Arnio Data Clean
C++20 Accelerated DataFrame Profiling, Validation & Automated Schema Sanitization
The Enterprise Problem & Core Constraints
Modern data engineering pipelines spend up to 70% of cloud execution time executing repetitive data sanitation, regex format verification, null value imputation, and schema alignment in interpreted Python. On 10M+ row enterprise datasets, Pandas bottlenecks pipeline runtimes and causes frequent OOM container crashes.
AxonFlow AI engineered Arnio: an open-source, C++20 SIMD-vectorized data profiling engine with seamless Python pybind11 bindings. Arnio executes parallel column-wise anomaly scanning, type inference, and automated schema cleaning at native CPU cache speeds, with an interactive web playground for instant validation.
Quantified Business ROI
Earned over 208 stars on GitHub within 90 days. Reduced cloud ETL compute costs for early enterprise pilot users by 58%, while cutting daily data pipeline execution times from 42 minutes down to under 3 minutes.
Multi-Tier Production Architecture
SIMD Vectorized Engine
C++20 kernel utilizing AVX2 / AVX-512 CPU instructions to vectorize string scanning, whitespace trimming, and numerical outlier detection across memory blocks.
Zero-Copy Memory Handshake
Interfaces directly with Apache Arrow and Python buffer protocols, eliminating expensive serialization copies between C++ and Python address spaces.
Automated Schema Repair
Deterministic type inference engine detecting mixed-type columns, ISO-8601 date anomalies, and phone/email formatting errors with automatic corrective transformations.
Interactive Web Playground
Browser-based WebAssembly build allowing prospective enterprise data teams to drag-and-drop CSV/Parquet files and test profiling speeds instantly.
Enterprise Technical Specifications
Live Production Application Preview
Need a Custom System Built with This Architecture?
AxonFlow AI takes enterprise software from initial architectural scoping to live production deployment with guaranteed uptime SLAs and complete code ownership.