doc: improve README and index

Author: juba

README.md

@@ -6,7 +6,7 @@
 [![Documentation](https://github.com/juba/pyobsplot/actions/workflows/publish.yml/badge.svg)](https://github.com/juba/pyobsplot/actions/workflows/publish.yml)
 [![Open In Colab](https://github.com/juba/pyobsplot/raw/main/doc/img/colab-badge.svg)](https://colab.research.google.com/github/juba/pyobsplot/blob/main/examples/introduction.ipynb)
 
-`pyobsplot` allows to use [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot) to create charts in [Jupyter](https://jupyter.org) notebooks, [VSCode](https://code.visualstudio.com) notebooks, [Google Colab](https://colab.research.google.com) and [Quarto](https://quarto.org) documents. Plots are created from Python code with a syntax as close as possible to the JavaScript one.
+`pyobsplot` allows to use [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot) to create charts in [Jupyter](https://jupyter.org) or [Marimo](https://marimo.io) notebooks and [Quarto](https://quarto.org) documents. Plots are created from Python code with a syntax as close as possible to the JavaScript one.
 
 It allows to do things like :
 
@@ -42,7 +42,7 @@ Plot.plot({
 pip install pyobsplot[typst]
 ```
 
-To use `pyobsplot` in [jupyter lite](https://jupyter.org/try-jupyter/lab/) or [marimo](https://marimo.io) you must install it without the `typst` dependency, which is not yet compatible with [pyodide](https://pyodide.org/en/stable/):
+To use `pyobsplot` in [JupyterLite](https://jupyter.org/try-jupyter/lab/) or [marimo](https://marimo.io) you must install it without the `typst` dependency, which is not yet compatible with [pyodide](https://pyodide.org/en/stable/):
 
 ```sh
 pip install pyobsplot
@@ -66,7 +66,7 @@ If you just want to try this package without installing it on your computer, you
 -   Plots can be generated as Jupyter widgets, or as SVG, HTML or PNG outputs (via typst)
 -   Plots can be saved to Widget HTML, static HTML, SVG, PNG or PDF files
 -   [Pandas](https://pandas.pydata.org) and [polars](https://pola.rs) DataFrame and Series objects are serialized using [Arrow](https://arrow.apache.org) IPC format for improved speed and better data type conversions
--   Works with Jupyter notebooks, Quarto documents (all renderers), Jupyter lite and Marimo notebooks (widget renderer only)
+-   Works with Jupyter, JupyterLite and Marimo notebooks as well as in Quarto documents
 -   Works offline, no iframe or dependency to Observable runtime
 -   Caching mechanism of data objects if they are used several times in the same plot
 -   Custom JavaScript code can be passed as strings with the `js` method

doc/index.qmd

@@ -5,7 +5,7 @@ title: "pyobsplot"
 
 ## Overview
 
-`pyobsplot` allows to use [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot) to create charts in [Jupyter](https://jupyter.org) notebooks, [VSCode](https://code.visualstudio.com) notebooks, [Google Colab](https://colab.research.google.com) and [Quarto](https://quarto.org) documents. Plots are created from Python code with a syntax as close as possible to the JavaScript one.
+`pyobsplot` allows to use [Observable Plot](https://observablehq.com/@observablehq/plot?collection=@observablehq/plot) to create charts in [Jupyter](https://jupyter.org) or [Marimo](https://marimo.io) notebooks and [Quarto](https://quarto.org) documents. Plots are created from Python code with a syntax as close as possible to the JavaScript one.
 
 
 ```{python}
@@ -83,7 +83,7 @@ If you just want to try this package without installing it on your computer, you
 - Plots can be generated as Jupyter widgets, or as SVG, HTML or PNG outputs (via typst)
 - Plots can be saved to Widget HTML, static HTML, SVG, PNG or PDF files
 - [Pandas](https://pandas.pydata.org) and [polars](https://pola.rs) DataFrame and Series objects are serialized using [Arrow](https://arrow.apache.org) IPC format for improved speed and better data type conversions
-- Works with Jupyter notebooks, Quarto documents (all renderers), Jupyter lite and Marimo notebooks (widget renderer only)
+- Works with Jupyter, JupyterLite and Marimo notebooks as well as in Quarto documents
 - Works offline, no iframe or dependency to Observable runtime
 - Caching mechanism of data objects if they are used several times in the same plot
 - Custom JavaScript code can be passed as strings with the `js` method