(sedona-db) branch branch-0.3.0 updated: docs: Add PyPI download statistics badges to README and docs homepage (#723)

[jiayu]

This is an automated email from the ASF dual-hosted git repository.

jiayu pushed a commit to branch branch-0.3.0
in repository https://gitbox.apache.org/repos/asf/sedona-db.git


The following commit(s) were added to refs/heads/branch-0.3.0 by this push:
     new ab9ebe54 docs: Add PyPI download statistics badges to README and docs 
homepage (#723)
ab9ebe54 is described below

commit ab9ebe54f1eed3b46570d7a1d91ea2ee4e9a3d3d
Author: Jia Yu <ji...@wherobots.com>
AuthorDate: Tue Mar 17 00:34:28 2026 -0700

    docs: Add PyPI download statistics badges to README and docs homepage (#723)
---
 README.md     | 3 +++
 docs/index.md | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/README.md b/README.md
index 7c458918..83714c66 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,8 @@
 
 # SedonaDB
 
+[![PyPI 
Version](https://img.shields.io/pypi/v/sedonadb)](https://pypi.org/project/sedonadb/)
 [![PyPI - 
Downloads](https://img.shields.io/pypi/dm/sedonadb)](https://pepy.tech/project/sedonadb)
 
[![Downloads](https://static.pepy.tech/personalized-badge/sedonadb?period=total&units=international_system&left_color=black&right_color=brightgreen&left_text=total%20downloads)](https://pepy.tech/project/sedonadb)
+
 SedonaDB is an open-source single-node analytical database engine with 
**geospatial as a first-class citizen**. It aims to deliver the fastest spatial 
analytics query speed and the most comprehensive function coverage available.
 
 SedonaDB is perfect for processing smaller to medium datasets on local 
machines or cloud instances. For distributed workloads, you can leverage the 
power of SedonaSpark, SedonaFlink, or SedonaSnow.
@@ -36,6 +38,7 @@ SedonaDB is perfect for processing smaller to medium datasets 
on local machines
 * **Spatial query optimization**
     * Spatial-aware heuristic based optimization
     * Spatial-aware cost based optimization
+    * Automatic disk spilling for large-scale spatial joins
 
 * **Spatial query processing**
     * Spatial range query, KNN query, spatial join query, KNN join query
diff --git a/docs/index.md b/docs/index.md
index 8dbac2c5..203b84d3 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -22,6 +22,8 @@ title: Introducing SedonaDB
   under the License.
 -->
 
+[![PyPI 
Version](https://img.shields.io/pypi/v/sedonadb)](https://pypi.org/project/sedonadb/)
 [![PyPI - 
Downloads](https://img.shields.io/pypi/dm/sedonadb)](https://pepy.tech/project/sedonadb)
 
[![Downloads](https://static.pepy.tech/personalized-badge/sedonadb?period=total&units=international_system&left_color=black&right_color=brightgreen&left_text=total%20downloads)](https://pepy.tech/project/sedonadb)
+
 SedonaDB is an open-source single-node analytical database engine with 
**geospatial as a first-class citizen**. It aims to deliver the fastest spatial 
analytics query speed and the most comprehensive function coverage available.
 
 SedonaDB is perfect for processing smaller to medium datasets on local 
machines or cloud instances. For distributed workloads, you can leverage the 
power of SedonaSpark, SedonaFlink, or SedonaSnow.
@@ -39,6 +41,7 @@ SedonaDB is perfect for processing smaller to medium datasets 
on local machines
 * **Spatial query optimization**
     * Spatial-aware heuristic based optimization
     * Spatial-aware cost based optimization
+    * Automatic disk spilling for large-scale spatial joins
 
 * **Spatial query processing**
     * Spatial range query, KNN query, spatial join query, KNN join query