A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.
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Updated
Dec 31, 2025 - Python
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parallelisation
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MOCA is a Python package to perform efficient and parallelised uncertainty quantification for Life Cycle Assessment (LCA). It is built to work with the Brightway2 framework. Currently, MOCA includes a class for high-speed Monte Carlo Simulation. More methodologies for uncertainty quantification are planned to be implemented going forward.
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Updated
Apr 15, 2026 - Python
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