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When a few months ago I decided to buy a NAS, my plan was to use it as a dumb storage device that makes it easier to access my files and keep them safe. Gradually, though, I found myself using my lowly QNAP T-231P NAS for various photography-related tasks.

Got a NAS? Still store your photo library and digiKam databases on a local machine? It’s time to take your digiKam setup to the next level by moving your photo library to the NAS and switching to the MariaDB (or MySQL) database back end.

Since I left Facebook for good, I realized how much I liked a simple yet nice feature. Every day, Facebook would show me photos I took on this day a year ago. Although I wasn’t sharing a lot of photos on Facebook, I enjoyed receiving these small greetings from the past.

A while ago, I cobbled together Photo Funnel, a simple tool for importing photos and RAW files from storage cards to a Linux machine. Although it wasn’t meant to replace digiKam, I ended up using it as my primary import tool for two reasons: speed and simplicity.

For someone who doesn’t write code for a living, creating even the simplest Android app can be a daunting proposition. Fortunately for those of us with basic coding skills, there is Jasonette.

The default functionality of the Import module in digiKam can be extended by linking a Bash shell script to the import operation. This way, you can perform a wide range of actions on the imported files.

After a few evenings of coding and testing, I rolled out a new version of Little Backup Box. It is one of the most significant updates in the project’s life, and it introduces new functionality and a wide range of improvements.

Although the current version of Little Backup Box does the job, I still keep tweaking and improving it. And the latest version of the script brings a few minor but useful improvements.

Although modern Olympus cameras are not particularly hacker-friendly, enterprising and determined coders still manage to extend the existing functionality beyond its intended use.

For someone like me, who doesn’t write code for a living, creating even the simplest Android app can be a daunting proposition.

I don’t have have enough photographic equipment to use a dedicated application to keep tabs on it. But I do need a simple tool to store essential information about the camera, lenses, and whatnot in my bag. And since I couldn’t find anything that meets my particular needs, I cobbled together one myself.

As is often the case, I’m late to the party. But after years of dealing with VPS and home-grown backup solutions, I finally took the plunge and invested in a dedicated Network Attached Storage (NAS) appliance.

I’ve been traveling quite a bit lately. And to fight the battery anxiety syndrome, I’ve bought an Anker PowerCore 20100 mAh power bank. This relatively compact and light pack features two USB charging ports capable of delivering up to 2.4 mAh.

Need to compare two photos side-by-side? Using the convert tool, you can quickly stitch two or more photos together and compare the result in any image viewer.

If all you want is to geotag photos with coordinates of the city where they were taken, a simple Bash shell script is all your need.

If you happen to use a photo publishing application like Mejiro that stores photos and their thumbnails in regular directories, you can automatically map your photos with uMap and a dash of PHP scripting.

Hald-CLUT files offer a straightforward way to apply color corrections to an image. But what if you have a handful of Hald-CLUT files and you want to apply them all to a specific photo?

Deploying openSUSE on Raspberry Pi 3 is not all that complicated, but there are a few tricks that smooth the process.

While WD My Passport Wireless is a rather useful device in its own right, the fact that it powered by a lightweight yet complete Linux distribution means that its capabilities can be extended even further.

Before you head for a photo walk, it makes sense to check the weather and ensure that you won’t miss the golden hour. And Sonnenhut can help you with that. This simple Python script fetches and displays current weather conditions and golden hour info for a specified city.