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Documentation Index

Fetch the complete documentation index at: https://docs.davinci-app.com/llms.txt

Use this file to discover all available pages before exploring further.

Dependencies allow you to extend the functionality of your Code Objects by importing external Python libraries. These libraries are pulled from PyPI or a direct URL and made available to the project’s Python environment.

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Managing Dependencies

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Adding Dependencies

To add a new library to your project:
  1. Click the New Dependency button.
  2. Enter the PyPI package name (e.g., pandas, requests) OR the URL pointing to a specific package distribution.
  3. The system will attempt to resolve and install the package.
Davinci runs Python code directly in the browser using a WebAssembly environment. Not all Python packages are compatible, particularly those that rely on C-extensions not compiled for WebAssembly (WASM).

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Removing Dependencies

To remove a package that is no longer needed:
  1. Find the package in the dependencies list.
  2. Click the trash can icon on the right side of the row.

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Pre-installed Packages

Davinci comes with a set of commonly used scientific and utility packages pre-installed. You do not need to add these as dependencies. See the Code View documentation for a full list of available pre-installed packages (including numpy, scipy, matplotlib, and more).

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Version Control

Dependencies are tracked as part of your project configuration in Version Control.
  • Branch Consistency: Different branches can have different sets of installed dependencies. If code works on one branch but not another, check the Dependencies list to ensure required packages are installed.
  • Merging: Dependency configurations are merged automatically. Unlike model objects, dependencies cannot generate merge conflicts; the system handles the reconciliation of package lists during a merge.