Download the Latest udisks-Indicator: Faster & Better

There is now a new version of udisks-indicator available to download with which you can view information about your mounted partitions from the menu area more quickly. The handy applet has also received improvements to its visual indicators and layout.

udisks-indicator

Udisks-indicator is inspired by the iStat Menu 3 utility for macOS and in it does an even better job of mimicking iStat in this release, thanks to new graphical new usage bars, and additional partition info and iconography, which in turn, improve the “glance-ability” aspect.

Sergiy Kolodyazhnyy, the developer of the tool, speaking of this release, says that “the indicator now has much prettier and more configurable user interface, although it has been achieved within limitations of app indicator API”.

The indicator menu shows the data below about mounted drives listed in their original order with itmes in bold being new to the v2.0 release:

  • Partition
  • Alias ( if set by user )
  • Disk Drive to which partition belongs
  • Mountpoint of the partition ( directory )
  • Filesystem format (e.g., EXT4)
  • Usage in percent and human readable format
  • Usage bar

With the “Unmounted Partitions” menu, users can quickly see which partitions are available to mount and allows for them to be mounted with a single click. Also, the indicator now throws a native notification bubble if it detects any mount errors.

The new Preferences section allows the disabling of certain fields out of view (e.g., Alias, Mountpoint). Concerning this, Sergiy notes, that we should keep the indicator menu clean if there are large numbers of partitions attached.

Downloading & Installing uDisks Indicator on Ubuntu 16.04 +

You can download Udisks-Indicator from Github, and install via its package or via its new, official PPA. Launch the app from your application menu when it is done downloading.

You can make all bug reports on its Github issues page.

About The Author
Okoi Martins Jr.
I'm a Computer Scientist with a passion for learning new things in fields ranging from theoretical implications of computer science and mathematical modeling to web development and music. In my spare time, I listen to music, read like a compiler, and learn like an A.I algorithm.

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