ParamFlow – lightweight layered configuration...

What My Project Does I kept running into the same friction in ML projects — managing config files, environment variables, and CLI args separately, writing boilerplate to merge them, and losing track of what parameters ran in which experiment. ParamFlow solves this with a single call: import paramflow as pf params = pf.load('params.toml') print(params.learning_rate) # 0.001 print(params.batch_size) # 64 It merges config files, env vars, and CLI args in a defined order, activates named profiles, a