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Open large tables and identify columns, types, blanks, and malformed rows.
Open, filter, and inspect table-like files without importing them into a heavyweight database first.
DataLens is not available as a finished download yet. It is a planned Nova Labs desktop utility focused on CSV, JSON, and large table inspection. Development will begin after the product direction, interface, and core workflow are finalised.
NOVA-DLN-05DataLens is planned for CSV, JSON, and exported operational data that needs quick inspection and cleanup.
Open large tables and identify columns, types, blanks, and malformed rows.
Sort, search, narrow, and compare records without losing the original file.
Write selected rows or cleaned views to a new file after review.
DataLens is planned as a lightweight desktop data viewer for opening table-like files, identifying structure problems, and reviewing records before export.
Planned features include CSV and JSON review, column detection, sorting, filtering, blank and malformed row checks, and selected export previews.
It is intended to give everyday data files a quick inspection path without importing them into a heavyweight database or changing the original file by accident.
Use cases include exported reports, API result files, operational data dumps, spreadsheet cleanup, and quick checks before sharing or archiving data.
Finished application screenshots will be added after the first prototype UI exists. The current visual is product artwork, not a shipped interface screenshot.
DataLens is planned around common table-like files such as CSV, JSON, and exported operational data.
The intended workflow is review first, then write selected rows or cleaned views to a new export rather than silently changing the source file.
No. DataLens is currently a planned Nova Labs product and does not have a public build yet.
DataLens is planned for development and should be treated as a product concept, not a completed public release.