Find and install compatible Python packages

App version: 1.0.1iPad · iPhoneContent checked: 2026-09-21Screenshot UI: EnglishStandard / Pro

What you will do

Find bundled libraries and install a compatible additional package.

Before you start

• An active Standard or Pro subscription, or an eligible trial.
• A working internet connection for the service or download used in this tutorial.

Download the tutorial workspace

Where to start

File browser → … → Packages

Follow the steps

1. 1Open the package catalogBrowse installed and available packages, or search by the package name. Bundled native libraries are already part of Vibeit.
2. 2Check the package detailsRead the available versions and compatibility result. The iPad runtime cannot install every desktop native extension.
3. 3Install an eligible versionChoose an installable version, review its dependencies and tap Install. Wait for completion before importing it.
4. 4Test the importRun a small import in the same runtime where you installed the package. Remote packages belong to the selected server interpreter.
   Copy code

   import pandas
   print("pandas available:", pandas.__version__ is not None)

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1. Open the package catalog — Browse installed and available packages, or search by the package name. Bundled native libraries are already part of Vibeit.

1

2. Check the package details — Read the available versions and compatibility result. The iPad runtime cannot install every desktop native extension.

2

3. Install an eligible version — Choose an installable version, review its dependencies and tap Install. Wait for completion before importing it.

3

4. Test the import — Run a small import in the same runtime where you installed the package. Remote packages belong to the selected server interpreter.

import pandas
print("pandas available:", pandas.__version__ is not None)

4

Check the result

Run a small import in the same runtime where you installed the package. Remote packages belong to the selected server interpreter.

If it does not work

• If a newly saved token or environment value is not visible to Python, restart the kernel.
• For 401/403 responses, check the token and the resource’s account permissions.
• If a file downloads but does not load, check its format, required packages and available memory.

Next steps

• Download and manage model files
• Choose a remote Python environment

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