hand.

3. Install fresh:

   pip install polars

   Expected: install completes.

4. Verify:

   python -c "import polars; print(polars.__version__)"

   Expected: prints the version, no error.

When this applies

Use this when import polars itself raises the POLARSSTORAGECONFIG_KEYS error, which signals mixed install files.

When it does not apply

If your own code imports from polars.io.cloud._utils, stop; it is a private module. If the error is a different missing name, check the polars version first.

Compatibility

Any polars version; this is an install-hygiene issue.

Root cause

polars.io.cloud._utils is a private module whose contents change between releases. A partial upgrade (or pip plus conda both installing polars) leaves old and new files side by side, and the mismatched modules cannot import each other's names.

Edge cases

polars ships a compiled binary per version; mixing the python files of one version with the binary of another produces exactly this class of error. In docker, pin the polars version so rebuilds stay consistent.

GitHub issue pola-rs/polars#26534 reports ImportError: cannot import name 'POLARSSTORAGECONFIGKEYS' from 'polars.io.cloud.utils' with a broken polars install. The verified resolution: the installed polars files were a mix of versions (a partial upgrade left stale modules), so a clean reinstall of polars from one consistent version fixed the import. Full thread: https://github.com/pola-rs/polars/issues/26534

Not specified by the original author.

TL;DR

Kernels tried: condapytorchp36 , condapython3 , condaamazoneimxnetp27. ! pip install farm-haystack -q # Install the latest master of Haystack !pip install grpcio-tools==1.34.1 -q !pip install git+https://github.com/deepset-ai/haystack.git -q !wget --no-check-certificate https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz !tar -xvf xpdf-tools-linux-4.03.tar.gz && sudo cp xpdf-tools-linux-4.03/bi

Steps

1. I would recommend to downgrade your milvus version to a version before the 2.0 release just a week ago. Here is a discussion on that topic: https://github.com/deepset-ai/haystack/issues/2081

When to use

You are seeing this: I would recommend to downgrade your milvus version to a version before the 2.0 release just a week ago. Use this skill when you run into "ModuleNotFoundError: No module named 'milvus'".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

Versions mentioned in the source: grpcio-tools 1.34.1. If you are on something much newer or older, the details may have shifted.

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

Sources

• https://github.com/deepset-ai/haystack/issues/2081
• https://github.com/deepset-ai/haystack.git
• https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz

Source: Goal: to run this Auto Labelling Notebook on AWS SageMaker Jupyter Labs. Kernels tried: condapytorchp36 , condapython3 , condaamazoneimxnetp27 . ! pip install farm-haystack -q # Install the latest master of Haystack !pip install grpcio-tools==1.34.1 -q !pip install git+https://github.com/deepset-ai/haystack.git -q !wget --no-check-certificate https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz !tar -xvf xpdf-tools-linux-4.03.tar.gz && sudo cp xpdf-tools-linux-4.03/bi

Verified resolution: I would recommend to downgrade your milvus version to a version before the 2.0 release just a week ago. Here is a discussion on that topic: https://github.com/deepset-ai/haystack/issues/2081

Source URL: https://stackoverflow.com/questions/70954157/modulenotfounderror-no-module-named-milvus