diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..87788cd
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,51 @@
+[build-system]
+requires = ["setuptools>=64", "setuptools_scm>=8"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "cortecs"
+
+authors = [
+    {name = "Arjun Savel", email = "asavel@umd.edu"},
+    {name= "Megan Bedell"},
+    {name= "Eliza M.-R. Kempton"},
+]
+description = "Compress opacity for radiative transfer"
+readme = "README.md"
+requires-python = ">=3.8"
+keywords = ["astronomy"]
+license = {text = "MIT"}
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Science/Research",
+    "Natural Language :: English",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Topic :: Scientific/Engineering :: Astronomy",
+]
+dependencies = [
+     "numpy",
+    "jaxlib",
+    "jax",
+    "tqdm",
+    "h5py",
+    "matplotlib",
+    "pandas",
+]
+dynamic = ["version"]
+
+
+
+[project.optional-dependencies]
+neural_networks = ["tensorflow<2.16",
+                "keras"]
+
+[project.urls]
+Homepage = "https://github.com/arjunsavel/cortecs"
+Issues = "https://github.com/arjunsavel/cortecs/issues"
+Documentation = "https://cortecs.readthedocs.io"
diff --git a/setup.py b/setup.py
deleted file mode 100644
index c1410b5..0000000
--- a/setup.py
+++ /dev/null
@@ -1,96 +0,0 @@
-# Inspired by:
-# https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
-
-import codecs
-import os
-import re
-
-from setuptools import find_packages, setup
-
-###################################################################
-
-NAME = "cortecs"
-PACKAGES = find_packages(where="src")
-META_PATH = os.path.join("src", NAME, "__init__.py")
-CLASSIFIERS = [
-    "Development Status :: 4 - Beta",
-    "Intended Audience :: Developers",
-    "Intended Audience :: Science/Research",
-    "Natural Language :: English",
-    "License :: OSI Approved :: MIT License",
-    "Programming Language :: Python",
-    "Programming Language :: Python :: 3.8",
-    "Programming Language :: Python :: 3.9",
-    "Programming Language :: Python :: 3.10",
-    "Programming Language :: Python :: 3.11",
-    "Topic :: Scientific/Engineering :: Astronomy",
-]
-# todo: pin to requirements
-INSTALL_REQUIRES = [
-    "numpy",
-    "jaxlib",
-    "jax",
-    "tqdm",
-    "h5py",
-    "matplotlib",
-    "pandas",
-]
-
-###################################################################
-
-HERE = os.path.abspath(os.path.dirname(__file__))
-
-
-def read(*parts):
-    """
-    Build an absolute path from *parts* and and return the contents of the
-    resulting file.  Assume UTF-8 encoding.
-    """
-    with codecs.open(os.path.join(HERE, *parts), "rb", "utf-8") as f:
-        return f.read()
-
-
-META_FILE = read(META_PATH)
-
-
-def find_meta(meta):
-    """
-    Extract __*meta*__ from META_FILE.
-    """
-    meta_match = re.search(
-        r"^__{meta}__ = ['\"]([^'\"]*)['\"]".format(meta=meta), META_FILE, re.M
-    )
-    if meta_match:
-        return meta_match.group(1)
-    raise RuntimeError("Unable to find __{meta}__ string.".format(meta=meta))
-
-
-if __name__ == "__main__":
-    setup(
-        name=NAME,
-        description=find_meta("description"),
-        license=find_meta("license"),
-        url=find_meta("uri"),
-        version=find_meta("version"),
-        author=find_meta("author"),
-        author_email=find_meta("email"),
-        maintainer=find_meta("author"),
-        maintainer_email=find_meta("email"),
-        package_data={"": ["README.md", "LICENSE"]},
-        long_description=read("README.md"),
-        long_description_content_type="text/markdown",
-        packages=PACKAGES,
-        package_dir={"": "src"},
-        zip_safe=False,
-        python_requires=">3.8.0",
-        classifiers=CLASSIFIERS,
-        include_package_data=True,
-        extras_require={
-            "neural_networks": [
-                "tensorflow<2.16",
-                "keras",
-            ]
-        },
-        install_requires=INSTALL_REQUIRES,
-        options={"bdist_wheel": {"universal": "1"}},
-    )