About Orange

Orange is a data mining solution that helps small to large businesses create data analysis and visualization workflows to generate linear projections, heatmaps, MDS, decision trees, and more on a centralized platform. It allows staff members to utilize the graphic user interface (GUI) to generate qualitative analysis via data exploration and prototyping methodologies. Orange enables team members to build predictive analytics models using testing and training data. It lets employees use zoo data sets and hierarchial clustering to reveal phylogeny groups. With the pivot table functionality, users can aggregate and transform the data to identify differences between funded and non-funded projects....

Orange Pricing

Contact University of Ljubljana for pricing details.

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Orange User Reviews

OVERALL RATING

SECONDARY RATINGS

Ease-of-use

4

Value for money

4.5

Customer support

4

Functionality

4.5

Showing 1 - 5 of 17 reviews

User Profile

Olga

Verified reviewer

Company size: 2-10 employees

Industry: Education Management

Time used: More than 2 years

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
5

Ease-of-use

out of 5
5

Value for money

out of 5
5

Customer support

out of 5
5

Functionality

out of 5

August 2020

An Amazing Tool for Data Visualization, Machine Learning and Data Mining

That's splendid. I want to sincerely thank you. A great tool for researchers, scientists, Master's and PhD students, data scientists, and everyone who is keen on Data Mining, Machine Learning and Data Visualization.

Pros

I was using this program when I was doing my first Master's in Fundamental and Applied Linguistics, and the software turned out to be indispensable for my qualitative and quantitative research. I used the tool for lots of different operations, such as Linear Regressions, K-Means Clustering, working with Heat Map, Venn Diagram, t-SNE, Text Preprocessing, Topic Modelling, Concordance and Sentiment Analysis as well as working on Correlations and Data Tables. The most pleasant thing was that this software is compatible with Linux (mine was Ubuntu), but for some weird reason it worked better on Windows despite it should have liked more the native Python environment. However, it is really an outstanding tool, I really appreciate this great thing. I think it would be good if the developers worked on creating a more powerful version with paid subscriptions. Just an idea for the guys to consider in the future.

Cons

I had experienced some problems with doing Sentiment Analysis using by Orange (there were some widget or plugin trouble, for some weird reason the Sentiment Analysis thing was working perfectly only with some specific sets of data and languages).

Reasons for switching to Orange

It is a way too complicated for the users who are not keen on pure statistics and math, almost no tools for effective data visualizing, just pure statistics, too expensive for doing some semi-quantitative research and unsuitable for machine learning and data mining. Almost inaccessible in the long run for single individuals who cannot afford subscriptions and don't use the program more than 4-6 times a year.

User Profile

Tariq Mahmood

Verified reviewer

Company size: 1,001-5,000 employees

Industry: Consumer Electronics

Time used: Less than 2 years

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
4

Ease-of-use

out of 5
4

Value for money

out of 5
4

Customer support

out of 5
5

Functionality

out of 5

July 2020

Machine Learning, Perdiction based data viulization

Used in human resource planning, need of training in human resource development. Analyzed visuals of unemployment vs employed life's essential to get motivational reforms. Used in finance settlement predictions.

Pros

Best ever tool to visualize large data with basic configuration even by UI steps, like data flows and variable flows. Much effective in statistic process control, prediction and forecasting. It’s my essential tool while planning and deep through into large data, Machine learning and prediction models are awesome usage while testing hypothesis models. User interface, graphs, are really helpful to determine full meaning of data, so in data mining and data science it is a worthy tool with cool UI with easy usage. Machine learning, data prediction further can be used with programming in AI and other automated detection tools. Performance is awesome working on data, very easy to install.

Cons

Live visualization can’t be obtained from a database or data source, somehow it should be linked like simulated tool, like graph is running as data changing. Saas, domain or remotely usage is not available. Graphs can’t be further used in another presentation with data source, a screenshot is only can be copied.

Salman

Verified reviewer

Company size: 10,000+ employees

Industry: Textiles

Time used: More than 2 years

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
4

Ease-of-use

out of 5
4

Value for money

out of 5
4

Customer support

out of 5
4

Functionality

out of 5

June 2021

easy product selection, order, and checkout, to convenient online payment, shipping, and delivery—e

It's a good platform

Pros

Everything you need to start online today grow your business

Cons

No one can buy during site crush Can't try before buy Highly competitive

Anonymous

Company size: 1,001-5,000 employees

Time used: More than 2 years

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
4

Ease-of-use

out of 5
4

Value for money

out of 5
4

Customer support

out of 5
4

Functionality

out of 5

August 2021

Effective usage of data Visualization and Statistical ML models.

Overall found it useful while working on raw data, used in designing Electrical consumption of appliances, and assessment.

Pros

Used in big data analysis, found extremely easier while getting data insights and prediction with a few basic configurations, graphs, charts of external data like excel, CSV, and MySQL table are supported to perform. Machine learning and statistical-based machine learning models are useful while working with AI/automation-based analysis, data flow with variables can be defined as draggable options, no huge coding is required, while for advanced scenarios coding options is also available.

Cons

Graphics are poor formats, poor functions in charts, like histogram can not be modified after putting the data and variables, while even in excel its is configurable, support with ERPs is not available, some APIs type configuration should be available to work on ERPs data/

Reasons for switching to Orange

The previous one having limited features

User Profile

Lisa

Verified reviewer

Company size: 11-50 employees

Industry: Higher Education

Time used: Less than 12 months

Review Source: Capterra

This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.
4

Ease-of-use

out of 5
5

Value for money

out of 5
3

Customer support

out of 5
4

Functionality

out of 5

October 2018

Orange is for non programmers who want to learn Machine Learning!

Overall my experience with Orange has been fruitful for me as I picked up machine learning concepts without allowing my basic coding knowledge to hinder me. The interface is prettier than weka(another GUI tool for machine learning) There are several preloaded datasets that has already been clean and users can take advantage of those and follow through the documentation that is provided. My favorite one is the titanic dataset that predicts if the person survives or not depending their gender, class and the number of siblings/spouses they have.

Pros

The graphical user interface of orange is great for someone who is not a programmer but wants to execute analytic workflows on machine learning on their dataset. The interface is nicely designed and the analytics workflow is easy to create with the use of drag and drop of its widgets. The widgets available are extensive and would enable users to clean, visualize, build models for supervised and unsupervised learning and validate their model. Orange has put together resources for its users to pick up machine learning on their own. There are also several tutorial videos as well on the website.

Cons

We aren't able to set.seed in the software which causes results and analysis to not be reproducible. Orange does not provide enough parameters to tweak for advanced users. For instance, the randomForest widget does not allow the user to see which variables have the highest information gain.

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