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Posted to notifications@superset.apache.org by "lgiammattei (via GitHub)" <gi...@apache.org> on 2026/08/24 17:25:21 UTC
[D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
GitHub user lgiammattei created a discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
### Bug description
Hi everyone, I'm not sure if this is the right place to report this and ask for help, or if my request is legitimate after all. If it isn't, I apologize in advance for your time and attention.
I'm trying to install superset locally on my PC to study it and see if it might be suitable for some work I have planned.
PC with Windows 11 fully updated and with Python 3.14
After creating a virtual Python environment, I proceed to install superset with the command
`pip install apache-superset`
but the installation always fails when trying to installa numpy 2.2.6 package:
```
Collecting numpy<2.3,>1.23.5 (from apache-superset)
Downloading numpy-2.2.6.tar.gz (20.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20.3/20.3 MB 3.9 MB/s 0:00:05
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... error
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [21 lines of output]
+ C:\superset_project\superset-env\Scripts\python.exe C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd\vendored-meson\meson\meson.py setup C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd\.mesonpy-m0kwdtfv -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd\.mesonpy-m0kwdtfv\meson-python-native-file.ini
The Meson build system
Version: 1.5.2
Source dir: C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd
Build dir: C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd\.mesonpy-m0kwdtfv
Build type: native build
Project name: NumPy
Project version: 2.2.6
WARNING: Failed to activate VS environment: Could not parse vswhere.exe output
..\meson.build:1:0: ERROR: Unknown compiler(s): [['icl'], ['cl'], ['cc'], ['gcc'], ['clang'], ['clang-cl'], ['pgcc']]
The following exception(s) were encountered:
Running `icl ""` gave "[WinError 2] Impossibile trovare il file specificato"
Running `cl /?` gave "[WinError 2] Impossibile trovare il file specificato"
Running `cc --version` gave "[WinError 2] Impossibile trovare il file specificato"
Running `gcc --version` gave "[WinError 2] Impossibile trovare il file specificato"
Running `clang --version` gave "[WinError 2] Impossibile trovare il file specificato"
Running `clang-cl /?` gave "[WinError 2] Impossibile trovare il file specificato"
Running `pgcc --version` gave "[WinError 2] Impossibile trovare il file specificato"
A full log can be found at C:\Users\l.giammattei\AppData\Local\Temp\pip-install-b3mpgmja\numpy_d25dccc0223c4e099c44c7f3ab8507fd\.mesonpy-m0kwdtfv\meson-logs\meson-log.txt
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> numpy
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
```
Is there a way to overcome this problem, or is it always better to install via Docker to have a test environment?
### Screenshots/recordings
_No response_
### Superset version
master / latest-dev
### Python version
3.14
### Node version
24.15
### Browser
Firefox
### Additional context
_No response_
### Checklist
- [ x] I have searched Superset docs and Slack and didn't find a solution to my problem.
GitHub link: https://github.com/apache/superset/discussions/43475
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "lgiammattei (via GitHub)" <gi...@apache.org>.
GitHub user lgiammattei edited a comment on the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
I was able to get Apache Superset up and running with Docker and WSL2, and get it working by accessing data from a DB2 for IBM i (aka AS/400). I thought I'd leave a few notes here that might be helpful to anyone else who might be interested in a similar work environment (whether for development or production).
I installed Superset in "dev mode" via Docker Compose (built from source), with the IBM i Access ODBC driver integrated so you can connect to Db2 for IBM i through the `sqlalchemy-ibmi` SQLAlchemy dialect.
