Orange Blog
By: BIOLAB, Jun 3, 2013
Network Add-on Published in JSS
NetExplorer, a widget for network exploration, was in orange for over 5 years. Several network analysis widgets were added to Orange since, and we decided to move the entire network functionality to an Orange Network add-on. We recently published a paper Interactive Network Exploration with Orange in the Journal of Statistical Software. We invite you to read the tutorial on network exploration. It is aimed for beginners in this topic, and includes detailed explanation with images.
By: BIOLAB, Feb 6, 2013
Orange NMF add-on
Nimfa, a Python library for non-negative matrix factorization (NMF), which was part of Orange GSoC program back in 2011 got its own add-on. Nimfa provides a plethora of initialization and factorization algorithms, quality measures along with examples on real-world and synthetic data sets. However, until now the analysis was possible only through Python scripting. A recent increase of interest in NMF techniques motivated Fajwel Fogel (a PhD student from INRIA, Paris, SIERRA team) to design and implement several widgets that deal with missing data in target matrices, their normalizations, viewing and assessing the quality of matrix factors returned by different matrix factorization algorithms.
By: BIOLAB, Jan 29, 2013
Writing Orange Add-ons
We officially supported add-ons in Orange 2.6. You should start by checking the list of available add-ons. We pull those automatically from the PyPi, which is our preferred distribution channel. Try to install an add-on by either: writing “pip install ” in the terminal or from the Orange Canvas GUI. Select “Options / Add-ons…” in the menu. Everything should just work. Writing add-ons is as easy as writing your own Orange Widgets or Orange Scripts.
By: BIOLAB, Jan 21, 2013
Orange 2.6
A new version of Orange, 2.6, has been uploaded to Python Package Index. Since the version on the Orange website is always up to date (we post daily builds), this may not affect you. Nevertheless, let us explain what we were working on for the last year. The most important improvement to Orange is an implementation of add-on framework that is much more “standard pythonic”. As a consequence, the add-on installation procedure has been simplified for both individual users and system administrators.
By: BIOLAB, Nov 30, 2012
The easy way to install add-ons
The possibility of extending functionality of Orange through add-ons has been present for a long time. In fact, we never provided the toolbox for crunching bioinformatical data as an integral part of Orange; it has always been an add-on. The exact mechanism of distribution of add-ons has changed significantly in the last year to simplify the process for add-on authors and to make it more standards-compliant. Among other things, this enables system administrators to install add-ons system-wide directly from PyPi using easy_install or pip.