added key features to docs too

docs/build/html/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 55a30d648e3049f9ab8d434cab2865e4
+config: 96c48b6151ba5bea7cf22ebe6f016073
 tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/build/html/_sources/index.rst.txt

@@ -8,15 +8,17 @@ day-to-day analyses, research applications, as well as the development and valid
 
 Key features
 -----------------
-- Extensible, loosely coupled and fully open-source
-- End-to-end workflow support
-- Comprehensive toolbox of data loading, preprocessing, analysis and visualisation tools
-- Broad data compatibility
-- Data- and application-agnostic processes
-- Effortless preprocessing pipelining
-- Library of established preprocessing protocols
-- Smooth integration with frameworks for data science, statistical modelling and ML, and deep learning
-- Diverse datasets and metrics for benchmarking and validation
+- Common data format
+- Data loaders
+- Preprocessing methods
+- Preprocessing pipelining
+- Preprocessing protocols
+- Analysis methods
+- Visualisation tools
+- AI integration
+- Datasets
+- Metrics
+- Synthetic data generator
 
 |
 

docs/build/html/index.html

@@ -269,15 +269,17 @@ <h1><cite>RamanSPy</cite><a class="headerlink" href="#ramanspy" title="Link to t
 <section id="key-features">
 <h2>Key features<a class="headerlink" href="#key-features" title="Link to this heading"></a></h2>
 <ul class="simple">
-<li><p>Extensible, loosely coupled and fully open-source</p></li>
-<li><p>End-to-end workflow support</p></li>
-<li><p>Comprehensive toolbox of data loading, preprocessing, analysis and visualisation tools</p></li>
-<li><p>Broad data compatibility</p></li>
-<li><p>Data- and application-agnostic processes</p></li>
-<li><p>Effortless preprocessing pipelining</p></li>
-<li><p>Library of established preprocessing protocols</p></li>
-<li><p>Smooth integration with frameworks for data science, statistical modelling and ML, and deep learning</p></li>
-<li><p>Diverse datasets and metrics for benchmarking and validation</p></li>
+<li><p>Common data format</p></li>
+<li><p>Data loaders</p></li>
+<li><p>Preprocessing methods</p></li>
+<li><p>Preprocessing pipelining</p></li>
+<li><p>Preprocessing protocols</p></li>
+<li><p>Analysis methods</p></li>
+<li><p>Visualisation tools</p></li>
+<li><p>AI integration</p></li>
+<li><p>Datasets</p></li>
+<li><p>Metrics</p></li>
+<li><p>Synthetic data generator</p></li>
 </ul>
 <div class="line-block">
 <div class="line"><br /></div>

docs/source/index.rst

@@ -8,15 +8,17 @@ day-to-day analyses, research applications, as well as the development and valid
 
 Key features
 -----------------
-- Extensible, loosely coupled and fully open-source
-- End-to-end workflow support
-- Comprehensive toolbox of data loading, preprocessing, analysis and visualisation tools
-- Broad data compatibility
-- Data- and application-agnostic processes
-- Effortless preprocessing pipelining
-- Library of established preprocessing protocols
-- Smooth integration with frameworks for data science, statistical modelling and ML, and deep learning
-- Diverse datasets and metrics for benchmarking and validation
+- Common data format
+- Data loaders
+- Preprocessing methods
+- Preprocessing pipelining
+- Preprocessing protocols
+- Analysis methods
+- Visualisation tools
+- AI integration
+- Datasets
+- Metrics
+- Synthetic data generator
 
 |