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evodatanor

v0.1.0

Published

Production-level data normalization & validation SDK. No network, no telemetry, highly deterministic.

Readme

EvoDataNor

Production-Level Data Normalization & Validation SDK

EvoDataNor is a high-performance, privacy-first library designed for enterprise banking, fintech, and large-scale SaaS platforms. It provides strict validation and deterministic normalization for critical user data including phone numbers, emails, and Indian financial instruments (PAN, IFSC, Aadhaar).

This SDK operates entirely locally. It contains no telemetry, makes no network requests, and ensures zero data leakage.


Core Principles

  • Zero Trust Architecture: All inputs are validated continuously.
  • Privacy First: No data leaves the execution environment.
  • Deterministic: f(x) always yields y. No side effects.
  • Performance: Optimized O(n) algorithms suitable for high-throughput environments (Node.js, Edge Workers).

Architecture Overview

The SDK follows a strict modular architecture to ensure tree-shakability and clear separation of concerns.

graph TD
    User([User Application]) --> Entry[SDK Entry Point]
    Entry --> Norm[Normalization Module]
    Entry --> Val[Validation Module]
    
    subgraph Norm [Normalization]
        N1[Phone]
        N2[Email]
        N3[Name]
        N4[Financial - PAN/IFSC]
    end
    
    subgraph Val [Validation]
        V1[Regex Engine]
        V2[Verhoeff Algorithm]
        V3[Junk Detection]
    end
    
    Norm --> Output[Clean Data]
    Val --> Boolean[True / False]

Installation

Install via your preferred package manager:

npm install evodatanor
yarn add evodatanor
pnpm add evodatanor

Technical Documentation

Normalization

The normalization module cleans raw input streams into predictable, standard formats.

import { normalize } from "evodatanor";

// Phone Normalization (Handles +91, 0 prefix, whitespace)
const phone = normalize.phone(" +91 98765-43210 "); 
// Result: "9876543210"

// Email Normalization (Trim, Lowercase)
const email = normalize.email(" [email protected] "); 
// Result: "[email protected]"

// Financial Instruments
const pan = normalize.pan(" abcde 1234 f ");
// Result: "ABCDE1234F"

Validation

The validation module applies strict rules to ensure data integrity.

import { validate } from "evodatanor";

// Strict Phone Validation (India)
const isValidPhone = validate.phone("9876543210", "IN");
// Result: true

// Aadhaar Validation (Verhoeff Checksum)
const isValidAadhaar = validate.aadhaar("999999990026");
// Result: true

// Junk / Dummy Data Detection
const isJunk = validate.isDummy("1234567890");
// Result: true

Security & Compliance

EvoDataNor is engineered to support GDPR and DPDP compliance requirements.

  1. No Telemetry: We do not track usage.
  2. No Storage: We do not store input data.
  3. No Network: We do not verify effectively against external databases (e.g. no "penny drop" verification), ensuring no data is shared with third parties.

License

This project is licensed under the MIT License.

Author: Daksha Dubey