Local
Works in your Mac, Windows, or Linux.
Free desktop app for clinical data review
Nimble Viewer is a free, fast, local, read-only desktop app for Windows, Mac, and Linux for clinical dataset review.

Nimble Viewer is a free, local, read-only desktop app for clinical data exploration and review.
Open common study files, explore them quickly, filter and sort without code, inspect metadata, and convert what you need into convenient formats.
Open SAS, XPT, CSV, Excel, Parquet, CDISC Dataset-JSON, and Define-XML files, filter and inspect data in seconds, and review columns and metadata without moving files to a server.
Works in your Mac, Windows, or Linux.
Open largest of files in split seconds.
Designed for Clinical Data Exploration.
Support mainstream file formats.
Answer questions faster directly from source data.
Narrow rows quickly without writing code.
Reorder records instantly to surface what matters.
Hide, pin, and rearrange variables for cleaner review.
Inspect counts, and distribution rapidly.
Open .sas7bdat and .xpt for day-to-day dataset review.
Open Define-XML with its stylesheet and review it inside the app.
Review CDISC Dataset-JSON in the same fast viewer workflow.
Work with CSV, Excel, and Parquet in one consistent experience.
Convert the current data view into practical working outputs.
Convert to CSV or Excel for downstream review and collaboration.
Export filtered data when you want to share just the relevant slice.
Create a working copy without changing the original file.
Available across operating systems.
See Nimble Viewer's Terms of Use and Privacy Policy.
Nimble Viewer 0.1
Yes. Nimble Viewer is a free desktop app.
No. Nimble Viewer is built for local review on your machine.
No. It is designed for exploration and review, not source editing.
Nimble Viewer supports SAS datasets, SAS transport files, CDISC Dataset-JSON, Define-XML, CSV, Excel, and Parquet.
Yes. You can filter, sort, and reshape the view directly in the app.
Yes. Nimble Viewer helps you review column details, data context, and dataset structure as you work.
Yes. You can convert the data you are reviewing into convenient working formats such as CSV or Excel.
Yes. CDISC's Define-XML v2.0 & 2.1 can be opened and reviewed inside the app.
Clinical programmers, biostatisticians, data managers, clinical reviewers, and study teams who need fast clinical data review.