Orange Blog
By: BIOLAB, Sep 2, 2013
Orange and AXLE project
Our group at University of Ljubljana is a partner in the EU 7FP project Advanced Analytics for Extremely Large European Databases (AXLE). The project is particularly interesting because of the diverse partners that cover the entire vertical, from studying hardware architectures that would better support extremely large databases (University of Manchester, Barcelona Supercomputing Center) to making the necessary adjustments related to speed and security of databases (2ndQuadrant) to data analytics (our group) to handling and analyzing real data and decision making (Portavita).
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: BLAZ, May 25, 2013
Orange 2.7
Orange 2.7 is out with a major update in the visual programming environment. Redesigned interface, new widgets, welcome screen with workflow browser. Text annotation and arrow lines in workspace. Preloaded workflows with annotations. Widget menu and search can now be activated through key press (open the Settings to make this option available). Extended or minimised widget tab. Improved widget browsing. Enjoy!
By: BIOLAB, Mar 4, 2013
Problems With Orange Website
Our servers crashed on Friday, March 1st due to technical problems. The Orange website was offline for several hours and Mac bundle was unaccessible until today. We are still reviewing if our other services work. If you notice some problems, please ping us. Stay tuned and fruitful downloading!
By: BIOLAB, Feb 14, 2013
New canvas
Orange Canvas, a visual programming environment for Orange, has been around for a while. Integrating new and new features degraded the quality of code to a point where further development proved to be a daunting task. With ever increasing number of widgets, the existing widget toolbar is becoming harder and harder to use, but improving it is really hard. For that reason, we decided Orange needs a new Canvas, a rewrite, that would keep all of the feature of the existing one, but introduce the needed structure and modularity to the source code.
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: BLAZ, Jan 6, 2013
New scripting tutorial
Orange just got a new, completely rewritten scripting tutorial. The tutorial uses Orange class hierarchy as introduced for version 2.5. The tutorial is supposed to be a gentle introduction in Orange scripting. It includes many examples, from really simple ones to those more complex. To give you a hint about the later, here is the code for learner with feature subset selection from: class SmallLearner(Orange.classification.PyLearner): def __init__(self, base_learner=Orange.classification.bayes.NaiveLearner, name='small', m=5): self.
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.