Developer tools for data and QA engineers
Compare exports, reconcile datasets, clean messy CSVs and prepare test data — locally, so customer data never leaves your machine.
Run the CSV Cleaner workflow → Browse data & QA tools →
Common daily tasks
- Compare two CSV exports by key
- Find rows added/removed/changed
- Dedupe and clean a list
- Convert a CSV export to JSON
- Build a SQL IN clause from a column
- Reconcile QA vs prod data
Recommended workflows
- CSV Cleaner to JSON — clean a CSV and export JSON.
- CSV to JSON Secret Scan — convert CSV to JSON and scan for leaked secrets.
- CSV Fingerprint — normalize a CSV and hash it to detect drift.
- CSV to SQL IN — clean a CSV column then build a SQL IN clause.
Top tools for data and QA engineers
CSV Join & Compare
Compare two CSV files by a key column and report rows that were added, removed or changed.
Compare CSV files →List Comparator
Paste two lists and find values unique to each side or common to both.
Compare lists →CSV Viewer
Inspect, sort and filter a CSV file in a searchable table.
View a CSV →SQL IN Builder
Turn a column of values into a SQL IN clause ready to paste into a query.
Build a SQL IN clause →See the full data cleanup & QA tool cluster →
Why browser-local matters for data and QA engineers
QA and data work means comparing exports that may contain real customer records. Your pasted tool data is processed locally in your browser and is not uploaded for tool processing. That means you can reconcile, clean and inspect customer data without it ever leaving your machine.
FAQ
Is my CSV data uploaded anywhere?
No. Your pasted tool data is processed locally in your browser and is not uploaded for tool processing, so exports and customer data stay on your machine.
How do I compare two CSV files by a key column?
Use CSV Join & Compare: pick a key column and it reports rows that were added, removed or changed between the two files.
How do I find missing rows between two exports?
Load both files into CSV Join & Compare (or List Comparator for single columns) to see which keys exist in one file but not the other.
Can I turn a CSV column into a SQL IN clause?
Yes. Clean the column with the CSV/Line tools, then the SQL IN Builder produces an IN(...) clause you can paste into a query.
Related
- API developers — decode tokens, verify webhooks, debug responses.
- DevOps / SRE — validate manifests, scan configs, convert formats.
- Data cleanup and QA tools — the full tool cluster.
- Compare two CSV files by key