docs: Add project logo.

README.md

@@ -1,10 +1,10 @@
-# Flechette
+# Flechette <a href="https://idl.uw.edu/flechette"><img align="right" src="https://raw.githubusercontent.com/uwdata/flechette/main/docs/assets/logo.svg" height="38"></img></a>
 
 **Flechette** is a JavaScript library for reading and writing the [Apache Arrow](https://arrow.apache.org/) columnar in-memory data format. It provides a faster, lighter, zero-dependency alternative to the [Arrow JS reference implementation](https://github.com/apache/arrow/tree/main/js).
 
 Flechette performs fast extraction and encoding of data columns in the Arrow binary IPC format, supporting ingestion of Arrow data from sources such as [DuckDB](https://duckdb.org/) and Arrow use in JavaScript data analysis tools like [Arquero](https://github.com/uwdata/arquero), [Mosaic](https://github.com/uwdata/mosaic), [Observable Plot](https://observablehq.com/plot/), and [Vega-Lite](https://vega.github.io/vega-lite/).
 
-For documentation, see the [**API Reference**](https://idl.uw.edu/flechette/api).
+For documentation, see the [**API Reference**](https://idl.uw.edu/flechette/api). For code, see the [**Flechette GitHub repo**](https://github.com/uwdata/flechette).
 
 ## Why Flechette?
 

docs/api/column.md

@@ -1,7 +1,7 @@
 ---
 title: Column | API Reference
 ---
-# API Reference
+# Flechette API Reference <a href="https://idl.uw.edu/flechette"><img align="right" src="../assets/logo.svg" height="38"/></a>
 
 [Top-Level](/flechette/api) | [Data Types](data-types) | [Table](table) | [**Column**](column)
 

docs/api/data-types.md

@@ -1,7 +1,7 @@
 ---
 title: Data Types | API Reference
 ---
-# API Reference
+# Flechette API Reference <a href="https://idl.uw.edu/flechette"><img align="right" src="../assets/logo.svg" height="38"/></a>
 
 [Top-Level](/flechette/api) | [**Data Types**](data-types) | [Table](table) | [Column](column)
 

docs/api/index.md

@@ -1,7 +1,7 @@
 ---
 title: API Reference
 ---
-# API Reference
+# Flechette API Reference <a href="https://idl.uw.edu/flechette"><img align="right" src="../assets/logo.svg" height="38"/></a>
 
 [**Top-Level**](/flechette/api) | [Data Types](data-types) | [Table](table) | [Column](column)
 

docs/api/table.md

@@ -1,7 +1,7 @@
 ---
 title: Table | API Reference
 ---
-# API Reference
+# Flechette API Reference <a href="https://idl.uw.edu/flechette"><img align="right" src="../assets/logo.svg" height="38"/></a>
 
 [Top-Level](/flechette/api) | [Data Types](data-types) | [**Table**](table) | [Column](column)
 

docs/index.md

@@ -1,8 +1,10 @@
+# Flechette <a href="https://idl.uw.edu/flechette"><img align="right" src="assets/logo.svg" height="38"/></a>
+
 **Flechette** is a JavaScript library for reading and writing the [Apache Arrow](https://arrow.apache.org/) columnar in-memory data format. It provides a faster, lighter, zero-dependency alternative to the [Arrow JS reference implementation](https://github.com/apache/arrow/tree/main/js).
 
 Flechette performs fast extraction and encoding of data columns in the Arrow binary IPC format, supporting ingestion of Arrow data from sources such as [DuckDB](https://duckdb.org/) and Arrow use in JavaScript data analysis tools like [Arquero](https://github.com/uwdata/arquero), [Mosaic](https://github.com/uwdata/mosaic), [Observable Plot](https://observablehq.com/plot/), and [Vega-Lite](https://vega.github.io/vega-lite/).
 
-For documentation, see the [**API Reference**](api).
+For documentation, see the [**API Reference**](api). For code, see the [**Flechette GitHub repo**](https://github.com/uwdata/flechette).
 
 ## Why Flechette?