## 1. Prerequisites
- [ ] Windows 10/11 with **WSL2** already installed and enabled (check with `wsl --status` in PowerShell)
- [ ] A Linux distribution installed in WSL2 (e.g. Ubuntu) — check with `wsl -l -v`, it must show `VERSION 2`
- [ ] **Docker Desktop** installed on Windows
- [ ] Access to an **IBM ID** to download the "IBM i Access Client Solutions" ODBC driver (Linux)
- [ ] Your Db2 for i connection details (host/IP, port, user, password, default library or `*LOCAL`)
- [ ] Git installed inside the WSL2 distribution (usually already present on Ubuntu; check with `git --version`)
---
## 2. Configure Docker Desktop to use WSL2
- [ ] Open Docker Desktop
- [ ] Go to **Settings (gear icon) > Resources > WSL Integration**
- [x] Enable **"Enable integration with my default WSL distro"**
- [ ] Also enable the specific toggle next to your distro's name (e.g. Ubuntu)
- [ ] Click **Apply & Restart**
- [ ] Open a WSL2 terminal (from PowerShell: `wsl`, or open the "Ubuntu" app from the Start menu)
- [ ] Verify: `docker --version` should return a version number with no errors
- [ ] If you get `permission denied ... docker.sock`: close and reopen the WSL2 session (this
alone is often enough — the integration adds your user to the `docker` group, but a new
session is required for it to take effect). If it persists: `sudo usermod -aG docker $USER`,
then close and reopen the terminal again
---
## 3. Get the IBM i Access ODBC driver for Linux
- [ ] Log in to the IBM site (search for IBM i Access Client Solutions download) with your IBM ID
- [ ] The file you need to download is called **`IBMiAccess_v1r1_LinuxAP.zip`** (not a `.deb`
directly — it's a zip archive that contains both the `.deb` and the `.rpm` packages inside it, e.g.
`ibm-iaccess-1.1.0.29-1.0.amd64.deb`)
- [ ] Extract the zip and locate the `.deb` file inside it
- [ ] Copy the extracted `.deb` file **into WSL2** (no need to leave it on Windows): from the
WSL2 shell, e.g. `cp /mnt/c/Users/<youruser>/Downloads/ibm-iaccess-*.deb ~/`
---
## 4. Clone the Superset repository **inside WSL2** (not on C:\)
- [ ] Open the WSL2 terminal
- [ ] Create a working folder in the native Linux filesystem: `mkdir -p ~/dev && cd ~/dev`
- [ ] Clone the official repository: `git clone https://github.com/apache/superset.git`
- [ ] Enter the folder: `cd superset`
## 5. Add the Db2 for i driver to the repository
- [ ] Create a folder for the driver: `mkdir -p ~/dev/superset/docker/vendor`
- [ ] Copy the downloaded `.deb` file: `cp ~/ibm-iaccess-*.deb ~/dev/superset/docker/vendor/`
- [ ] Open the Dockerfile at the root of the repo: `~/dev/superset/Dockerfile`
- [ ] Find, in the **`dev` stage** (the one used by `docker-compose.yml` via
`target: ${SUPERSET_BUILD_TARGET:-dev}`), the block that looks like:
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev
```
- [ ] Replace it with (adding `unixodbc`/`unixodbc-dev` and installing the IBM driver):
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev \
unixodbc \
unixodbc-dev
# IBM i Access Client Solutions ODBC driver (for Db2 for i)
COPY docker/vendor/ibm-iaccess-1.1.0.29-1.0.amd64.deb /tmp/ibm-iaccess.deb
RUN /app/docker/apt-install.sh /tmp/ibm-iaccess.deb
```
(adjust the exact `.deb` filename to match the version you downloaded)
- [ ] This block must come **before** the `USER superset` line in the same stage, otherwise
the apt install will fail due to insufficient permissions
- [ ] Create (or edit) the file `~/dev/superset/docker/requirements-local.txt`, adding:
```
pyodbc
sqlalchemy-ibmi
```
(this file is read automatically at runtime by `docker-bootstrap.sh` and installed via
pip on every startup of the Python containers — no rebuild needed if you edit it later)
---
## 6. Build and start the stack
- [ ] From the repo root (`~/dev/superset`), build the Python services involved:
```
docker compose build superset superset-init superset-worker superset-worker-beat
