diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 00000000..d7860ebb
--- /dev/null
+++ b/poetry.lock
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+    {file = "toolz-1.0.0-py3-none-any.whl", hash = "sha256:292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236"},
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+]
+
+[[package]]
+name = "tox"
+version = "4.24.1"
+description = "tox is a generic virtualenv management and test command line tool"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "tox-4.24.1-py3-none-any.whl", hash = "sha256:57ba7df7d199002c6df8c2db9e6484f3de6ca8f42013c083ea2d4d1e5c6bdc75"},
+    {file = "tox-4.24.1.tar.gz", hash = "sha256:083a720adbc6166fff0b7d1df9d154f9d00bfccb9403b8abf6bc0ee435d6a62e"},
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+chardet = ">=5.2"
+colorama = ">=0.4.6"
+filelock = ">=3.16.1"
+packaging = ">=24.2"
+platformdirs = ">=4.3.6"
+pluggy = ">=1.5"
+pyproject-api = ">=1.8"
+tomli = {version = ">=2.1", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=4.12.2", markers = "python_version < \"3.11\""}
+virtualenv = ">=20.27.1"
+
+[package.extras]
+test = ["devpi-process (>=1.0.2)", "pytest (>=8.3.3)", "pytest-mock (>=3.14)"]
+
+[[package]]
+name = "tqdm"
+version = "4.67.1"
+description = "Fast, Extensible Progress Meter"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
+    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
+discord = ["requests"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
+
+[[package]]
+name = "typing-extensions"
+version = "4.12.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev"]
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2025.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+groups = ["main"]
+files = [
+    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
+    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
+]
+
+[[package]]
+name = "virtualenv"
+version = "20.29.2"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "virtualenv-20.29.2-py3-none-any.whl", hash = "sha256:febddfc3d1ea571bdb1dc0f98d7b45d24def7428214d4fb73cc486c9568cce6a"},
+    {file = "virtualenv-20.29.2.tar.gz", hash = "sha256:fdaabebf6d03b5ba83ae0a02cfe96f48a716f4fae556461d180825866f75b728"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+
+[[package]]
+name = "xgboost"
+version = "2.1.4"
+description = "XGBoost Python Package"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "xgboost-2.1.4-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl", hash = "sha256:78d88da184562deff25c820d943420342014dd55e0f4c017cc4563c2148df5ee"},
+    {file = "xgboost-2.1.4-py3-none-macosx_12_0_arm64.whl", hash = "sha256:523db01d4e74b05c61a985028bde88a4dd380eadc97209310621996d7d5d14a7"},
+    {file = "xgboost-2.1.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:57c7e98111aceef4b689d7d2ce738564a1f7fe44237136837a47847b8b33bade"},
+    {file = "xgboost-2.1.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1343a512e634822eab30d300bfc00bf777dc869d881cc74854b42173cfcdb14"},
+    {file = "xgboost-2.1.4-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:d366097d0db047315736f46af852feaa907f6d7371716af741cdce488ae36d20"},
+    {file = "xgboost-2.1.4-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:8df6da72963969ab2bf49a520c3e147b1e15cbeddd3aa0e3e039b3532c739339"},
+    {file = "xgboost-2.1.4-py3-none-win_amd64.whl", hash = "sha256:8bbfe4fedc151b83a52edbf0de945fd94358b09a81998f2945ad330fd5f20cd6"},
+    {file = "xgboost-2.1.4.tar.gz", hash = "sha256:ab84c4bbedd7fae1a26f61e9dd7897421d5b08454b51c6eb072abc1d346d08d7"},
+]
+
+[package.dependencies]
+numpy = "*"
+nvidia-nccl-cu12 = {version = "*", markers = "platform_system == \"Linux\" and platform_machine != \"aarch64\""}
+scipy = "*"
+
+[package.extras]
+dask = ["dask", "distributed", "pandas"]
+datatable = ["datatable"]
+pandas = ["pandas (>=1.2)"]
+plotting = ["graphviz", "matplotlib"]
+pyspark = ["cloudpickle", "pyspark", "scikit-learn"]
+scikit-learn = ["scikit-learn"]
+
+[[package]]
+name = "xgboost-cpu"
+version = "2.1.4"
+description = "XGBoost Python Package"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "xgboost_cpu-2.1.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:f2eb1997a490789a9866abad46179e0a4e1ea01c1673cb5b586b630dc6b18232"},
+    {file = "xgboost_cpu-2.1.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac3281127b2f77f6c62e8699216b0974a1c4a442ee6162eb94256c01df7cd1f5"},
+    {file = "xgboost_cpu-2.1.4-py3-none-win_amd64.whl", hash = "sha256:5bd5017085fcf1756306eadd6548973a8ef05f18ad2eec529f5b54c00843cecf"},
+]
+
+[package.dependencies]
+numpy = "*"
+scipy = "*"
+
+[package.extras]
+dask = ["dask", "distributed", "pandas"]
+datatable = ["datatable"]
+pandas = ["pandas (>=1.2)"]
+plotting = ["graphviz", "matplotlib"]
+pyspark = ["cloudpickle", "pyspark", "scikit-learn"]
+scikit-learn = ["scikit-learn"]
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version <= \"3.11\""
+files = [
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[extras]
+cpu = ["xgboost-cpu"]
+cuda = ["xgboost"]
+nn = ["pytorch"]
+plot = ["matplotlib"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.10.0,<3.13.0"
