DataCleaner-PRO-v2.2.3/pyproject.toml at main · nutmegdev96/DataCleaner-PRO-v2.2.3 · GitHub

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
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "data-cleaner-pro"
version = "0.1.0"
authors = [
    {name = "nutmegdev96"}
]
description = "Professional data cleaning toolkit for everyday use"
readme = "README.md"
license = {text = "MIT"}
keywords = ["data-cleaning", "data-preprocessing", "data-analysis", "python"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Information Analysis",
    "Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
    "pandas>=1.5.0",
    "numpy>=1.21.0",
    "scipy>=1.9.0",
    "scikit-learn>=1.2.0",
]

[project.urls]
Homepage = "https://github.com/nutmegdev96/data-cleaner-pro"
Documentation = "https://github.com/nutmegdev96/data-cleaner-pro#readme"
Repository = "https://github.com/nutmegdev96/data-cleaner-pro"
Issues = "https://github.com/nutmegdev96/data-cleaner-pro/issues"

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "black>=23.0.0",
    "flake8>=6.0.0",
    "jupyter>=1.0.0",
    "ipython>=8.0.0",
]

notebooks = [
    "jupyter>=1.0.0",
    "matplotlib>=3.5.0",
    "seaborn>=0.11.0",
]