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pyproject.toml
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89 lines (84 loc) · 2.15 KB
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[project]
name = "healthchain"
version = "0.0.0"
description = "Open source framework for productionizing healthcare AI"
authors = [
{ name = "Jennifer Jiang-Kells", email = "jenniferjiangkells@gmail.com" },
{ name = "Adam Kells", email = "adamjkells93@gmail.com" },
]
requires-python = ">=3.10,<3.14"
readme = "README.md"
license = { text = "Apache-2.0" }
keywords = [
"nlp",
"ai",
"llm",
"healthcare",
"ehr",
"mlops",
"fhir",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Information Technology",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"pydantic>=2.0.0,<2.11.0",
"eval_type_backport>=0.1.0,<0.2",
"pandas>=1.0.0,<3.0.0",
"spacy>=3.0.0,<4.0.0",
"numpy>=1.26.0,<2.4.0",
"colorama>=0.4.6,<0.5",
"faker>=25.1.0,<26",
"termcolor>=2.4.0,<3",
"jinja2>=3.1.3,<4",
"fastapi>=0.115.3,<0.128",
"starlette>=0.40.0,<0.50.0",
"uvicorn>=0.24.0,<0.25",
"httpx>=0.27.0,<0.28",
"lxml>=5.2.2,<6",
"xmltodict>=0.13.0,<0.14",
"fhir-resources>=8.0.0,<9",
"python-liquid>=1.13.0,<2",
"regex!=2019.12.17",
"fastapi-events>=0.12.2,<0.13",
"jwt>=1.3.1,<2",
"pyyaml>=6.0.3,<7",
]
include = [
"healthchain/templates/*",
"healthchain/configs/**/*.yaml",
"healthchain/configs/**/*.liquid",
]
[project.urls]
Homepage = "https://dotimplement.github.io/HealthChain/"
Repository = "https://github.com/dotimplement/HealthChain"
[project.scripts]
healthchain = "healthchain.cli:main"
[dependency-groups]
dev = [
"ruff>=0.4.2,<0.5",
"pytest>=8.2.0,<9",
"pre-commit>=3.5.0,<4",
"pytest-asyncio>=0.24.0,<0.25",
"ipykernel>=6.29.5,<7",
]
docs = [
"mkdocs>=1.6.1,<2",
"mkdocs-material>=9.5.34,<10",
"mkdocstrings>=0.26.0,<0.27",
"mkdocstrings-python>=1.11.1,<2",
]
[tool.uv]
default-groups = [
"dev",
"docs",
]
[build-system]
requires = ["hatchling", "numpy>=2.0.0"]
build-backend = "hatchling.build"