```
- [ ] Start the whole stack:
```
docker compose up -d
```
- [ ] Follow the initialization logs:
```
docker compose logs -f superset-init
```
Wait for `Init Step 4/4 [Complete]` to appear and for the container to exit successfully
(inside native WSL2 this typically takes 1-3 minutes, not more than 15)
- [ ] Check the status of all services: `docker compose ps` — everything should show `Up`
(or `healthy` for `superset`/`superset-worker` after a minute or two)
---
## 7. First login
- [ ] Open your browser at `http://localhost` (port 80, via nginx) or `http://localhost:8088`
(the Superset service's direct port)
- [ ] Log in with the default credentials: **admin / admin** (customizable in `docker/.env`
or `docker/.env-local` via the `ADMIN_USERNAME`/`ADMIN_PASSWORD` variables)
---
## 8. Configure the Db2 for i connection
- [ ] Go to **Settings > Database Connections > + Database**
- [ ] If available, pick the **"IBM Db2 for i"** type from the preset list; otherwise choose
**"Other"**
- [ ] Enter as the **SQLAlchemy URI**:
```
ibmi://USER:PASSWORD@IBM_I_HOST/LIBRARY_NAME
```
(omit `/LIBRARY_NAME` to use `*LOCAL`, the user's default library)
- [ ] Click **Test Connection** — you should see "Connection looks good"
- [ ] Save the connection
- [ ] Verify with a test query in **SQL Lab**, e.g.:
```sql
SELECT * FROM SCHEMANAME.TABLENAME FETCH FIRST 10 ROWS ONLY
```
GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18162885
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "lgiammattei (via GitHub)" <gi...@apache.org>.
GitHub user lgiammattei edited a comment on the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
I was able to get Apache Superset up and running with Docker and WSL2, and get it working by accessing data from a DB2 for IBM i (aka AS/400). I thought I'd leave a few notes here that might be helpful to anyone else who might be interested in a similar work environment (whether for development or production).
I installed Superset in "dev mode" via Docker Compose (built from source), with the IBM i Access ODBC driver integrated so you can connect to Db2 for IBM i through the `sqlalchemy-ibmi` SQLAlchemy dialect.
## 1. Prerequisites
- [ ] Windows 10/11 with **WSL2** already installed and enabled (check with `wsl --status` in PowerShell)
- [ ] A Linux distribution installed in WSL2 (e.g. Ubuntu) — check with `wsl -l -v`, it must show `VERSION 2`
- [ ] **Docker Desktop** installed on Windows
- [ ] Access to an **IBM ID** to download the "IBM i Access Client Solutions" ODBC driver (Linux)
- [ ] Your Db2 for i connection details (host/IP, port, user, password, default library or `*LOCAL`)
- [ ] Git installed inside the WSL2 distribution (usually already present on Ubuntu; check with `git --version`)
---
## 2. Configure Docker Desktop to use WSL2
- [ ] Open Docker Desktop
- [ ] Go to **Settings (gear icon) > Resources > WSL Integration**
- [ ] Enable **"Enable integration with my default WSL distro"**
- [ ] Also enable the specific toggle next to your distro's name (e.g. Ubuntu)
- [ ] Click **Apply & Restart**
- [ ] Open a WSL2 terminal (from PowerShell: `wsl`, or open the "Ubuntu" app from the Start menu)
- [ ] Verify: `docker --version` should return a version number with no errors
- [ ] If you get `permission denied ... docker.sock`: close and reopen the WSL2 session (this
alone is often enough — the integration adds your user to the `docker` group, but a new
session is required for it to take effect). If it persists: `sudo usermod -aG docker $USER`,
then close and reopen the terminal again
---
## 3. Get the IBM i Access ODBC driver for Linux
- [ ] Log in to the IBM site (search for IBM i Access Client Solutions download) with your IBM ID
- [ ] The file you need to download is called **`IBMiAccess_v1r1_LinuxAP.zip`** (not a `.deb`
directly — it's a zip archive that contains both the `.deb` and the `.rpm` packages inside it, e.g.
