From d4a62e3062cceae25b5a2b3277b11d206af21813 Mon Sep 17 00:00:00 2001
From: Georgi Mammen Mullassery <54147004+Mullassery@users.noreply.github.com>
Date: Mon, 15 Jun 2026 10:02:40 +0530
Subject: [PATCH 1/3] Add StreamXL to Data Processing section

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 6bb6dc8..0288bc6 100644
--- a/README.md
+++ b/README.md
@@ -51,6 +51,7 @@ High-performance data processing and serialization libraries.
 - [polars](https://github.com/pola-rs/polars) - DataFrame library with a Pandas-like API.
 - [pydantic-core](https://github.com/pydantic/pydantic-core) - Core validation logic for Pydantic v2.
 - [rustworkx](https://github.com/Qiskit/rustworkx) - High-performance Python graph library implemented in Rust.
+- [StreamXL](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader for Python powered by Rust. Reads large Excel files row-by-row at constant memory. 4-5x faster than openpyxl.
 - [yaml-rs](https://github.com/lava-sh/yaml-rs) - High-performance YAML v1.2 parser.
 
 ## Development Tools

From 868976c5c4d22a7ea2c6bb72cfd1b7d8f145032f Mon Sep 17 00:00:00 2001
From: Georgi Mammen Mullassery <54147004+Mullassery@users.noreply.github.com>
Date: Tue, 16 Jun 2026 23:43:26 +0530
Subject: [PATCH 2/3] =?UTF-8?q?Add=20AudiencePro,=20statguard,=20StreamXL?=
 =?UTF-8?q?=20=E2=80=94=20Rust-powered=20Python=20libs=20for=20ML,=20data?=
 =?UTF-8?q?=20quality,=20and=20Excel=20streaming?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0288bc6..31de588 100644
--- a/README.md
+++ b/README.md
@@ -51,7 +51,8 @@ High-performance data processing and serialization libraries.
 - [polars](https://github.com/pola-rs/polars) - DataFrame library with a Pandas-like API.
 - [pydantic-core](https://github.com/pydantic/pydantic-core) - Core validation logic for Pydantic v2.
 - [rustworkx](https://github.com/Qiskit/rustworkx) - High-performance Python graph library implemented in Rust.
-- [StreamXL](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader for Python powered by Rust. Reads large Excel files row-by-row at constant memory. 4-5x faster than openpyxl.
+- [statguard](https://github.com/Mullassery/statguard) - Declarative data quality and validation library — schema checks, drift detection (PSI + KS), anomaly detection, and native Delta Lake/Iceberg support. 13–25× faster than pandera and Great Expectations.
+- [StreamXL](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader that processes large Excel files row-by-row at constant memory usage. 4–5× faster than openpyxl with PyO3 bindings.
 - [yaml-rs](https://github.com/lava-sh/yaml-rs) - High-performance YAML v1.2 parser.
 
 ## Development Tools
@@ -89,6 +90,7 @@ Web servers, networking libraries, and cryptographic tools.
 
 Tools for machine learning, NLP, and AI applications.
 
+- [AudiencePro](https://github.com/Mullassery/AudiencePro) - Python library for customer segmentation — RFM analysis, KMeans/K-Prototypes clustering, drift detection, and streaming updates at 10–25× the speed of scikit-learn + pandas.
 - [boxlite](https://github.com/boxlite-ai/boxlite) - Local-first sandbox for AI agents.
 - [chroma](https://github.com/chroma-core/chroma) - Search and retrieval database for AI applications.
 - [monty](https://github.com/pydantic/monty) - Minimal secure Python interpreter for AI workloads.

From d46a3a8238de991784db47f8cc8a9368047ea039 Mon Sep 17 00:00:00 2001
From: Georgi Mammen Mullassery <54147004+Mullassery@users.noreply.github.com>
Date: Sat, 20 Jun 2026 01:49:10 +0530
Subject: [PATCH 3/3] Update AudiencePro to ClusterAudienceKit

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 31de588..a9e4183 100644
--- a/README.md
+++ b/README.md
@@ -90,7 +90,7 @@ Web servers, networking libraries, and cryptographic tools.
 
 Tools for machine learning, NLP, and AI applications.
 
-- [AudiencePro](https://github.com/Mullassery/AudiencePro) - Python library for customer segmentation — RFM analysis, KMeans/K-Prototypes clustering, drift detection, and streaming updates at 10–25× the speed of scikit-learn + pandas.
+- [ClusterAudienceKit](https://github.com/Mullassery/ClusterAudienceKit) - Python library for customer segmentation in Martech pipelines — RFM analysis, clustering, streaming updates, and drift detection in a single pip install.
 - [boxlite](https://github.com/boxlite-ai/boxlite) - Local-first sandbox for AI agents.
 - [chroma](https://github.com/chroma-core/chroma) - Search and retrieval database for AI applications.
 - [monty](https://github.com/pydantic/monty) - Minimal secure Python interpreter for AI workloads.