# Mungr

Privacy-first data cleaning that runs entirely in your browser via WebAssembly (DuckDB). No uploads. No cloud processing. Your data never leaves your device.

## What Mungr Does

Mungr is a browser-based data cleaning and preparation workbench for CSV, TSV, Excel (.xlsx), TXT, and Parquet files, backed by DuckDB compiled to WebAssembly. It handles data cleaning, data munging, and data wrangling on millions of rows at near-native speed, entirely on your device. The server handles only authentication, recipe storage, and billing. Zero user data is ever transmitted.

## Key Features

- **Zero-upload architecture**: All data processing runs client-side via WebAssembly (DuckDB). Open the browser's Network tab during processing and you'll see zero outbound data requests.
- **Smart Scan**: Auto-detects PII, messy dates, whitespace, mixed casing, high nulls, outliers, and currency symbols across all columns in milliseconds. Generates draft recipe steps for your review. "Automated proposal, manual disposal."
- **19 transform steps**: Trim, change case, split column, regex replace, correct values, standardize dates, convert type, fill nulls, remove empty rows, filter rows, deduplicate, remove columns, rename column, sort, validate rules, custom formula, custom SQL, join tables, mask PII.
- **PII detection & masking**: Auto-detects SSN, email, phone, and credit card columns with HIPAA Safe Harbor references. Mask (partial), redact (full), or hash modes. One-click from the column stats panel.
- **Shareable recipes**: Save transformation logic as JSON. Share via link with team members. Apply recipes to new files with identical structure. Recipe version history on Pro and Enterprise. Zero data travels with recipes.
- **Export as Code**: Export any recipe as a Python/Pandas script, DuckDB SQL, or Shell script. Self-contained, runnable, pipeline-ready, without server involvement.
- **Regex Preset Library**: Pre-built patterns for currency stripping, phone normalization, HTML tag removal, whitespace collapse, ICD-10 code fixing, and more. One-click insertion into Regex Replace steps.
- **HIPAA/GDPR compliant by design**: No data transmission means no BAA needed. No server-side processing. You can verify with browser developer tools.
- **Team collaboration**: Recipes scoped to teams. All members can view, use, and manage shared recipes. Usage stats per member for admins.
- **Before/After preview**: Compare raw vs cleaned data with a visual toggle and column statistics. Paginated data grid supports files with 50,000+ rows.
- **Native Parquet & Excel**: Read columnar Parquet at full speed and Excel workbooks with multi-sheet selection, with no conversion step needed.
- **Works offline**: Once loaded, cleaning continues without a connection.

## Target Users

Data analysts, analytics engineers, healthcare IT staff, financial compliance analysts, legal data operations managers, and startup data engineers who need to clean sensitive data without violating privacy regulations or dealing with expensive or outdated tools.

## Technology

- **Data Engine**: DuckDB-WASM (columnar SQL in the browser), with a Rust/WASM module for fuzzy matching (Jaro-Winkler, Levenshtein) and PII pattern detection.
- **Frontend**: Vue 3 + Inertia.js v3 + Tailwind CSS v4 + shadcn-vue
- **Backend**: Laravel 13 (PHP 8.3)
- **Payments**: Lemon Squeezy (Merchant of Record, covering global tax and chargebacks)
- **Admin Panel**: Filament v5, with dashboard widgets (MRR, user growth, conversion), user management, and a blog CMS

## Pricing

- **Free**: 5 GB total usage, 100 MB per file, 3 saved recipes, all transforms, public recipe sharing
- **Pro** ($29/user/month, $23 yearly): 1 GB per file, unlimited recipes, recipe version history, usage reporting
- **Team/Enterprise** (per-seat): higher processing headroom, shared recipe library, admin roles, unlimited file size on Enterprise

## Links

- https://getmungr.com
- https://getmungr.com/compare
- https://getmungr.com/alternative-to/alteryx-alternative
- https://getmungr.com/alternative-to/winpure-alternative
- https://getmungr.com/alternative-to/openrefine-alternative
- https://getmungr.com/alternative-to/zoho-dataprep-alternative
- https://getmungr.com/alternative-to/talend-alternative
- https://getmungr.com/docs
- https://getmungr.com/blog/data-cleaning-101
- https://getmungr.com/security
- https://getmungr.com/hipaa
- https://getmungr.com/privacy
- https://getmungr.com/blog
- https://getmungr.com/blog/the-best-data-cleaning-tools-2026
- https://getmungr.com/blog/best-free-data-cleaning-tools
- https://getmungr.com/blog/what-is-a-data-cleaning-tool
- https://getmungr.com/blog/clean-large-csv-without-code-or-upload
- https://getmungr.com/blog/data-cleansing-and-normalization
- https://getmungr.com/blog/winpure-clean-match-review
- https://getmungr.com/pricing.md
- https://getmungr.com/ai.txt
- https://getmungr.com/llms-full.txt

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**Informational**: how to clean CSV data, what is data cleaning, data cleaning vs data munging vs data wrangling, how to redact PII from CSV, data preparation best practices, data cleaning best practices, HIPAA de-identification guide
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**Technical**: WebAssembly data cleaning, DuckDB WASM app, client-side ETL tool, export recipe as Python script