`ibm-iaccess-1.1.0.29-1.0.amd64.deb`)
- [ ] Extract the zip and locate the `.deb` file inside it
- [ ] Copy the extracted `.deb` file **into WSL2** (no need to leave it on Windows): from the
WSL2 shell, e.g. `cp /mnt/c/Users/<youruser>/Downloads/ibm-iaccess-*.deb ~/`
---
## 4. Clone the Superset repository **inside WSL2** (not on C:\)
- [ ] Open the WSL2 terminal
- [ ] Create a working folder in the native Linux filesystem: `mkdir -p ~/dev && cd ~/dev`
- [ ] Clone the official repository: `git clone https://github.com/apache/superset.git`
- [ ] Enter the folder: `cd superset`
## 5. Add the Db2 for i driver to the repository
- [ ] Create a folder for the driver: `mkdir -p ~/dev/superset/docker/vendor`
- [ ] Copy the downloaded `.deb` file: `cp ~/ibm-iaccess-*.deb ~/dev/superset/docker/vendor/`
- [ ] Open the Dockerfile at the root of the repo: `~/dev/superset/Dockerfile`
- [ ] Find, in the **`dev` stage** (the one used by `docker-compose.yml` via
`target: ${SUPERSET_BUILD_TARGET:-dev}`), the block that looks like:
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev
```
- [ ] Replace it with (adding `unixodbc`/`unixodbc-dev` and installing the IBM driver):
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev \
unixodbc \
unixodbc-dev
# IBM i Access Client Solutions ODBC driver (for Db2 for i)
COPY docker/vendor/ibm-iaccess-1.1.0.29-1.0.amd64.deb /tmp/ibm-iaccess.deb
RUN /app/docker/apt-install.sh /tmp/ibm-iaccess.deb
```
(adjust the exact `.deb` filename to match the version you downloaded)
- [ ] This block must come **before** the `USER superset` line in the same stage, otherwise
the apt install will fail due to insufficient permissions
- [ ] Create (or edit) the file `~/dev/superset/docker/requirements-local.txt`, adding:
```
pyodbc
sqlalchemy-ibmi
```
(this file is read automatically at runtime by `docker-bootstrap.sh` and installed via
pip on every startup of the Python containers — no rebuild needed if you edit it later)
---
## 6. Build and start the stack
- [ ] From the repo root (`~/dev/superset`), build the Python services involved:
```
docker compose build superset superset-init superset-worker superset-worker-beat
```
- [ ] Start the whole stack:
```
docker compose up -d
```
- [ ] Follow the initialization logs:
```
docker compose logs -f superset-init
```
Wait for `Init Step 4/4 [Complete]` to appear and for the container to exit successfully
(inside native WSL2 this typically takes 1-3 minutes, not more than 15)
- [ ] Check the status of all services: `docker compose ps` — everything should show `Up`
(or `healthy` for `superset`/`superset-worker` after a minute or two)
---
## 7. First login
- [ ] Open your browser at `http://localhost` (port 80, via nginx) or `http://localhost:8088`
(the Superset service's direct port)
- [ ] Log in with the default credentials: **admin / admin** (customizable in `docker/.env`
or `docker/.env-local` via the `ADMIN_USERNAME`/`ADMIN_PASSWORD` variables)
---
## 8. Configure the Db2 for i connection
- [ ] Go to **Settings > Database Connections > + Database**
- [ ] If available, pick the **"IBM Db2 for i"** type from the preset list; otherwise choose
**"Other"**
- [ ] Enter as the **SQLAlchemy URI**:
```
ibmi://USER:PASSWORD@IBM_I_HOST/LIBRARY_NAME
```
(omit `/LIBRARY_NAME` to use `*LOCAL`, the user's default library)
- [ ] Click **Test Connection** — you should see "Connection looks good"
- [ ] Save the connection
- [ ] Verify with a test query in **SQL Lab**, e.g.:
```sql
SELECT * FROM SCHEMANAME.TABLENAME FETCH FIRST 10 ROWS ONLY
```
GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18162885
----
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "lgiammattei (via GitHub)" <gi...@apache.org>.
GitHub user lgiammattei added a comment to the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
I was able to get Apache Superset up and running with Docker and WSL2, and get it working by accessing data from a DB2 for IBM i (aka AS/400). I thought I'd leave a few notes here that might be helpful to anyone else who might be interested in a similar work environment (whether for development or production).
