Skip to main content
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.

​
Managing Dependencies

​
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).

​
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.

​
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).

​
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.