+content-hash = "fc5fb8b7932b1ca4cc4d119bbe8f0f68718cc4e183c6e33e51438ceaa9ad2589"
diff --git a/py.typed b/py.typed
new file mode 100644
index 00000000..e69de29b
diff --git a/pyproject.toml b/pyproject.toml
index 42772c7d..daafe7ea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,66 @@
-[build-system]
-requires = ["setuptools", "wheel"]
-build-backend = "setuptools.build_meta"
+[project]
+name = "tpot"
+description = "Tree-based Pipeline Optimization Tool"
+license = "GNU/LGPLv3"  # TODO: update this
+version="1.0.0"  # TODO: update this
+# TODO: this doesn't seem to match code comments
+authors = [{ name = "Pedro Ribioro", email = "pedroribeiroh@gmail.com" }]
+readme = "README.md"
+homepage = "https://epistasislab.github.io/tpot/"
+repository="https://github.com/EpistasisLab/tpot2"
+classifiers = [
+    "Intended Audience :: Science/Research",
+    "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
+    "Programming Language :: Python :: 3.10",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence"
+]
+keywords = [
+    "pipeline optimization",
+    "hyperparameter optimization",
+    "data science",
+    "machine learning",
+    "genetic programming",
+    "evolutionary computation"
+]
+requires-python=">=3.10.0,<3.13.0"
+
+dependencies = [
+    "ConfigSpace",
+    "dask",
+    "joblib",
+    "lightgbm",
+    "matplotlib",
+    "networkx",
+    "numpy",
+    "nose",
+    "numpy",
+    "pandas",
+    "pytorch",
+    "scikit-learn",
+    "scipy",
+    "stopit",
+    "tqdm",
+    "traitlets",
+    "xgboost-cpu",
+    "xgboost",
+]
+
+[project.optional-dependencies]
+cpu = ["xgboost-cpu"]
+cuda = ["xgboost"]
+nn = ["pytorch"]
+plot = ["matplotlib"]
+
+[tool.poetry.group.dev]
+optional = true
+[tool.poetry.group.dev.dependencies]
+nose = "*"
+pytest = "*"
+pytest-cov = "*"
+mypy = "*"
+flake8 = "*"
+tox = "*"
+
 
 [tool.pytest.ini_options]
 addopts = "--cov=tpot"
@@ -20,4 +80,4 @@ warn_redundant_casts = true
 warn_return_any = true
 warn_unreachable = true
 warn_unused_configs = true
-no_implicit_reexport = true
\ No newline at end of file
+no_implicit_reexport = true
diff --git a/requirements_dev.txt b/requirements_dev.txt
deleted file mode 100644
index 465e8bb6..00000000
--- a/requirements_dev.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-flake8==6.0.0
-tox==4.4.12
-pytest==7.3.0
-pytest-cov==4.0.0
-mypy==1.2.0
\ No newline at end of file
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index a619924a..00000000
--- a/setup.cfg
+++ /dev/null
@@ -1,13 +0,0 @@
-[options.extras_require]
-testing =
-    pytest>=6.0
-    pytest-cov>=2.0
-    mypy>=0.910
-    flake8>=3.9
-    tox>=3.24
-
-[options.package_data]
-tpot = py.typed
-
-[flake8]
-max-line-length = 120
\ No newline at end of file
diff --git a/setup.py b/setup.py
deleted file mode 100644
index f45f2f92..00000000
--- a/setup.py
+++ /dev/null
@@ -1,64 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-#TODO update this
-from setuptools import setup, find_packages
-
-def calculate_version():
-    initpy = open('tpot/_version.py').read().split('\n')
-    version = list(filter(lambda x: '__version__' in x, initpy))[0].split('\'')[1]
-    return version
-
-
-package_version = calculate_version()
-
-setup(
-    name='TPOT',
-    python_requires='>=3.10, <3.12', #for configspace compatibility
-    version=package_version,
-    author='Pedro Ribeiro',
-    packages=find_packages(),
-    url='https://github.com/EpistasisLab/tpot',
-    license='GNU/LGPLv3', #TODO
-    entry_points={'console_scripts': ['tpot=tpot:main', ]},
-    description=('Tree-based Pipeline Optimization Tool'),
-    long_description='''
-A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
-
-
-''',
-    zip_safe=True,
-    install_requires=['numpy==1.26.4',
-                      'scipy>=1.3.1',
-                      'scikit-learn>=1.4.2,<1.6',
-                      'update_checker>=0.16',
-                      'tqdm>=4.36.1',
-                      'stopit>=1.1.1',
-                      'pandas>=2.2.0',
-                      'joblib>=1.1.1',
-                      'xgboost>=1.7.0',
-                      'matplotlib>=3.6.2',
-                      'traitlets>=5.8.0',
-                      'lightgbm>=3.3.3',
-                      'optuna>=3.0.5',
-                      'networkx>=3.0',
-                      'dask>=2024.4.2',
-                      'distributed>=2024.4.2',
-                      'dask-expr>=1.0.12',
-                      'dask-jobqueue>=0.8.5',
-                      'func_timeout>=4.3.5',
-                      'configspace>=1.1.1',
-                     ],
-    extras_require={
-        'skrebate': ['skrebate>=0.3.4'],
-        'mdr': ['scikit-mdr>=0.4.4'],
-        'sklearnex' : ['scikit-learn-intelex>=2023.2.1'],
-        'amltk' : ['amltk>=1.12.1'],
-    },
-    classifiers=[
-        'Intended Audience :: Science/Research',
-        'License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
-        'Programming Language :: Python :: 3.10',
-        'Topic :: Scientific/Engineering :: Artificial Intelligence'
-    ],
-    keywords=['pipeline optimization', 'hyperparameter optimization', 'data science', 'machine learning', 'genetic programming', 'evolutionary computation'],
-)