I installed Superset in "dev mode" via Docker Compose (built from source), with the IBM i Access ODBC driver integrated so you can connect to Db2 for IBM i through the `sqlalchemy-ibmi` SQLAlchemy dialect.
## 1. Prerequisites
- [ ] Windows 10/11 with **WSL2** already installed and enabled (check with `wsl --status` in PowerShell)
- [ ] A Linux distribution installed in WSL2 (e.g. Ubuntu) — check with `wsl -l -v`, it must show `VERSION 2`
- [ ] **Docker Desktop** installed on Windows
- [ ] Access to an **IBM ID** to download the "IBM i Access Client Solutions" ODBC driver (Linux)
- [ ] Your Db2 for i connection details (host/IP, port, user, password, default library or `*LOCAL`)
- [ ] Git installed inside the WSL2 distribution (usually already present on Ubuntu; check with `git --version`)
---
## 2. Configure Docker Desktop to use WSL2
- [ ] Open Docker Desktop
- [ ] Go to **Settings (gear icon) > Resources > WSL Integration**
- [ ] Enable **"Enable integration with my default WSL distro"**
- [ ] Also enable the specific toggle next to your distro's name (e.g. Ubuntu)
- [ ] Click **Apply & Restart**
- [ ] Open a WSL2 terminal (from PowerShell: `wsl`, or open the "Ubuntu" app from the Start menu)
- [ ] Verify: `docker --version` should return a version number with no errors
- [ ] If you get `permission denied ... docker.sock`: close and reopen the WSL2 session (this
alone is often enough — the integration adds your user to the `docker` group, but a new
session is required for it to take effect). If it persists: `sudo usermod -aG docker $USER`,
then close and reopen the terminal again
---
## 3. Get the IBM i Access ODBC driver for Linux
- [ ] Log in to the IBM site (search for IBM i Access Client Solutions download) with your IBM ID
- [ ] The file you need to download is called **`IBMiAccess_v1r1_LinuxAP.zip`** (not a `.deb`
directly — it's a zip archive that contains both the `.deb` and the `.rpm` packages inside it, e.g.
`ibm-iaccess-1.1.0.29-1.0.amd64.deb`)
- [ ] Extract the zip and locate the `.deb` file inside it
- [ ] Copy the extracted `.deb` file **into WSL2** (no need to leave it on Windows): from the
WSL2 shell, e.g. `cp /mnt/c/Users/<youruser>/Downloads/ibm-iaccess-*.deb ~/`
---
## 4. Clone the Superset repository **inside WSL2** (not on C:\)
- [ ] Open the WSL2 terminal
- [ ] Create a working folder in the native Linux filesystem: `mkdir -p ~/dev && cd ~/dev`
- [ ] Clone the official repository: `git clone https://github.com/apache/superset.git`
- [ ] Enter the folder: `cd superset`
## 5. Add the Db2 for i driver to the repository
- [ ] Create a folder for the driver: `mkdir -p ~/dev/superset/docker/vendor`
- [ ] Copy the downloaded `.deb` file: `cp ~/ibm-iaccess-*.deb ~/dev/superset/docker/vendor/`
- [ ] Open the Dockerfile at the root of the repo: `~/dev/superset/Dockerfile`
- [ ] Find, in the **`dev` stage** (the one used by `docker-compose.yml` via
`target: ${SUPERSET_BUILD_TARGET:-dev}`), the block that looks like:
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev
```
- [ ] Replace it with (adding `unixodbc`/`unixodbc-dev` and installing the IBM driver):
```dockerfile
# Debian libs needed for dev
RUN /app/docker/apt-install.sh \
git \
pkg-config \
default-libmysqlclient-dev \
unixodbc \
unixodbc-dev
# IBM i Access Client Solutions ODBC driver (for Db2 for i)
COPY docker/vendor/ibm-iaccess-1.1.0.29-1.0.amd64.deb /tmp/ibm-iaccess.deb
RUN /app/docker/apt-install.sh /tmp/ibm-iaccess.deb
```
(adjust the exact `.deb` filename to match the version you downloaded)
- [ ] This block must come **before** the `USER superset` line in the same stage, otherwise
the apt install will fail due to insufficient permissions
- [ ] Create (or edit) the file `~/dev/superset/docker/requirements-local.txt`, adding:
```
pyodbc
sqlalchemy-ibmi
```
(this file is read automatically at runtime by `docker-bootstrap.sh` and installed via
pip on every startup of the Python containers — no rebuild needed if you edit it later)
---
## 6. Build and start the stack
- [ ] From the repo root (`~/dev/superset`), build the Python services involved:
```
docker compose build superset superset-init superset-worker superset-worker-beat
```
- [ ] Start the whole stack:
```
docker compose up -d
```
