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Orange Reviews & Product Details

Orange is an open-source software suite designed for data visualization, machine learning, and data mining. Developed by the Bioinformatics Laboratory at the University of Ljubljana, it offers a user-friendly, component-based visual programming interface that enables users to construct complex data analysis workflows without the need for coding. This makes Orange accessible to both beginners and experienced data scientists, facilitating efficient and interactive data exploration. Key Features and Functionality: - Visual Programming Interface: Users can create analytical workflows by placing and connecting widgets on a canvas, streamlining the data analysis process. - Extensive Widget Library: Orange provides over 100 widgets for tasks such as data input, preprocessing, visualization, modeling, and evaluation, allowing for comprehensive data analysis. - Interactive Data Visualization: The software supports various visualization techniques, including scatter plots, heatmaps, dendrograms, and box plots, enabling dynamic and real-time data exploration. - Machine Learning Capabilities: Orange includes tools for classification, regression, clustering, and other machine learning techniques, supporting both supervised and unsupervised learning. - Extensibility through Add-ons: Specialized add-ons are available for tasks like text mining, bioinformatics, image analytics, and time series analysis, enhancing the software's functionality. - Python Integration: Advanced users can extend Orange's capabilities or write custom scripts within the platform, combining visual programming with the flexibility of Python scripting. Primary Value and User Solutions: Orange democratizes data analysis by providing an intuitive, code-free environment for constructing and visualizing data workflows. Its modular design allows users to focus on data exploration and interpretation rather than programming, making it particularly valuable for educators, researchers, and professionals seeking to perform complex analyses efficiently. By lowering the barrier to entry in data science, Orange empowers users to make data-driven decisions and gain insights without extensive technical expertise.

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Orange Reviews (32)

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Raman P.

Partner

Enterprise (> 1000 emp.)

5/22/2025

"Anyone can Analyse with Orange"

5/5

What do you like best about Orange?

The most simple, ease, aesthetic, comfortable, cool features of Machine Learning .

Have been training students, professionals, executives and entrepreneurs using Orange for last 1 year and it's phenomenal. Review collected by and hosted on G2.com.

What do you dislike about Orange?

Statistical pieces are little, otherwise it's great Review collected by and hosted on G2.com.

Anshu A.

Placement Committee Member

Mid-Market (51-1000 emp.)

5/17/2023

"Great product for all your database solution."

4.5/5

What do you like best about Orange?

It is the best alternative for database management and analysis without even coding. Orange makes Machine learning easy, and non-coders can quickly train and test their models. If you know how Machine learning works and have a workflow in your mind, but can't proceed because you are into coding, then Orange is the perfect solution for you. Review collected by and hosted on G2.com.

What do you dislike about Orange?

A smooth interface is missing in orange. The user interface can be better on Orange; the text size is less in my last version. Also, the colour schemas they use in their products can be improved. Review collected by and hosted on G2.com.

Muhammad N.

Master Thesis Student

Small-Business (50 or fewer emp.)

6/16/2023

"Orange Data Mining - Best for Analysis"

5/5

What do you like best about Orange?

Orange is excellent for the analysis of data and topic modeling techniques. Orange data mining is used for semantic analysis and different word analyses. It is best to take separate analyses for the dataset. Review collected by and hosted on G2.com.

What do you dislike about Orange?

Steep learning curve

Limited documentation

Memory usage

Limited advanced analytics capabilities

Limited scalability

This could be better if it had some excellent guidelines for the freshers. Review collected by and hosted on G2.com.

Jose E.

Small-Business (50 or fewer emp.)

5/11/2023

"A good free analytical tool"

3.5/5

What do you like best about Orange?

I appreciate the versatility of Orange Analytics, as it supports a wide range of data analysis tasks, including data preprocessing, feature selection, clustering, classification, regression, and more. This flexibility allows users to address various analytical challenges within a single tool Review collected by and hosted on G2.com.

What do you dislike about Orange?

While Orange Analytics aims to provide a user-friendly interface, some users may find that there is still a learning curve involved, especially if they are new to data analysis or visual programming. Understanding how to effectively use the tool and make the most of its features may require some initial investment of time and effort. Review collected by and hosted on G2.com.

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

Orange Analytics excels in exploratory data analysis, allowing users to interactively visualize and explore their data. Its interactive visualizations enable users to identify patterns, correlations, and outliers, fostering a deeper understanding of the data and aiding in the formulation of hypotheses. Review collected by and hosted on G2.com.

Ruqaiya A.

STEAM Specialist

Small-Business (50 or fewer emp.)

4/25/2023

"Good for kids to learn about data analytics"

4.5/5

What do you like best about Orange?

Its a good tool to use for kids. It uses a block diagram method to show data analytics. It also has public databases like Iris for studying purposes. You can also make your own databases. There are different operations that can be performed including machine learning algorithms. Review collected by and hosted on G2.com.

What do you dislike about Orange?

If the algorithm you want to use is not applicable on the data set, it does not give very meaningful error messages. I wish it would explain the problem better and propose a solution too. Review collected by and hosted on G2.com.

Amit M.

Mid-Market (51-1000 emp.)

5/25/2023

"Great source of machine learning and Data visualization."

3.5/5

What do you like best about Orange?

Mostly I liked this is the open-source which helps in machine learning and Data visualization. I'm using for last few days but happy with it Review collected by and hosted on G2.com.

What do you dislike about Orange?

Nothing much I am just using it since last someday.. Review collected by and hosted on G2.com.

Eduardo H.

Small-Business (50 or fewer emp.)

5/22/2023

"Powerfull and friendly tool"

3.5/5

What do you like best about Orange?

The interface is user-friendly, which makes it easy for beginners to use (especially at a basic level with basic features). I also like the massive array of data analysis techniques and options it gives. Review collected by and hosted on G2.com.

What do you dislike about Orange?

There is little documentation to learn how to use it at an advanced level. Also, it depends a lot on python's external libraries. Review collected by and hosted on G2.com.