All-in-one Toolboxfor Data Engineers
53+ carefully crafted tools for schemas, SQL, files, and pipelines — native macOS, fully offline.
- 53+ carefully crafted data tools
- Native macOS app — fast, beautiful, fully offline
- Parquet, CSV, SQL & schemas — your data never leaves your Mac
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
Trusted by data engineers at startups and enterprises
- dbt
- Snowflake
- Databricks
- BigQuery
- AWS
- PostgreSQL
What data engineers are saying
“I was pasting production Parquet paths into sketchy online converters several times a day. DataEngUtils is constantly open next to my IDE — Parquet Inspector alone paid for the license.”
1 of 6
53+ 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.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
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.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
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.
SELECT
order_id,
customer_id,
created_at
FROM analytics.fct_orders
WHERE created_at >='2026-01-01'
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'
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.
v1.0.0
- Launch — 53+ 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