All-in-one Toolboxfor Data Engineers
DataEngUtils is the all-in-one toolbox for data engineers — 20+ carefully crafted tools for schemas, SQL, files, and pipelines on native macOS, fully offline.
- 20+ carefully crafted data tools
- Native macOS app — fast, beautiful, fully offline
- Parquet, CSV, SQL & schemas — your data never leaves your Mac
Trusted by data engineers using our all-in-one toolbox at startups and enterprises
- dbt
- Snowflake
- Databricks
- BigQuery
- AWS
- PostgreSQL
20+ tools built for data work
Format SQL, validate dbt YAML, convert JSON to DDL, inspect Parquet row groups, parse cron schedules, debug JWTs, generate test data — all in one searchable sidebar. Fully customizable layout.
Work offline. Keep your data private.
Stop uploading production CSVs, Parquet files, and connection strings to random websites full of ads and trackers. DataEngUtils runs entirely on your Mac. No cloud. No account required to use tools.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
Smart clipboard detection
Paste from your pipeline logs and DataEngUtils opens the right tool automatically.
0 9 * * 1-5→ Cron Expression Parser{"id": 1, "name": "orders"}→ JSON Formatterpostgres://user:pass@host:5432/db→ Connection String ParserPAR1… / base64 blob→ Parquet Inspector
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
Native file tools for Parquet & CSV
Convert, merge, and inspect multi-gigabyte files without loading them into memory. CSV → Parquet, Parquet → CSV, and Merge CSVs → Parquet — powered by Polars in Rust, not a browser tab.
Converters & parsers
JSON ↔ YAML, JSON → CREATE TABLE (Postgres, BigQuery, Snowflake), Unix timestamps, Avro schemas, number bases, and more.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
Inspectors & debuggers
Parquet Inspector, JWT Debugger, Regex Tester, Connection String Parser, SQL Query Explainer, Text Diff — fast UI, instant results.
Generators
UUIDs, ULIDs, Snowflake IDs, faker-based test data, mock SQL INSERTs, hashes — bulk generation when you need volume.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
The little details
Handcrafted native UI · Sidebar search · Code syntax highlighting · Light & dark theme · Organize tools into groups
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
What's in the box?
20+data engineering tools you'll use every week.
Format & Validate (11)
- JSON Formatter
- JSON Validator
- YAML Formatter
- SQL Formatter
- dbt YAML Validator
- XML Formatter
- CSV Validator
- JSON Schema Validator
- TOML Formatter
- Avro Schema Validator
- Markdown Formatter
Converters (16)
- JSON to YAML
- YAML to JSON
- JSON to CREATE TABLE
- CSV to Parquet
- Parquet to CSV
- Merge CSVs to Parquet
- Unix Timestamp Converter
- JSON to CSV
- CSV to JSON
- Base Converter
- Avro to JSON
- JSON to Avro
- SQL to MongoDB
- HTML to Markdown
- Markdown to HTML
- Cron to English
Inspectors (12)
- Parquet Inspector
- JWT Debugger
- Regex Tester
- Connection String Parser
- SQL Query Explainer
- Text Diff
- Cron Expression Parser
- JSON Path Tester
- Hash Identifier
- UUID Inspector
- XML Inspector
- Log Parser
Generators (9)
- UUID Generator
- ULID Generator
- Snowflake ID Generator
- Faker Data Generator
- Mock SQL INSERT
- Hash Generator
- Password Generator
- Lorem Ipsum Generator
- API Key Generator
Encoders (5)
- Base64 Encode/Decode
- URL Encode/Decode
- HTML Entity Encode/Decode
- JWT Encoder
- Gzip Base64
Integrations(v1.1)
Launch tools from Terminal, Raycast, or Alfred without leaving your flow.
Use DataEngUtils today
…and never paste pipeline secrets into a browser tab again.
Frequently asked questions
How do I activate my license?
Can I use my license offline?
What is your refund policy?
What is the difference between Personal and Team?
I lost my license key. How do I get it back?
Can I use my license on multiple Macs?
v1.0.0
- Launch — 20+ data engineering tools in a native macOS sidebar
- Offline Parquet, CSV, and SQL file tools powered by Polars
- Smart clipboard detection for cron, JSON, and connection strings
- Universal binary for Apple Silicon and Intel (macOS 13+)
- Fully offline after license activation — your data never leaves your Mac