Standard Knowledge
Programmatically augmenting CF Standards with IOOS operational knowledge.
# uv run python
import standard_knowledge
library = standard_knowledge.StandardsLibrary()
# Load all CF standards
library.load_cf_standards()
# Apply community knowledge to the standards
library.load_knowledge()
# Get a standard by name or alias
standard = library.get("air_pressure_at_mean_sea_level")
# Xarray compatible attributes for a standard
attrs = standard.attrs()
# find standards by variable names
standards = library.filter().by_variable_name("pressure")
# Notice the `.filter()`? It returns a StandardsFilter object,
# so you can chain multiple filters together.
# by_ioos_category, by_unit, has_qartod_tests
# Search for standards across multiple fields (name, aliases, common variable names, related standards)
under_pressure = library.filter().search("pressure")
Testing
Test with uv run pytest, or ../noxfile.py -s test_python to test against multiple versions.
Building
Run uvx cibuildwheel --platform linux py from the top of the repo to build.
Note: cibuildwheel only uses official builds, so it'll get ornery with Python from other sources (uv, Pixi, Brew).
../noxfile.py -s wheel should run that as well.
Building Pyodide/WASM wheels locally
Pyodide wheels require specific Rust and Pyodide versions due to Emscripten compatibility:
# Install the compatible Rust version
rustup install nightly-2025-01-20
rustup target add wasm32-unknown-emscripten --toolchain nightly-2025-01-20
# Build pyodide wheels with pinned Rust toolchain and Pyodide 0.27.7
RUSTUP_TOOLCHAIN=nightly-2025-01-20 CIBW_BUILD=cp314-pyodide_wasm32 CIBW_PYODIDE_VERSION=314.0.0 uvx cibuildwheel --platform pyodide py
Try using ../noxfile.py -s wheel_wasm which should encapsulate those commands.
Metadata
Release files for standard-knowledge 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 35.7 MB
Release files / standard_knowledge-0.1.1-cp314-cp314t-win_amd64.whl
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