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Author:
Nicolas Kalis
Summary:
Verifiable science for humans and AI agents: units, GUM uncertainty, requirements with margins, checks and provenance, as a Python library, a CLI, an MCP server and a node editor.
Latest version:
0.8.1
Required dependencies:
numpy
|
packaging
|
pint
|
pydantic
|
uncertainties
Optional dependencies:
adlfs
|
control
|
fastapi
|
fsspec
|
gcsfs
|
geopandas
|
lightgbm
|
matplotlib
|
noodlelab-engineering
|
noodlelab-geo
|
noodlelab-maths
|
noodlelab-ml
|
noodlelab-science
|
noodlelab-symbolic
|
pandas
|
psutil
|
pyarrow
|
pyogrio
|
pyproj
|
rasterio
|
s3fs
|
salib
|
scikit-learn
|
scipy
|
shapely
|
skops
|
sshfs
|
sympy
|
typst
|
uvicorn
|
xgboost
|
xgboost-cpu
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