Which operating systems does Tad support and how is it installed?

Tad (tadviewer.com) ships packaged installers for macOS (both Intel x86 and Apple Silicon M1/M2), Linux (x86), and Windows (x86). You install it as a native desktop application — there is no browser-based version. The site presents download links organized by platform, and additional package formats (such as .rpm for RPM-based Linux distributions) are available on the project's GitHub Releases page. One caveat to weigh before installing: the author describes Tad as "a perpetual work-in-progress hobby project," so you should expect occasional bugs, UI annoyances, and corner cases.

Supported platforms at a glance

The current release referenced on the site is Tad 0.14.0 (June 21, 2024).

How to install Tad

1. Pick your platform. On tadviewer.com, choose the download matching your OS and chip. Mac users should select the Apple Silicon build if they're on an M-series machine, or the x86 build for Intel Macs.
2. Download the installer. The site provides packaged installers for each platform; if you need a format not listed there (for example, .rpm), go to the Tad Releases Page on GitHub.
3. Run the installer for your operating system as you would any desktop app.
4. Verify it launches and can open a file — for example, a CSV, Parquet file, or a SQLite/DuckDB database, which are the formats Tad is built to view.

Common snags

• Corporate firewalls: Tad relies on DuckDB, and release notes for 0.13.0 mention improved error handling "when DuckDb extensions can't be downloaded to enable use behind corp firewalls." If extensions fail to download on a restricted network, that's the likely cause.
• Hobby-project rough edges: The author explicitly warns about bugs and corner cases and asks users to report them via Help → Send Feedback or by emailing [email protected].
• Staying current: New releases are announced through the Tad Users mailing list, described as a low-bandwidth list for Tad-related announcements only.

Is it the right fit for your platform?

If you're on macOS (Intel or Apple Silicon), x86 Linux, or x86 Windows and want a fast local viewer for large CSV/Parquet files and SQLite/DuckDB databases, Tad's packaged installers cover you directly. If you're on a Linux distribution that prefers RPM packages, plan to grab the .rpm from GitHub Releases rather than the main site. And if you need rock-solid stability for production-critical work, treat the hobby-project caveat as a real trade-off and test Tad against your own files before relying on it.