Successful utilization with huge data, as huge information in reading isn't easy so it provides the best visuals to read data through graphical visions and expectation models can be created and used for estimating. Easier to analyze and predict data with the huge amount of information, just by setting up streams. Basic coding is required for AI. Review collected by and hosted on G2.com.

Not appropriate help, difficult to use, errors are untraceable, invalid data can also be handled in breakdown. Review collected by and hosted on G2.com.

easy installation, quick response on feeding large data file, excel,DB,csv file can be used to analyse. Data flows and setup instructions are by UI,much clear and easy to use. not takes heavy resources. perdiction and machine learning is easier through the its GUI. Review collected by and hosted on G2.com.

not available as Saas,visuals graphics are unable to work out further, unable to work with live data. unable to integrate with other database. Review collected by and hosted on G2.com.

Best thing it is very easy to use, and has a lot of templates and components like widgets, which are very useful and effective for data analytics, data visualization tools are also very good. I found Orange very useful for data management and for reporting and analysis. It aids in learning through hands-on training and use of illustrations. Review collected by and hosted on G2.com.

Configuration was a bit difficult, more add-ons, not have any cloud or web support, need more customer support and backup support. Review collected by and hosted on G2.com.

It has a lot of beautiful templates, which makes my report more visually pleasing, I love that. I also think that Orange is great for big data analyzation, I found that very useful since most of data visualization tools suck when it comes to big data. Review collected by and hosted on G2.com.

Everything is fine but I think Orange should upgrade their server qualities, it is getting slower recently. Review collected by and hosted on G2.com.

Best thing is it is an opensource and very easy to use. Data Visualization and analysis is very much effective using Orange. Its Add-on feature also helps in utilizing more functions Review collected by and hosted on G2.com.

Configuration was a bit difficult for me and more add-ons can be added Review collected by and hosted on G2.com.

I think Orange has served me well for the front-end of ML as compared to some of the other GUI tools available out there. It has a good selection of test data which does not require acute supervision. The widgets are well developed and I have never had any issues with them either. Review collected by and hosted on G2.com.

Two major issues. The file loading feature does not seem to work for me, and I'm not sure if that is just my installation of it or a general problem with Orange. The other thing is that it does not have any cloud or web support, nor is it platform compatible. So you are pretty restricted in the choice of platforms you are using it on. Review collected by and hosted on G2.com.

Orange sports an easy to pickup interface that allows even none data experts to get a handle on things fast, without having to go through many manuals and tutorials. It is also very extensible, adding a manifold of analytic features through its rich plug-in library. Adding to all of that the fact that Orange is completely open source, this software simply can not be ignored by any data professional in the field! Review collected by and hosted on G2.com.

There's not much to dislike when it comes to Orange. Things that could be improved upon are desktop application size (it currently clocks in at 422 MB), especially when it comes to version updates where you have to completely download everything from scratch and reinstall the entire suite. Loading times at the beginning can also be a bit long (1 to 2 mins, depending on your PC or server). When creating data modeling and analytic workflows, auto-save and "undo" features may be helpful when working on more complex processes. Review collected by and hosted on G2.com.

It is open source and has a very interactive data visualization. It is for everyone for a beginner as well as professional level. Orange supports visual programming and it executes a simple as well as complex data analysis. It is used to create beautiful and interesting graphics. Orange supports extend functionality. It supports cross platform GUI. Advanced functions for expert level are included. But it will take lots of patience and practice to reach that level. The training, contact support and implementation can be easily monitored.

Above all, the GUI is very attractive and simple to access. It helps neophyte students to study it perfectly and implement on will. Review collected by and hosted on G2.com.

The install is big since you need to install QT. Machine learning is not handled uniformly between the different libraries.

Orange is weak in classical statistics; although it can compute basic statistical properties of the data, it provides no widgets for statistical testing

Reporting capabilities are limited to exporting visual representations of data models.

Problematic if your algorithm is super advanced because few of the special data mining techniques might not be supported by Orange tool. Review collected by and hosted on G2.com.

This software provides a myriad number of predefined options that can be applied on a data-set. It provides options for data visualisation, machine learning and data mining. The thing which I admired the most of this software that it has widgets available for different classification algorithm like naive bayes, decision tree, neural networks and many others. There is no need of writing a single line of code, we have to just load the data-set and pass it to one of the predefined widgets and we can get the output. It should be noted that we can also modify the parameters in a particular widget, for example : In neural network widget we can change the number of neurons and add customised hidden layers in order to build a suitable neural network for a definite purpose. Review collected by and hosted on G2.com.

The software is of great use to the newcomers in the field of data mining and machine learning, they can experiment with different algorithms and learn from it. However, there are some minor flaws in the software which I dislike. Some of the widgets available in the software only takes a specific kind of input that has been an output of another widget. This inputs are not explicitly mentioned and so thats why sometimes it is difficult to figure out the error of why the widget is not accepting the input. Instead it should be mentioned in each widget about the inputs and outputs in a detailed way. Review collected by and hosted on G2.com.

It is written in python and quite easy to get familiar with. Review collected by and hosted on G2.com.

It is unable to analyze/import data with .edf files and does not perform silhouette scores for entities greater than 5000. Typically, i use data with 14,000+ entities. Within Orange, visualization assistance is somewhat restricted Review collected by and hosted on G2.com.