[DOC] add static content to docs

Author: SimonBlanke

docs/source/_static/css/custom.css

@@ -4,9 +4,8 @@
 About
 =====
 
-.. note::
-
-   This page is under construction. Content will be added in the future.
+Hyperactive is an optimization and data collection toolbox for convenient and fast
+prototyping of computationally expensive models.
 
 .. toctree::
    :maxdepth: 1
@@ -15,7 +14,94 @@ About
    about/history
    about/license
 
+
 About Hyperactive
 -----------------
 
-*Coming soon: Information about the Hyperactive project.*
+Hyperactive provides a unified interface for hyperparameter optimization using
+various gradient-free optimization algorithms. It supports optimization for
+scikit-learn, sktime, skpro, and PyTorch Lightning models, as well as custom
+objective functions.
+
+
+Mission
+^^^^^^^
+
+Hyperactive aims to make hyperparameter optimization accessible and practical for
+machine learning practitioners. By providing a unified API across many optimization
+algorithms and ML frameworks, it reduces the barrier to finding optimal model
+configurations.
+
+
+Key Features
+^^^^^^^^^^^^
+
+- **20+ Optimization Algorithms**: From simple hill climbing to advanced Bayesian
+  optimization, population methods, and Optuna integration.
+
+- **Experiment-Based Architecture**: Clean separation between what to optimize
+  (experiments) and how to optimize (algorithms).
+
+- **Framework Integrations**: First-class support for scikit-learn, sktime, skpro,
+  and PyTorch Lightning.
+
+- **Flexible Search Spaces**: Discrete, continuous, and mixed parameter spaces
+  using familiar NumPy/list syntax.
+
+- **Production Ready**: Battle-tested since 2019 with comprehensive testing and
+  active maintenance.
+
+
+Related Projects
+^^^^^^^^^^^^^^^^
+
+Hyperactive is part of a larger ecosystem:
+
+.. list-table::
+   :header-rows: 1
+   :widths: 30 70
+
+   * - Project
+     - Description
+   * - `Gradient-Free-Optimizers <https://github.com/SimonBlanke/Gradient-Free-Optimizers>`_
+     - Core optimization algorithms used by Hyperactive
+   * - `Search-Data-Collector <https://github.com/SimonBlanke/search-data-collector>`_
+     - Save search data during optimization to CSV files
+   * - `Search-Data-Explorer <https://github.com/SimonBlanke/search-data-explorer>`_
+     - Visualize search data with Plotly in a Streamlit dashboard
+
+
+Sponsorship
+^^^^^^^^^^^
+
+Hyperactive is sponsored by the
+`German Center for Open Source AI (GC.OS) <https://gc-os-ai.github.io/>`_.
+
+.. image:: https://img.shields.io/badge/GC.OS-Sponsored%20Project-orange.svg?style=for-the-badge&colorA=0eac92&colorB=2077b4
+   :target: https://gc-os-ai.github.io/
+   :alt: GC.OS Sponsored
+
+
+Citing Hyperactive
+^^^^^^^^^^^^^^^^^^
+
+If you use Hyperactive in your research, please cite it:
+
+.. code-block:: bibtex
+
+    @Misc{hyperactive2021,
+      author =   {{Simon Blanke}},
+      title =    {{Hyperactive}: An optimization and data collection toolbox
+                  for convenient and fast prototyping of computationally
+                  expensive models.},
+      howpublished = {\url{https://github.com/SimonBlanke}},
+      year = {since 2019}
+    }
+
+
+Community
+^^^^^^^^^
+
+- **GitHub**: `SimonBlanke/Hyperactive <https://github.com/SimonBlanke/Hyperactive>`_
+- **Discord**: `Join the community <https://discord.gg/7uKdHfdcJG>`_
+- **LinkedIn**: `German Center for Open Source AI <https://www.linkedin.com/company/german-center-for-open-source-ai>`_

docs/source/_static/images/bayes_convex.gif

@@ -4,11 +4,109 @@
 History
 =======
 
-.. note::
+This page documents the history and evolution of Hyperactive.
 
-   This page is under construction. Content will be added in the future.
 
