Orange Reviews & Product Details


What is Orange?

Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox

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Orange Profile Details

Orange Profile Details

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Orange
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@OrangeDataMiner
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Companies Using Orange

BNP Paribas
AkzoNobel
Sodexo
Siemens
Flowserve
chronodrive
Amcor Holdco 3
Solvay
cricket.com.au
DSM
Saudia
Zumtobel Group

Orange Reviews

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1-7 of 7 total Orange reviews
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Founder and president
Information Technology and Services
Small-Business
(11-50 employees)
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"Intuitive Data Science"

What do you like best?

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!

What do you dislike?

Theres 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 a bit long (1 to 2 mins, depending on your PC or server).

When creating data modelling and analytic workflows auto-save and "undo" features may be helpful when working on more complex processes.

Recommendations to others considering the product:

Learning by doing: Orange is VERY rich on guidelines, tutorials and templates. However, in my experience, its easy enough to be mastered by simply using it.

What problems are you solving with the product? What benefits have you realized?

I use Orange especially for its strength in none structured data/text mining features, using its dedicated text mining plugin. There we analyze sentiments for Twitter (through its API) and LinkedIN (using the text import tool) and correlating that data with sales results for our customers.

In addition to that, I use Orange also at Universities where I teach to introduce Data Science as one of the key fields for achieving Digital Transformation.

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PHP Developer and Software Tester
Small-Business
(11-50 employees)
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"Orange Review "

What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

Easy and user friendly to use.

What problems are you solving with the product? What benefits have you realized?

I have used it for learning purpose in the last year. For now, I am working on the algorithm to optimize the already built HRMS system. I am trying to activate auto allocation of the admin and trainer for which I have created an algorithm. I am analyzing the same using the Orange tool.

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Software Engineer
Mid-Market
(51-200 employees)
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"Sagacious use of Orange Software"

What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

It is marvellous tool to explore for data visualisation and machine learning. Many projects can be easily implemented using this free software which is straightforward to handle.

What problems are you solving with the product? What benefits have you realized?

Currently, I have been working on a project of face recognition in Orange Software, and it has been remarkably useful to me. I have collected the data-set and stored it in by converting the images into array of pixel values. This data-set is loaded into the Orange software and I have trained a neural network to identify the faces of the people. The most important benefit I have realised about this software is I do not need to write code for my neural network, I can just drag and drop the neural network widget and change the parameters like loss function, activation function and number of neurons.

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"Data preprocessing and visualization is very easy and effective in Orange"

What do you like best?

Orange is a tool an interactive data visualization and data preprocessing. It has a wide range of tools incorporated in it for complex data analysis. The cross-platform User interface is quite well supported by it.

Also, It is the oldest tool of its kind, so it has a very vast community support and tutorials. The best part of this tool is it is all drag and drop based tool for data cleaning and preprocessing. the intermidiate and final result can be seen easily with just some clicks! What's better than it, we can expect!

What do you dislike?

The deep learning curve is there for proficiently utilizing this tool; however, as there are many free resources available it takes only patience and practice to master it.

Recommendations to others considering the product:

For data analysis and data preprocessing purpose, Orange is one of the very good tools out there. Also, as it is a free tool with a number of useful GUI based widgets it should be given a try for once at least.

What problems are you solving with the product? What benefits have you realized?

I was in the team of data preprocessing task. We primarily adopted Orange for this task. I have done data loading and data cleaning part in Orange. Also, I have to generate a report for an intermediate result and forward them accordingly. It really helps me a lot to understand the structure and form of raw data.

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(2-10 employees)
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"Great open source learning tools for developing workflows"

What do you like best?

This tool is great and has a unique teaching feature that is visual. It aids in learning through hands on training and use of illustrations

What do you dislike?

There is a lot of add on functionality that I think can be better used and integrated into the software. It is applicable to so many industries but the tools aren't readily available.

What problems are you solving with the product? What benefits have you realized?

Developing workflows and presenting a visual education tool to data mining and extrapolating data. This tools has been beneficial in learning more about how to use the data and how to more easily extract the necessary parts.

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"Easy to use and great tutorials"

What do you like best?

Great functionality, fairly easy to use, love the tutorial videos

What do you dislike?

Need more customer service/support.. an outside thred

Recommendations to others considering the product:

great choice!

What problems are you solving with the product? What benefits have you realized?

data mining

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"The best data mining and visualization software"

What do you like best?

Versatile range of widgets for data visualization, analytics, mining, and other purposes.

What do you dislike?

Nothing that I particularly dislike about it.

Recommendations to others considering the product:

Be prepared for a steep learning curve.

What problems are you solving with the product? What benefits have you realized?

Cheap way to create visualizations for clients.

Orange User Ratings

9.2
Ease of Use
Average: 8.5*
7.2
Quality of Support
Average: 8.8*
10.0
Ease of Setup
Average: 8.2*
* Self-Service Business Intelligence Category
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