Another thoughtful comment on filters

Another thoughtful comment on filters from Igor:

I am tinkering a bit with Piggydb, as I am looking for a replacement for BasKet which stalled at KDE3, and my favorite Wiki on a Stick that is on its way to discontinuation of development for some years now (unfortunately, pretty common in one-man-developement FOSS). So far, Piggydb looks extremely promising. To get to know it, I wrote a little knowledge base of its user interface, parts of which are undocumented, and that made me read the documentation base thoroughly.

Concerning redundancy of filtering, I can only confirm it from the standpoint of purity of concept. However, Piggydb is just a tool, so the true concept is its projected usage. I see filters as saved searches, and when the base is growing huge, one needs every help in finding fragments. Using tags, that is, concepts for this purpose makes tags themselves impure, or rather misused. Besides, no matter how do we approach tagging, possibility of tagging overflow is luring all the time, the more so as one pays more attention to structuring one’s knowledge base. We learn about it from almost any science, particularly from humanities, as the extent of conceptual superstructure might seriously challenge any basic influx of data, and the literary criticism is a very good example.

So, the only thing I feel is wrong with filters is impossibility of filtering by keywords. In other words, I’d like to see the filtering tool as another search tool with additional naming and saving. This, of course, can be an option added to the main search tool.

As for the third, the left frame or column, in the beginning it seemed to me as wasting of precious page space, once there is this very fine quick preview available. But I very soon learned to appreciate the possibility of viewing simultaneously entire single fragment and the list of other ones. Particularly in the initial phase of looking for regularities it is good to have as few limitations as necessary. So I’d prefer not having the list (or the tree) in the central frame automatically filtered by the chosen fragment tags, because instead of sparing few clicks it is often forcing few extra. I am regularly comparing the fragment to various sets of other fragments, so I am doing some searching in the central frame, having the focused fragment exposed in the left one. Of course, when one already knows one’s base hierarchy and has it built, then present behavior is perfectly OK, but as I got it, Piggydb is about finding a structure rather than documenting it, and about relation network rather than hierarchical tree.

Actually, the only thing I believe Piggydb is missing at this moment is graphical, vectorial presentation of relations network on demand, with fragments represented by their names (possibly links) interconnected by arrowed lines, maybe some sort of SVG. It would make a huge help in examining (and possibly even editing?) already established relationships. But again, bearing in mind probable number of fragments of any serious base, I am fully aware this might be too much to ask for. Pity, because this one feature would make Piggydb a killer app.

Piggydb V6.18 – All/Any Switch for Tag Search and Related Fragments

This release adds yet another update to the search feature by adding an All/Any switch to the tag search:


In the previous versions, searching by tags results in the fragments tagged with ‘all’ of the specified tags. From this version, you can switch between ‘all’ and ‘any’. ‘Any’ displays the fragments tagged with ‘any’ of the specified tags.

The ‘Any’ tag search produces another feature called “related fragments”. In the fragment page, the list view displays all the fragments tagged with any of the tags of the focused fragment:


You can download the latest version from:

How to install PiggyDB on a Raspberry PI

I’ve stumbled upon an interesting article about Piggydb with the title above:

How to install PiggyDB on a Raspberry PI


The description of Piggydb in the article is concise and to the point.

If you don’t know PiggyDB yet, go have a look. To make it short, it’s your personal wikipedia. You can tag fragments (= an article), upload pictures or files, use its search engine to find what you stored in here. The smaller your fragments are, the better I think. Main features I forgot to speak about : Zero setup and it’s web application (Nothing to install anywhere else!).

Get Supporters Edition at CeBIT!

We decided to give all of CeBIT talk attendees free copies of the Piggydb Supporters Edition which provides premium features in addition to the standard features.

We hope you’ll come to Piggydb’s talk in Hanover next week!


Piggydb at CeBIT 2014 in Hanover

“Grow Your Knowledge with Piggydb” by Dmitri Popov
– 10 Mar. 2014, 01:00 PM – 01:45 PM

Don’t miss it if you will be at CeBIT! It’s a very rare opportunity to hear about Piggydb.


Piggydb V6.17 – Incremental Search by Tag and MathJax Support

Firstly, this release extends the fragment incremental search to support tags in addition to keywords. You can add tags for the list to include or exclude the fragments with the specified tags as follows:


The list will be automatically refreshed as you edit the criteria (keywords, tags). This incremental search is going to replace the filter feature which will be removed in coming versions.

Secondly, the release adds MathJax support that allows you to embed mathematics notation by writing LaTeX expressions in the content:



And lastly, the global search box has been cleaned up a little bit, removing the redundant buttons.


You can download the latest version from:

Linux Magazine: Organize and access data with Piggydb

Linux Magazine

Dmitri Popov, a technical writer covering Linux and open source software, wrote an extensive article on Piggydb for Linux Magazine. It covers various topics: what Piggydb is all about, detailed instructions on how to set up and use it, etc.

To be honest, I think it is the best article on Piggydb I’ve ever read. So if you are looking for a definitive guide to enter the Piggydb world, it is definitely worth checking out.


Get every new post delivered to your Inbox.

Join 30 other followers