 Project History
 ---------------
 
-*Coming soon: The history and evolution of Hyperactive.*
+Hyperactive was created in 2018 by Simon Blanke to address the need for a flexible,
+unified interface for hyperparameter optimization in machine learning workflows.
+
+
+Timeline
+^^^^^^^^
+
+**2018 - Project Creation**
+    Hyperactive was first released as an open-source project, providing a collection
+    of gradient-free optimization algorithms accessible through a simple Python API.
+
+**2019 - Growing Adoption**
+    The project gained traction in the machine learning community, with users
+    appreciating its straightforward interface and variety of optimization algorithms.
+
+**2020-2021 - Ecosystem Expansion**
+    Related projects were developed to complement Hyperactive:
+
+    - **Gradient-Free-Optimizers**: The optimization backend was extracted into its
+      own package, allowing for more modular development.
+    - **Search-Data-Collector**: Tools for saving optimization results.
+    - **Search-Data-Explorer**: Visualization dashboard for exploring search data.
+
+**2022-2023 - Continued Development**
+    Active maintenance continued with bug fixes, new algorithms, and improved
+    documentation. The user base continued to grow.
+
+**2024 - Version 5.0 Redesign**
+    Major architecture redesign introducing:
+
+    - **Experiment-based architecture**: Clean separation between optimization
+      problems (experiments) and optimization algorithms (optimizers).
+    - **Enhanced integrations**: Improved support for scikit-learn, sktime, skpro,
+      and PyTorch Lightning.
+    - **Optuna backend**: Integration with Optuna's optimization algorithms.
+    - **Modern Python support**: Support for Python 3.10 through 3.14.
+
+**2024 - GC.OS Sponsorship**
+    Hyperactive became a sponsored project of the German Center for Open Source AI
+    (GC.OS), ensuring continued development and maintenance.
+
+
+Version History
+---------------
+
+Major Versions
+^^^^^^^^^^^^^^
+
+.. list-table::
+   :header-rows: 1
+   :widths: 15 85
+
+   * - Version
+     - Highlights
+   * - v5.0
+     - Experiment-based architecture, Optuna integration, modern Python support
+   * - v4.x
+     - Improved API stability, additional optimizers
+   * - v3.x
+     - Search data collection features, expanded algorithm library
+   * - v2.x
+     - Multi-processing support, warm starting
+   * - v1.x
+     - Initial public release with core optimization algorithms
+
+
+Breaking Changes
+^^^^^^^^^^^^^^^^
+
+Major version updates (e.g., v4 → v5) may include breaking API changes.
+If you're upgrading from an older version:
+
+1. Check the `GitHub releases <https://github.com/SimonBlanke/Hyperactive/releases>`_
+   for migration guides.
+2. Update your code to use the new API patterns.
+3. Alternatively, pin your version to continue using the old API.
+
+.. code-block:: bash
+
+    # Upgrade to latest
+    pip install hyperactive --upgrade
+
+    # Or pin to specific version
+    pip install hyperactive==4.x.x
+
+
+Future Roadmap
+--------------
+
+Hyperactive continues to evolve. Planned improvements include:
+
+- Additional optimization algorithms
+- Enhanced visualization tools
+- Improved distributed computing support
+- More framework integrations
+- Performance optimizations
+
+For the latest roadmap, see the
+`GitHub Issues <https://github.com/SimonBlanke/Hyperactive/issues>`_ and
+`Discussions <https://github.com/SimonBlanke/Hyperactive/discussions>`_.

docs/source/_static/images/logo.png

@@ -4,11 +4,96 @@
 License
 =======
 
-.. note::
+Hyperactive is open-source software released under the MIT License.
 
-   This page is under construction. Content will be added in the future.
 
 MIT License
 -----------
 
-*Coming soon: Full text of the MIT License.*
+.. code-block:: text
+
+    MIT License
+
+    Copyright (c) 2018 Simon Blanke
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE.
+
+
+What This Means
+---------------
+
+The MIT License is a permissive open-source license that allows you to:
+
+**You Can:**
+
+- Use Hyperactive for commercial projects
+- Modify the source code
+- Distribute copies
+- Use it in private projects
+- Sublicense the code
+
+**Requirements:**
+
+- Include the copyright notice and license text in any copies or substantial
+  portions of the software
+
+**Limitations:**
+
+- The software is provided "as is" without warranty
+- The authors are not liable for any damages
+
+
+Third-Party Licenses
+--------------------
+
+Hyperactive depends on several third-party packages, each with their own licenses:
+
+.. list-table::
+   :header-rows: 1
+   :widths: 30 30 40
+
+   * - Package
+     - License
+     - Purpose
+   * - NumPy
+     - BSD-3-Clause
+     - Numerical operations
+   * - pandas
+     - BSD-3-Clause
+     - Data manipulation
+   * - scikit-learn
+     - BSD-3-Clause
+     - Machine learning integration
+   * - Gradient-Free-Optimizers
+     - MIT
+     - Core optimization algorithms
+   * - tqdm
+     - MIT/MPL-2.0
+     - Progress bars
+
+All dependencies use permissive open-source licenses compatible with commercial use.
+
+
+Questions
+---------
+
+For questions about licensing or usage rights, please contact:
+
+- **Email**: simon.blanke@yahoo.com
+- **GitHub Issues**: `Report an issue <https://github.com/SimonBlanke/Hyperactive/issues>`_