Wetlands – a lightweight Python library for managing Conda environments

In plain words

Wetlands is a lightweight Python library that creates and manages isolated Conda environments for plugin systems. It allows users to create environments with specific dependencies, execute arbitrary Python code within those environments, and retrieve results. The library uses inter-process communication via multiprocessing.connection and pickle, and supports shared memory between environments for efficient data exchange, helping prevent dependency conflicts in complex applications.

written from the facts on this page · September 2026

From the sources

Wetlands is a lightweight Python library for managing Conda environments. Wetlands can create Conda environments on demand, install dependencies, and execute arbitrary code within them. This makes it easy to build plugin systems or integrate external modules into an application without dependency conflicts, as each environment remains isolated. The name Wetlands comes from the tropical environments where anacondas thrive. from wetlands.environment_manager import EnvironmentManager # Initialize the environment manager environmentManager = EnvironmentManager ( "pixi/" ) # Create and launch a Conda environment named "numpy_env" env = environmentManager . create ( "numpy_env" , { "pip" : […from arthursw.github.io

In the maker’s words, at launch

When building a plugin system for an application, avoiding dependency conflicts is critical. To address this, I created Wetlands – a lightweight Conda environment manager. Wetlands not only simplifies the creation of isolated Conda environments with specific dependencies, but also allows you to run arbitrary Python…

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