update related projects page

docs/related.md

@@ -9,21 +9,23 @@ Standardised way of interchanging data between libraries, see
 
 Project which aims to "provide a standard interface that encapsulates implementation details of dataframe libraries. This will allow users and third-party libraries to write code that interacts and operates with a standard dataframe, and not with specific implementations.", see [here](https://data-apis.org/dataframe-api/draft/).
 
+The Narwhals author was originally involved, but left due to irreconcilable differences in vision.
+
 Some notable difference are:
 
 - Narwhals just uses a subset of the Polars API, whereas the dataframe standard introduces a new API
-- Narwhals supports expressions and separates lazy and eager execution
+- Narwhals supports expressions, and separates lazy and eager execution
 - Narwhals is a standalone, independent project, whereas the dataframe standard aims to be upstreamed
   and implemented by major dataframe libraries.
 
-The projects are not in competition and have different goals.
-
 ## Ibis
 
 [Presents itself as a dataframe standard](https://voltrondata.com/resources/open-source-standards), and
 dispatches to 20+ backends. Some differences with Narwhals are:
 
-- Narwhals is ~1000 times lighter and is aimed at library maintainers as opposed to end users
+- Narwhals is aimed at library maintainers, Ibis more to end users
+- Narwhals has zero required dependencies, whereas Ibis requires pandas and PyArrow. For users starting
+  from non-pandas environments, the difference in the relative size increase is ~1000x
 - Narwhals only supports 4 backends, Ibis more than 20
 - Narwhals is focused on fundamental dataframe operations, Ibis on SQL backends