dosubot[bot] commented on issue #43452:
URL: https://github.com/apache/superset/issues/43452#issuecomment-5392943805

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   <!-- Answer -->
   Hi @lgiammattei! I'm [Dosu](https://go.dosu.dev/dosubot) and I'm helping the 
Apache Superset team.
   
   The root cause of your error is that numpy 2.2.6 is being **compiled from 
source** on your machine, and its Meson-based build system can't find a C 
compiler. The error `Unknown compiler(s): [['icl'], ['cl'], ['cc'], ['gcc'], 
...]` confirms no compatible C toolchain is installed. This happens because 
pre-built numpy wheels for Python 3.14 on Windows likely don't exist yet, so 
pip falls back to building from source.
   
   Two important things to note:
   
   1. **Windows is not officially supported.** The Superset docs state: 
*"Superset does not have official support for Windows."* 
[[1]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docs/docs/installation/docker-compose.mdx#L24-L27).
 You will likely encounter further issues even if you get past this numpy 
hurdle.
   
   2. **Python 3.14 is too new.** Python 3.14 is currently in pre-release, and 
many packages (including numpy) don't ship pre-built wheels for it yet — which 
is exactly why pip is trying to compile from source. Superset itself hasn't 
been tested against 3.14 either. You should use **Python 3.11** instead.
   
   Your best options:
   
   - **Docker (recommended):** Use Docker Desktop with the provided 
`docker-compose.yml`. This is the smoothest path and sidesteps all 
Windows/compiler issues. You can have a fully functional Superset running with 
a single `docker compose up` command 
[[1]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docs/docs/installation/docker-compose.mdx#L24-L27).
   
   - **WSL2 (Windows Subsystem for Linux):** Install WSL2 with Ubuntu, then 
follow the standard Linux pip install instructions with Python 3.11. This gives 
you a proper Linux environment without leaving Windows.
   
   - **Fix the native install (not recommended):** If you still want a native 
Windows venv, install [Microsoft Visual C++ Build 
Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) (which 
provides `cl.exe`) **and** downgrade to Python 3.11. That said, you're likely 
to hit more Windows-specific issues downstream.
   
   For a quick study/evaluation environment, Docker Compose is genuinely the 
easiest path.
   
   
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