forked from mlflow/mlflow
-
Notifications
You must be signed in to change notification settings - Fork 0
/
pyproject.release.toml
136 lines (126 loc) · 3.46 KB
/
pyproject.release.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[project]
name = "mlflow"
version = "2.14.2.dev0"
description = "MLflow is an open source platform for the complete machine learning lifecycle"
readme = "README.rst"
keywords = ["mlflow", "ai", "databricks"]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"Intended Audience :: Information Technology",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
]
requires-python = ">=3.8"
dependencies = [
"mlflow-skinny==2.14.2.dev0",
"Flask<4",
"Jinja2<4,>=2.11; platform_system != 'Windows'",
"Jinja2<4,>=3.0; platform_system == 'Windows'",
"alembic<2,!=1.10.0",
"docker<8,>=4.0.0",
"graphene<4",
"gunicorn<23; platform_system != 'Windows'",
"markdown<4,>=3.3",
"matplotlib<4",
"numpy<2",
"pandas<3",
"pyarrow<16,>=4.0.0",
"querystring_parser<2",
"scikit-learn<2",
"scipy<2",
"sqlalchemy<3,>=1.4.0",
"waitress<4; platform_system == 'Windows'",
]
[[project.maintainers]]
name = "Databricks"
email = "[email protected]"
[project.license]
file = "LICENSE.txt"
[project.optional-dependencies]
extras = [
"pyarrow",
"requests-auth-aws-sigv4",
"boto3",
"botocore",
"google-cloud-storage>=1.30.0",
"azureml-core>=1.2.0",
"pysftp",
"kubernetes",
"mlserver>=1.2.0,!=1.3.1,<1.4.0",
"mlserver-mlflow>=1.2.0,!=1.3.1,<1.4.0",
"virtualenv",
"prometheus-flask-exporter",
]
databricks = [
"azure-storage-file-datalake>12",
"google-cloud-storage>=1.30.0",
"boto3>1",
"botocore",
]
gateway = [
"pydantic<3,>=1.0",
"fastapi<1",
"uvicorn[standard]<1",
"watchfiles<1",
"aiohttp<4",
"boto3<2,>=1.28.56",
"tiktoken<1",
"slowapi<1,>=0.1.9",
]
genai = [
"pydantic<3,>=1.0",
"fastapi<1",
"uvicorn[standard]<1",
"watchfiles<1",
"aiohttp<4",
"boto3<2,>=1.28.56",
"tiktoken<1",
"slowapi<1,>=0.1.9",
]
sqlserver = ["mlflow-dbstore"]
aliyun-oss = ["aliyunstoreplugin"]
xethub = ["mlflow-xethub"]
jfrog = ["mlflow-jfrog-plugin"]
langchain = ["langchain>=0.1.0,<=0.2.5"]
[project.urls]
homepage = "https://mlflow.org"
issues = "https://github.com/mlflow/mlflow/issues"
documentation = "https://mlflow.org/docs/latest/index.html"
repository = "https://github.com/mlflow/mlflow"
[project.scripts]
mlflow = "mlflow.cli:cli"
[project.entry-points."mlflow.app"]
basic-auth = "mlflow.server.auth:create_app"
[project.entry-points."mlflow.app.client"]
basic-auth = "mlflow.server.auth.client:AuthServiceClient"
[project.entry-points."mlflow.deployments"]
databricks = "mlflow.deployments.databricks"
http = "mlflow.deployments.mlflow"
https = "mlflow.deployments.mlflow"
openai = "mlflow.deployments.openai"
[tool.setuptools.package-data]
mlflow = [
"store/db_migrations/alembic.ini",
"temporary_db_migrations_for_pre_1_users/alembic.ini",
"pypi_package_index.json",
"pyspark/ml/log_model_allowlist.txt",
"server/auth/basic_auth.ini",
"server/auth/db/migrations/alembic.ini",
"recipes/resources/**/*",
"recipes/cards/templates/**/*",
"models/container/**/*",
"server/js/build/**/*",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["mlflow", "mlflow.*"]
exclude = ["tests", "tests.*"]