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  "schema_version": 2,
  "command": "python benchmarks/bench_vs_talib.py --sizes 10000 100000 --json benchmarks/artifacts/latest/benchmark_vs_talib.json",
  "n_warmup": 1,
  "n_runs": 7,
  "sizes": [
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  "talib_available": true,
  "runtime": {
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    "python_implementation": "CPython",
    "python_executable": "/Users/pratikbhadane/Work/Projects/ferro-ta/.venv/bin/python3",
    "platform": "macOS-26.3.1-arm64-arm-64bit-Mach-O",
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    "release": "25.3.0",
    "machine": "arm64",
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    "cpu_model": "Apple M3 Max",
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    "commit": "0382c4e3024c96809ffd89dd76d820efcd56479d",
    "dirty": true,
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      "total_memory_bytes": 38654705664
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    "git": {
      "commit": "0382c4e3024c96809ffd89dd76d820efcd56479d",
      "dirty": true,
      "branch": "main"
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      "cargo": "cargo 1.91.1 (Homebrew)",
      "cargo_release_profile": {
        "lto": true,
        "codegen-units": 1
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      "cargo_build_rustflags": null,
      "maturin_flags": null
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      "TA-Lib": "0.6.8"
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      "sizes": [
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      "dtype": "float64",
      "array_layout": "C-contiguous",
      "seed": 42
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      "speedup_definition": "talib_median_ms / ferro_ta_median_ms",
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      "input_layout_notes": "Benchmarks use contiguous float64 arrays. If your workload passes non-contiguous arrays or other dtypes, benchmark that separately because wrapper overhead can dominate.",
      "allocation_notes": "python_peak_allocation_bytes is a tracemalloc snapshot of Python-tracked allocations only; it is not a full native RSS or allocator profile."
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