Skip to content

Viewda 0.3.0

Latest
Latest

Choose a tag to compare

View all tags
@github-actions github-actions released this 26 Aug 19:19
· 1 commit to main since this release
Immutable release. Only release title and notes can be modified.
v0.3.0
This tag was signed with the committer’s verified signature.
MeisQuietude Stepan Savelyev
GPG key ID: E1389CCE5E79DECB
Verified
Learn about vigilant mode.
a361556
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

Installation

Every build below comes from
GitHub Releases.

macOS

Install with Homebrew — it picks the right architecture, and the app keeps
updating itself:

brew tap meisquietude/viewda https://github.com/MeisQuietude/Viewda
brew trust --cask meisquietude/viewda/viewda
brew install --cask viewda

Or download a DMG: Apple silicon for an M-series Mac, Intel for an older
Intel Mac, or Universal if unsure. Open it and drag Viewda to Applications.

Either way, builds are not notarized yet; if macOS blocks the first launch,
choose System Settings → Privacy & Security → Open Anyway.

Windows x64

Download and run the .exe. It is not code-signed yet, so SmartScreen may
require More info → Run anyway.

Linux x64

Download the AppImage, run chmod +x Viewda_*.AppImage, then open it. The
AppImage is recommended because it supports in-app updates. The .deb
package is a manual-update fallback and is not recommended for most users.
AppImage file associations require integration through appimaged or
AppImageLauncher.

Changes

Added

  • Open Parquet folders recursively as datasets. Hive columns become integers only when all non-null values are canonical signed integers; otherwise they stay text. Filter, sort, inspect, and export complete datasets; source modification times stay unchanged and file starts pinned.
  • Inspect Parquet storage in Structure view with exact chunk coverage and row-group ranges; sortable row-group and physical-column tables with stable leaf numbers for shortened paths; an optional chunk map with compression, codec and statistics lenses plus independent Bloom markers; chunk details and Bloom probes; and a path-free, value-free Markdown report.
  • Inspect nested cell values with typed grid previews and a resizable, searchable Peek opened with Space, double-click, or the cell menu. Expand structured JSON, inspect long text and binary data, cancel long operations, and copy values without leaving the grid.
  • Read loaded Data columns with their logical Arrow types in the schema sidebar; incomplete or unloaded schemas retain their physical representation.

Fixed

  • Keep the column selector visible above the data grid's column headers.
  • Made the empty WHERE popup shorter, narrower, and consistent in size with the query controls.
  • Keep the Data grid's horizontal scrollbar visible, consistently sized, and draggable across platforms.
Assets 12
Loading