diff --git a/README.md b/README.md
index d86b16d..212a86c 100644
--- a/README.md
+++ b/README.md
@@ -90,7 +90,8 @@ the simplicial complexes are, and how homologies are defined:
 
 ## News
 
-* 07/16/2023: `mogutsa` 0.4.2 released.
+* 09/19/2024: `mogutda` 0.4.3 released.
+* 07/16/2024: `mogutsa` 0.4.2 released.
 * 11/23/2023: `mogutda` 0.4.1 released.
 * 08/18/2023: `mogutda` 0.4.0 released.
 * 06/20/2023: `mogutda` 0.3.5 released.
diff --git a/docs/conf.py b/docs/conf.py
index 21c1a59..e6f207c 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -60,7 +60,7 @@
 # The short X.Y version.
 version = u'0.4'
 # The full version, including alpha/beta/rc tags.
-release = u'0.4.2'
+release = u'0.4.3'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/docs/history.rst b/docs/history.rst
index 5b434e4..bf0bc77 100644
--- a/docs/history.rst
+++ b/docs/history.rst
@@ -10,7 +10,7 @@ However, `mogu` is simply a collection of unrelated numerical routines with a lo
 dependencies, but the part of TDA can be quite independent.
 
 In order to provide other researchers and developers an independent package, which is compact (without
-unecessary alternative packages to load), and efficient, I decided to modularize
+unnecessary alternative packages to load), and efficient, I decided to modularize
 the codes of TDA separately, and name this package `mogutda`.
 
 .. _mogu: https://pypi.org/project/mogu/
diff --git a/docs/index.rst b/docs/index.rst
index 09c480c..1fe0384 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -16,7 +16,7 @@ draw some insights from them. A lot of machine learning algorithms deal
 with distances, which are extremely useful, but they miss the
 information the data may carry from their geometry.
 
-`mogutda` runs in Python 3.8, 3.9, 3.10, and 3.11.
+`mogutda` runs in Python 3.8, 3.9, 3.10, 3.11, and 3.12.
 
 Contributors:
 
diff --git a/docs/news.rst b/docs/news.rst
index 24b38c3..a5142df 100644
--- a/docs/news.rst
+++ b/docs/news.rst
@@ -1,7 +1,8 @@
 News
 ====
 
-* 07/16/2023: `mogutsa` 0.4.2 released.
+* 09/19/2024: `mogutda` 0.4.3 released.
+* 07/16/2024: `mogutda` 0.4.2 released.
 * 11/23/2023: `mogutda` 0.4.1 released.
 * 08/18/2023: `mogutda` 0.4.0 released.
 * 06/20/2023: `mogutda` 0.3.5 released.
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..e010846
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,42 @@
+[build-system]
+requires = ["setuptools", "setuptools-scm", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "mogutda"
+version = "0.4.3"
+authors = [
+    {name = "Kwan Yuet Stephen Ho", email = "stephenhky@yahoo.com.hk"}
+]
+description = "Topological Data Analysis in Python"
+readme = {file = "README.md", content-type = "text/markdown"}
+license = {text = "MIT"}
+keywords = ["mogutda", "numerical methods", "topology", "data", "algebraic topology"]
+requires-python = ">=3.8"
+classifiers = [
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Scientific/Engineering :: Physics",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "License :: OSI Approved :: MIT License",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Education",
+    "Intended Audience :: Information Technology",
+    "Intended Audience :: Science/Research"
+]
+dependencies = ["numpy>=1.16.0", "scipy>=1.10.0", "networkx>=2.0", "matplotlib>=3.3.0"]
+
+[project.urls]
+Documentation = "https://mogutda.readthedocs.io"
+Repository = "https://github.com/stephenhky/MoguTDA"
+Issues = "https://github.com/stephenhky/MoguTDA/issues"
+
+[tool.setuptools]
+packages = ["mogutda"]
+zip-safe = false
+
+[project.optional-dependencies]
+test = ["unittest"]
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 972a315..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-numpy>=1.16.0
-scipy>=1.10.0
-networkx>=2.0
-matplotlib>=3.3.0
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 3bb3773..0000000
--- a/setup.py
+++ /dev/null
@@ -1,51 +0,0 @@
-
-from setuptools import setup
-
-
-def readme():
-    with open('README.md', 'r', encoding="utf-8") as f:
-        return f.read()
-
-
-def package_description():
-    text = open('README.md', 'r', encoding="utf-8").read()
-    startpos = text.find('## Introduction')
-    return text[startpos:]
-
-
-def install_requirements():
-    return [
-        package_string.strip()
-        for package_string in open('requirements.txt', 'r', encoding="utf-8")
-    ]
-
-
-setup(name='mogutda',
-      version="0.4.2",
-      description="Topological Data Analysis in Python",
-      long_description=package_description(),
-      long_description_content_type='text/markdown',
-      classifiers=[
-          "Topic :: Scientific/Engineering :: Mathematics",
-          "Topic :: Scientific/Engineering :: Physics",
-          "Programming Language :: Python :: 3.8",
-          "Programming Language :: Python :: 3.9",
-          "Programming Language :: Python :: 3.10",
-          "Programming Language :: Python :: 3.11",
-          "License :: OSI Approved :: MIT License",
-          "Intended Audience :: Developers",
-          "Intended Audience :: Education",
-          "Intended Audience :: Information Technology",
-          "Intended Audience :: Science/Research"
-      ],
-      keywords="mogutda numerics topology data",
-      url="https://github.com/stephenhky/MoguTDA",
-      author="Kwan Yuet Stephen Ho",
-      author_email="stephenhky@yahoo.com.hk",
-      license='MIT',
-      packages=['mogutda',],
-      install_requires=install_requirements(),
-      include_package_data=True,
-      test_suite="test",
-      zip_safe=False)
-