- [ ] Follow the initialization logs:
```
docker compose logs -f superset-init
```
Wait for `Init Step 4/4 [Complete]` to appear and for the container to exit successfully
(inside native WSL2 this typically takes 1-3 minutes, not more than 15)
- [ ] Check the status of all services: `docker compose ps` — everything should show `Up`
(or `healthy` for `superset`/`superset-worker` after a minute or two)
---
## 7. First login
- [ ] Open your browser at `http://localhost` (port 80, via nginx) or `http://localhost:8088`
(the Superset service's direct port)
- [ ] Log in with the default credentials: **admin / admin** (customizable in `docker/.env`
or `docker/.env-local` via the `ADMIN_USERNAME`/`ADMIN_PASSWORD` variables)
---
## 8. Configure the Db2 for i connection
- [ ] Go to **Settings > Database Connections > + Database**
- [ ] If available, pick the **"IBM Db2 for i"** type from the preset list; otherwise choose
**"Other"**
- [ ] Enter as the **SQLAlchemy URI**:
```
ibmi://USER:PASSWORD@IBM_I_HOST/LIBRARY_NAME
```
(omit `/LIBRARY_NAME` to use `*LOCAL`, the user's default library)
- [ ] Click **Test Connection** — you should see "Connection looks good"
- [ ] Save the connection
- [ ] Verify with a test query in **SQL Lab**, e.g.:
```sql
SELECT * FROM SCHEMANAME.TABLENAME FETCH FIRST 10 ROWS ONLY
```
GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18162885
----
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "dosubot[bot] (via GitHub)" <gi...@apache.org>.
GitHub user dosubot[bot] added a comment to the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
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Hi @lgiammattei! The root cause of your error is that numpy 2.2.6 is being **compiled from source**, 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 don't exist yet, so pip falls back to building from source.
Two important things to note:
1. **Windows is not officially supported.** As the maintainer @rusackas confirmed, Superset doesn't have official Windows support [[1]](https://github.com/apache/superset/issues/43452#issuecomment-5392943805), so you may hit further issues even if you get past this numpy hurdle.
2. **Python 3.14 is too new.** Python 3.14 is pre-release, and many packages (including numpy) don't yet ship pre-built wheels for it — which is exactly why pip tries to compile from source. Superset itself hasn't been tested against 3.14 either.
Your best options:
- **Docker (recommended for your use case):** Use Docker Desktop with the provided `docker-compose-image-tag.yml` to pull a pre-built release image [[2]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/e49f28b4-239c-4065-9d84-18b213b31d43). This sidesteps all Windows/compiler issues and gets you a fully functional Superset with a single `docker compose up` command.
- **WSL2:** Install WSL2 with Ubuntu, then follow the standard Linux pip install with Python 3.11. This gives you a proper Linux environment without leaving Windows.
- **Fix the native install (not recommended):** 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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GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18138544
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "dosubot[bot] (via GitHub)" <gi...@apache.org>.
GitHub user dosubot[bot] added a comment to the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
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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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GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18138537
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Re: [D] Failing to install superset locally on a windows 11 pc in a python virtual environment [superset]
Posted by "rusackas (via GitHub)" <gi...@apache.org>.
GitHub user rusackas added a comment to the discussion: Failing to install superset locally on a windows 11 pc in a python virtual environment
As stated, Windows is not officially supported. We'd welcome PRs/docs to MAKE it official, but meanwhile I'll move this to a Help discussion.
GitHub link: https://github.com/apache/superset/discussions/43475#discussioncomment-18138538
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