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NumPy engine plugin for array-to-table helpers, analytical workflows, and Tigrbl data integration.

Project description

tigrbl_engine_numpy

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NumPy engine plugin for array-to-table helpers, analytical workflows, and Tigrbl data integration.

PyPI version for tigrbl_engine_numpy Downloads for tigrbl_engine_numpy Discord community for tigrbl_engine_numpy Repository hits for tigrbl_engine_numpy README Apache 2.0 license Python versions 3.10 | 3.11 | 3.12 | 3.13 | 3.14 for tigrbl_engine_numpy Workspace group for tigrbl_engine_numpy

What is tigrbl_engine_numpy?

NumPy engine plugin for array-to-table helpers, analytical workflows, and Tigrbl data integration.

Why use tigrbl_engine_numpy?

Use it when a Tigrbl application needs this backend without installing every engine package.

When should I install tigrbl_engine_numpy?

Install it when the storage, analytics, cache, or integration workload named by this package is the intended runtime backend.

Who is tigrbl_engine_numpy for?

Application developers, data platform engineers, and operators choosing concrete persistence or data-plane behavior.

Where does tigrbl_engine_numpy fit?

tigrbl_engine_numpy lives at pkgs/engines/tigrbl_engine_numpy and serves a focused Tigrbl backend integration.

How does tigrbl_engine_numpy work?

It exposes a tigrbl.engine entry point and a package register() hook so Tigrbl can discover or load the backend at runtime.

Install

uv add tigrbl_engine_numpy
pip install tigrbl_engine_numpy

Surface Coverage

Surface Value
PyPI package tigrbl_engine_numpy
Repository path pkgs/engines/tigrbl_engine_numpy
Python import root tigrbl_engine_numpy
Console scripts none declared
Entry points tigrbl.engine
Optional extras none declared
Legal files LICENSE, NOTICE
Supported Python `3.10

What It Owns

tigrbl_engine_numpy owns the engine plugin boundary. It should be installed when you need this package's focused responsibility without assuming every other Tigrbl workspace package is present.

Implementation orientation:

  • tigrbl_engine_numpy: engine, session

Public API and Import Surface

  • Import roots: tigrbl_engine_numpy.
  • Public symbols: NumpyEngine, NumpySession, numpy_capabilities, numpy_engine, register.
  • Workspace dependencies: tigrbl.
  • External runtime dependencies: numpy>=1.26.

Usage Examples

Verify the installed package

python -m pip show tigrbl_engine_numpy
python - <<'PY'
from importlib.metadata import version
print(version("tigrbl_engine_numpy"))
PY

Register the engine plugin explicitly

from tigrbl_engine_numpy import register

register()

Discover the engine through package metadata

from importlib.metadata import entry_points

for entry_point in entry_points(group="tigrbl.engine"):
    if entry_point.module.startswith("tigrbl_engine_numpy"):
        plugin_register = entry_point.load()
        plugin_register()

Install alongside the facade

uv add tigrbl tigrbl_engine_numpy
pip install tigrbl tigrbl_engine_numpy

How To Choose This Package

Choose tigrbl_engine_numpy when the quick-answer table matches your use case. Choose tigrbl instead when you want the full public facade. Choose a lower-level package such as tigrbl-core, tigrbl-base, or tigrbl-runtime when you are building framework extensions or testing a specific internal boundary.

Related Packages

Documentation Links

Support

Package-local Boundary

This README is the package-local distribution entry point for tigrbl_engine_numpy. It answers install, usage, API, ownership, and certification-orientation questions for this package. Broader architectural decisions, release status, and cross-package proof chains remain in the repository-level docs and SSOT registry.

Certification Status

  • Package status: governed package in the tigrbl/tigrbl workspace.
  • Governance source: SSOT registry.
  • Release evidence: publish workflow validates package builds, tests, GitHub release assets, and PyPI publication for managed packages.
  • Local certification guard: pkgs/core/tigrbl_tests/tests/unit/test_package_badges_and_notices.py verifies every package README keeps the Discord badge, Apache 2.0 badge, explicit Python-version badge, LICENSE, and NOTICE.
  • Scope note: this README documents the package boundary. Runtime feature support remains governed by .ssot/ entities and the conformance docs linked below.

License

Licensed under the Apache License, Version 2.0. See LICENSE, NOTICE, and the official Apache 2.0 license text.

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