GOESB Runner

The official, reproducible benchmark runner. It loads a signed Benchmark Profile and Benchmark Pack, captures the full hardware/software/model environment, runs the benchmark (batch / streaming / conversation) against a pluggable runtime adapter, computes metrics, and emits a signed, hash-verifiable result.

The runner never executes arbitrary user code (see the security model).

Quick start

pip install -e ".[dev,faster-whisper]"
goesb --help
goesb env          # print captured environment fingerprint
goesb validate profiles/whisper-medium-en-batch/profile.yaml
goesb validate packs/librispeech-en/pack.yaml

# Fetch this pack's audio (not committed to git — FR-3.5) before running
# against it. Reruns are safe with --skip-download.
python ../scripts/fetch_librispeech_subset.py

# Run a batch benchmark end-to-end: environment capture, transcription,
# normalization + WER/CER/RTF/CPU/RAM, a signed+hashed result on disk.
goesb run whisper-medium-en-batch librispeech-en --repeats 2

Pass --model-override tiny (or base) to goesb run for a fast local smoke test instead of downloading the full whisper-medium the profile specifies — results from an override are for pipeline verification only, never comparable to the official profile's numbers.

Schema validation currently requires running from within this monorepo checkout (see oesb_runner.schema_validation); standalone packaging of the schemas is tracked for M2.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.9.26)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for taktx from gravatar.com taktx

Requires

Python >=3.11

Provides Extra

cuda dev faster-whisper mozilla-data-collective vosk whisper-cpp

Report project as malware

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