scitex-benchmark 0.1.2

Performance benchmarking, runtime monitoring, and profiling helpers — standalone module from the SciTeX ecosystem

scitex-benchmark

Performance benchmarking, runtime monitoring, and profiling helpers extracted from the SciTeX ecosystem as a standalone package.

Install

pip install scitex-benchmark

API

import scitex_benchmark as bm

# Benchmark suite — time/memory across input sizes
suite = bm.BenchmarkSuite("io")
suite.add_benchmark(my_func, gen_input, "name", sizes=["1MB", "10MB"])
results = suite.run()

# Runtime monitor — alerts when CPU/RAM/disk thresholds breached
monitor = bm.RuntimeMonitor(cpu_threshold=80, mem_threshold=90)
with monitor:
    long_running_job()

# Profiler — quick wall-clock + memory snapshot
with bm.Profiler() as p:
    work()
print(p.summary())

Status

Standalone fork of scitex.benchmark. Only dep is psutil. The umbrella package's scitex.benchmark import path is preserved via a sys.modules-alias bridge. Convenience builders inside benchmark.py import scitex.io/scitex.stats lazily if you opt in — without those installed they simply error out at the call site, but the core API works without them.

License

AGPL-3.0-only (see LICENSE).