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Orange 2026: Benefits, Features & Pricing

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  • Overview
  • Pricing and Plans
  • Features
  • User Reviews

Overview

Orange
Orange
4.2
(19)

Pricing

Pricing available upon request

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 Screenshots

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Orange Pricing and Plans

Free Trial
Free Version

Basic

Pricing available upon request

No plan information available

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    Orange Features

    • Popular features found in Data Mining
      Activity Dashboard
      Data Capture and Transfer
      Data Connectors
      Data Extraction
      Data Import/Export
      Data Visualization
      Machine Learning
      Predictive Analytics
      Predictive Modeling
      Statistical Analysis
      Text Mining
      Visual Analytics
    • More features of Orange
      Customizable Dashboard
      Linked Data Management
      Reporting/Analytics
      Search/Filter
      Visual Discovery

    Orange User Reviews

    Overall Rating

    4.2

    Ratings Breakdown

    5

    21%

    4

    79%

    3

    0%

    2

    0%

    1

    0%

    Secondary Ratings

    Ease of Use

    4.2

    Value for money

    4.3

    Customer support

    3.8

    Functionality

    4.3

    Tariq Mahmood's profile

    Tariq Mahmood A.

    Verified reviewer

    Consumer Electronics

    1001-5000 employees

    Used daily for less than 2 years

    Review source

    Reviewed July 2020

    Machine Learning, Perdiction based data viulization

    4

    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.

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    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.

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    Olga's profile

    Olga B.

    Verified reviewer

    Education Management

    2-10 employees

    Used monthly for more than 2 years

    Review source

    Reviewed August 2020

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

    5

    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.

    Ratings Breakdown

    5
    Ease of use
    5
    Value for money
    5
    Customer support
    5
    Functionality
    icon
    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.

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    Salman's profile

    Salman K.

    Verified reviewer

    Textiles

    10000+ employees

    Used weekly for more than 2 years

    Review source

    Reviewed June 2021

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

    4

    It's a good platform

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    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

    Read More

    Lisa's profile

    Lisa L.

    Verified reviewer

    Higher Education

    11-50 employees

    Used daily for less than 12 months

    Review source

    Reviewed October 2018

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

    4

    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.

    Ratings Breakdown

    4
    Ease of use
    5
    Value for money
    3
    Customer support
    4
    Functionality
    icon
    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.

    Read More

    VR

    Verified
    Reviewer

    Electrical/ Electronic Manufacturing

    1001-5000 employees

    Used weekly for more than 2 years

    Review source

    Reviewed August 2021

    Effective usage of data Visualization and Statistical ML models.

    4

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

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    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

    Read More

    abdul's profile

    abdul b.

    Verified reviewer

    Consumer Electronics

    1001-5000 employees

    Used daily for more than 2 years

    Review source

    Reviewed June 2020

    Business Statistics on visualization and Machine learning with Orange

    4

    Overall an effective tool for business to analyze statistics by visualization, specially a few clicks can conclude million/billion of records and hence you can proceed,optimise and decide the business/project scenioris. Effective usage by predictions and categorised machine learning in AI.

    Ratings Breakdown

    5
    Ease of use
    5
    Value for money
    5
    Customer support
    5
    Functionality
    icon
    Pros:
    Best tool to perform visual analyze the deep statistics of a large data with a few steps, easy to use, UI is accordingly designed. Faster in operation with recommended system specification. Data input format is optimisation based and easier to conclude the prediction results. Supervised/unsupervised Machine learning is easier through basic programs. Best fo forecasting,predictions,SPCs.
    Cons:
    Not such a cons I found it, but only it can not configured with live data, any attachment with Mysql DB would be a plus point to work on live visualization.

    Read More

    Jahanzeb's profile

    Jahanzeb H.

    Verified reviewer

    Consumer Electronics

    1001-5000 employees

    Used weekly for more than 2 years

    Review source

    Reviewed October 2020

    Excellent Opensource for Data Analysis & Visualization

    4

    Overall, I am very satisfied with Orange opensource for its data visualization and analysis features and would recommend it to others.

    Ratings Breakdown

    4
    Ease of use
    5
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    Pros:
    For working on large data and statistical parameters including, predictive/hypothesis models and regression models this opensource provides efficient solution. Very convenient in performance, Data can be input in many formats, like .csv excel table, even a .sql format file can also be used. Graphical analysis of large data can be obtained with few steps, like scatter diagram add file, select scatter chart or any other, and variable, hence billion of records graphical representation can be obtained. Machine learning supervised, unsupervised and data categorized models and their validation is much sophisticated in Orange.
    Cons:
    Graphics can’t be copy/pasted in raw form in any presentation. Analysis and prediction of live data is not facilitated in orange. Errors are not categorized and authenticated by numbers.

    Read More

    Shahzad's profile

    Shahzad M.

    Verified reviewer

    Consumer Electronics

    1001-5000 employees

    Used weekly for less than 2 years

    Review source

    Reviewed June 2020

    Pros and Cons of orange for Data visualization

    5

    A perfect suit for business statistics, prediction analysis, machine learning and data visualization. Uses low resources, fast and convenient.

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    Pros:
    Easy to use and understand to perform the visualization work with large data, purely assists you to predict business insights with machine learning. Graphics and analysis direct you clearly to conclusions/results . As large data reading is tough and to make conclusion with the raw data is much tough so tools like orange will really help, it is based in data flows configuration which is too handled by user interface. Machine learning models and anylsis can be too performed on it for roboting.
    Cons:
    Graphics controller are lesser like zoom,scroll. 2nd they can't be exported in visual form. Reliability effects when wrong data is provided but it can't detect like numbers format instead of alphabatic letters.

    Read More

    Mudssar's profile

    Mudssar A.

    Verified reviewer

    Consumer Electronics

    1001-5000 employees

    Used daily for less than 2 years

    Review source

    Reviewed May 2020

    Data Analysis and ML with data Visulization.

    4

    Overall good to use if you are expert, data mining,visulization on big data I found perfect but after many practices, mixed GUI and programming so analysis is easy by setting the data flows. in this cost it is better.

    Ratings Breakdown

    3
    Ease of use
    3
    Value for money
    3
    Customer support
    3
    Functionality
    icon
    Pros:
    Useful tool to analyse big data, while working with regression and hypothesis I found it very helping. perdiction result may be conluded accurately if we know best assigning and configuration of data sets. Machine learning practies can be determined with basic programming.
    Cons:
    Advance analysis is not so easy, it do not give any error even on wrong data. some times slower the system while working on data.

    Read More

    Awais's profile

    Awais I.

    Verified reviewer

    Apparel & Fashion

    10000+ employees

    Used weekly for more than 2 years

    Review source

    Reviewed May 2020

    Business anayltics and data visulization with Orange

    4

    Overall found very useful and sophisticated, it fullfilled all my requirements which were comletely based on SPC and forecasting. On a few clicks I can analyze/visulize million of records within very short time. Recommended for Planning and forecastng purposes.

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    3
    Customer support
    5
    Functionality
    icon
    Pros:
    A powerful tool to analyze,perdict and visualize large data with a few configuration of data varibales, smooth and fast while working. Forecasting, trends can be simulated by visualization on it. Graphs settings are not typical that are fixed, In Orange we can modify axis,scale and data accordingly.
    Cons:
    Charts, visulized items cant be exported or copied in raw form, only screen short etc. is captured, which is some how does not look better when resizing in a presentation. Tracing error in data is difficult becuase we have to see it manual.

    Read More

    Showing 1 - 10 of 19 Reviews

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