<h2>Overview</h2>
<p>The Python Spatial Analysis Library (PySAL) is a core library for spatial analysis in Python. It provides essential tools and functionalities for working with spatial data, such as computational geometry, input/output handling, spatial weights, and example datasets. The library is actively developed and welcomes contributions from the community.</p>
<h2>Features</h2>
<ul>
<li>Core library for spatial analysis in Python</li>
<li>Continuous integration for ensuring code quality</li>
<li>Code coverage reporting with codecov</li>
<li>Distributed on PyPI for easy installation</li>
<li>Available on Conda for managing dependencies</li>
<li>Digital Object Identifier (DOI) for reference and citation</li>
<li>Various modules for different spatial analysis tasks, such as computational geometry, input/output handling, and spatial weights</li>
<li>Built-in example datasets for testing and learning</li>
<li>Example notebooks for demonstrating PySAL functionalities</li>
</ul>
<h3>PyPI</h3>
<pre><code class="language-bash">pip install pysal
</code></pre>


Pysal

Libpysal