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Add AudiencePro, statguard, and StreamXL #2

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Add StreamXL to Data Processing section
Mullassery Jun 15, 2026
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Add AudiencePro, statguard, StreamXL — Rust-powered Python libs for M…
Mullassery Jun 16, 2026
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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -51,6 +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.
- [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.

@gemini-code-assist gemini-code-assist Bot Jun 16, 2026

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medium

The use of the em-dash (—) with spaces is inconsistent with the rest of the README.md file, which uses standard hyphens, colons, or prepositions for punctuation. Consider rephrasing to use a preposition like 'supporting' to maintain stylistic consistency across the list.

Suggested change
- [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.
- [statguard](https://github.com/Mullassery/statguard) - Declarative data quality and validation library supporting 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
Expand Down Expand Up @@ -88,6 +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.

@gemini-code-assist gemini-code-assist Bot Jun 16, 2026

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medium

The use of the em-dash (—) with spaces is inconsistent with the rest of the README.md file, which uses standard hyphens, colons, or prepositions for punctuation. Consider rephrasing to use a preposition like 'featuring' to maintain stylistic consistency across the list.

Suggested change
- [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.
- [AudiencePro](https://github.com/Mullassery/AudiencePro) - Python library for customer segmentation featuring 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.
Expand Down