parameter-sweep

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

A lightweight Python library for saving simulation results in a standardized, reproducible format.

Loop like a pro, make parameter studies fun.

A toolkit to create, launch and monitor SLURM jobs over existing python scripts.

Utility for facilitating parallel parameter sweeps

Execute shell commands in a parallel and/or distributed way

A Parameter Sweeping Utility Library

Find reproducible qualitative simulation transitions and turn them into pytest regressions.

Modeling when labs comply, evade, or split compute across jurisdictions and what drives each outcome

Run parameter sweeps and Monte Carlo dispersions over GMAT missions in parallel from Python.

run! a parameter sweep and stop rewriting the bookkeeping: finished keys are skipped, a killed run is continued by the next one, and several processes can share one store without computing a key twice. Sequential, threads, Distributed or SLURM behind one entry point. Layer 3 of the ParamIO → DataVault → SweepRunner stack.

Parallel Parameter Studies framework

Lightweight Qt desktop control panel for ANSYS Fluent/PyFluent with UDF build, TUI console, post-processing, and parameter sweep tools.

Read a sweep config TOML and expand it into one DataKey per parameter point — pure parsing and Cartesian enumeration, no IO and no side effects. Layer 1 of the ParamIO → DataVault → SweepRunner stack.

Python-based parallel automation framework for COMSOL Multiphysics simulations using MPh. Features multi-client execution, parameter sweeps, and crash-resumable batching.

Qwen3.6-27B BF16+DFlash 13-config parameter sweep on repne/vllm:v2. Stage A (3x3 buffer/graph) + Stage B (num_speculative_tokens) + Quality (HumanEval/MBPP). 7h, 421 problems, 195 cells.

Offload a CPU-heavy MuJoCo parameter sweep to a single Azure spot VM with hard cost-safety guarantees and cloud-side self-destruct.

Julia orchestrator for reproducible TEMPO/TEMPO2 workflows + pure-Julia adaptive grids

Configuration-driven numerical experiment runner for harmonic measure-related research