MH

Muhammad H.

Team Lead CMS ( WordPress & Shopify )

Mid-Market (51-1000 emp.)

7/9/2020

"Graphical portrayal of enormous information with Orange"

4.5/5

What do you like best about Orange?

Successful utilization with huge data,as huge information in perusing isn't simple so its give best visuals to peruse information by graphical dreams and expectation model can be made and utilized for estimating

easier to investigation and anticipate information the huge measure of data,just to setting up streams , Basic coding is required for AI. Review collected by and hosted on G2.com.

What do you dislike about Orange?

not appropriate help, difficult to utilize, blunder are untraceable, invalid information also can be handled in break down. Review collected by and hosted on G2.com.

TA

Talha A.

Assistant Manager Finance

Small-Business (50 or fewer emp.)

7/25/2020

"orange for data visuals and ML"

4/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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.

AA

ALI A.

Recruitmnet & Selection Executive

Enterprise (> 1000 emp.)

7/11/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Data Analytics & Data Visualization with Orange"

4.5/5

What do you like best about Orange?

Best thing it is very easy to use, and has alot of templates and components like widgets, which are very use full 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.

What do you dislike about Orange?

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.

GK

Glen K.

Small-Business (50 or fewer emp.)

6/6/2020

"Very Useful"

4.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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.

JH

Jahanzeb H.

Deputy Manager HR

Mid-Market (51-1000 emp.)

7/6/2020

"Best Opensource Machine Learning & Data Visualization"

4.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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

ZP

Zainab P.

Computer Scientist

Research

Mid-Market (51-1000 emp.)

10/24/2019

"Orange for Data Science"

3.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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.

Recommendations to others considering Orange:

I think Orange is a good tool to understand data workflows and play around with the widgets. Review collected by and hosted on G2.com.

What problems is Orange solving and how is that benefiting you?

The dashboards and reporting tools are what I use the most in Orange, as a part of the anaconda toolset. The visual features and the widgets make it easy to analyze concepts and data, which is hard to understand just by looking at it. Review collected by and hosted on G2.com.

KW

Kay W.

Founder and president

Small-Business (50 or fewer emp.)

6/12/2019

"Intuitive Data Science"

4.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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. Review collected by and hosted on G2.com.

Recommendations to others considering Orange:

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. Review collected by and hosted on G2.com.

What problems is Orange solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

AD

Abhi D.

PHP Developer and Software Tester

Small-Business (50 or fewer emp.)

5/1/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Orange Review "

4.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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.

Recommendations to others considering Orange:

Easy and user friendly to use. Review collected by and hosted on G2.com.

What problems is Orange solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

SR

Shivam R.

Software Engineer

Mid-Market (51-1000 emp.)

12/6/2018

"Sagacious use of Orange Software"

4.5/5

What do you like best about Orange?

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.

What do you dislike about Orange?

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.

Recommendations to others considering Orange:

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. Review collected by and hosted on G2.com.

What problems is Orange solving and how is that benefiting you?

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. Review collected by and hosted on G2.com.

KA

Khadijah A.

Publicity Director

Professional Training & Coaching

Enterprise (> 1000 emp.)

7/10/2019

"EEG Data Analysis"

2.5/5

What do you like best about Orange?

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

What do you dislike about Orange?

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.