Wetlands – a lightweight Python library for managing Conda environments
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 code within those environments and retrieve the results. It uses the multiprocessing.connection and pickle modules for inter-process communication. Additionally, one can easily use shared memory between the environments, making data exchange more efficient. Docs:…
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
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 code within those environments and retrieve the results. It uses the multiprocessing.connection and pickle modules for inter-process communication. Additionally, one can easily use shared memory between the environments, making data exchange more efficient. Docs: https://arthursw.github.io/wetlands/latest/ Source: https://github.com/arthursw/wetlands/ I’d really appreciate any feedback. Thanks!
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