sciforge.repro

Reproducibility Dashboard

Score your experiment codebase for deterministic execution and portability.

Drop a .py or .ipynb file

Or click to select from your project

78

B — Good

4 files analyzed · 3 findings

Python API

import sciforge as sf

# Score a directory
report = sf.repro.score("exp/")

# Or a single file
report = sf.repro.score("train.py")

print(report.summary())
print(f"Score: {report.score}/100")
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