# Orange Reviews **Vendor:** Orange **Category:** [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis) **Average Rating:** 4.2/5.0 **Total Reviews:** 33 ## About Orange 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. ## Orange Pros & Cons **What users like:** - Users find Orange to be **incredibly easy to use** , offering a simple and comfortable learning experience in Machine Learning. (1 reviews) - Users find the **ease and comfort of learning** Machine Learning with Orange to be outstanding and aesthetically pleasing. (1 reviews) - Users celebrate the **phenomenal and user-friendly features** of Orange's Machine Learning, making training easy and enjoyable. (1 reviews) ## Orange Reviews ### 1. My Honest Thoughts on Orange **Rating:** 4.5/5.0 stars **Reviewed by:** Emina d. | It, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** March 10, 2026 **What do you like best about Orange?** What I like best about Orange is how fresh and bright it feels — it’s a color that instantly lifts my mood. **What do you dislike about Orange?** What I dislike about Orange is that it can feel a bit too intense sometimes — almost overwhelming if it’s used too much. **What problems is Orange solving and how is that benefiting you?** Orange helps me by making things feel more energetic and easy to notice. It grabs my attention quickly, which is great when I need something to stand out or feel more motivating. ### 2. Anyone can Analyse with Orange **Rating:** 5.0/5.0 stars **Reviewed by:** Raman P. | Partner, Enterprise (> 1000 emp.) **Reviewed Date:** May 22, 2025 **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. **What do you dislike about Orange?** Statistical pieces are little, otherwise it's great **What problems is Orange solving and how is that benefiting you?** Industry related concerns with matter of few clicks. ### 3. Great product for all your database solution. **Rating:** 4.5/5.0 stars **Reviewed by:** Anshu A. | Placement Committee Member, Mid-Market (51-1000 emp.) **Reviewed Date:** May 17, 2023 **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. **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. **What problems is Orange solving and how is that benefiting you?** Data Visualization, Data Mining, Forecasting, and Machine Learning has now become easy for me because of Orange. It is extremely easy to use and works great even in a normal PC. ### 4. Orange Data Mining - Best for Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Muhammad N. | Master Thesis Student, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2023 **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. **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. **What problems is Orange solving and how is that benefiting you?** Orange is making my life easy because I had to do an analysis for my thesis, and it helped me a lot. I can analyze statistical and topic modeling, which will positively impact my thesis. ### 5. A good free analytical tool **Rating:** 3.5/5.0 stars **Reviewed by:** Jose E. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 11, 2023 **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 **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. **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. ### 6. Good for kids to learn about data analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Ruqaiya A. | STEAM Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** April 25, 2023 **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. **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. **What problems is Orange solving and how is that benefiting you?** It helped me in teaching kids about data analytics and machine learning in a graphical block diagram way. ### 7. Great source of machine learning and Data visualization. **Rating:** 3.5/5.0 stars **Reviewed by:** Amit M. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2023 **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 **What do you dislike about Orange?** Nothing much I am just using it since last someday.. **What problems is Orange solving and how is that benefiting you?** Statistic and input corpus helped me a lot like Statistics Create new statistic variables for documents whereas Inputs Corpus: A collection of documents. Statistics is a feature constructor widget that adds simple document statistics to a corpus. ### 8. Powerfull and friendly tool **Rating:** 3.5/5.0 stars **Reviewed by:** Eduardo H. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 22, 2023 **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. **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. **What problems is Orange solving and how is that benefiting you?** Its helping me to analyze vast amount of data for making decisions and doing reports. ### 9. Orange is a Great Software package **Rating:** 4.5/5.0 stars **Reviewed by:** Kathleen M. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 25, 2023 **What do you like best about Orange?** Orange is a great software package that helps our business. **What do you dislike about Orange?** There are some minor items I would like to see added. **What problems is Orange solving and how is that benefiting you?** Orange Software is helping us keep track and form reports about our business. ### 10. Good ML tool **Rating:** 4.0/5.0 stars **Reviewed by:** Praveen K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2023 **What do you like best about Orange?** It's easy to use and can switch to whichever model you need with out writing any code. **What do you dislike about Orange?** Advance analysis is not so easy. Support is not reliable **What problems is Orange solving and how is that benefiting you?** We tried orange software to predict some business problems to find which model to use for classification. ### 11. Nice tool for exploratory data analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** July 05, 2023 **What do you like best about Orange?** Has a nice user interface for doing data analyses GUI with drag-and-drop features ML capabilities **What do you dislike about Orange?** Customization is a bit limited in case you need to scale things up **What problems is Orange solving and how is that benefiting you?** Help analyze the data for quick data analysis tasks ### 12. Very useful to learn and teach Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** dade k. | Data Science Teacher, Tech writer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 21, 2022 **What do you like best about Orange?** Easy to install and use, many tutorials on Youtube, good help **What do you dislike about Orange?** Difficult to get in relation with support team to give suggestions, difficult to build new widgets **What problems is Orange solving and how is that benefiting you?** Orange helps to learn and teach Data Science and to write solutions to Data Science problems. I wrote two books on using Orange to learn Data Science https://www.amazon.it/dp/B0BJBVQSML ### 13. Awesome tool to visualize the Data visualization for ML Apps **Rating:** 4.0/5.0 stars **Reviewed by:** Jahanvi R. | Enterprise Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 26, 2022 **What do you like best about Orange?** I like its interface. it is quite easy to use for experts or mid-level users -- that have sufficient knowledge about ML and Data analytics. The graphics are quite helpful and fun to work with. Colorful UI is quite fun to work with. One gets many options for different algorithms and models. Keeping track of data and processing is easy -- as the interface is well designed and user-friendly. **What do you dislike about Orange?** Too many options were overwhelming at first. In the initial days, when I just started learning ML -- when I saw Orange I was afraid to move further in ML. Too many things that you don't have any idea about could be scary for beginners. **What problems is Orange solving and how is that benefiting you?** while working on AI models, we need to learn the feature of data and process the data. What we do is take a small part of the data and apply all the processes to it. And Orange is useful in this stage. Orange helps us build the process flow and visualize the dataset. ### 14. Intuitive for Data Exploration **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** August 12, 2022 **What do you like best about Orange?** I love the drag-and-drop icons and how easy and intuitive it is to connect each node! The best thing about orange is its ease of use. I think it is more user friendly than something like KNIME. **What do you dislike about Orange?** Orange cannot handle large datasets, especially where ML is involved. It would crash and utilize too much CPU. Orange could be better if it was better optimized and if it would give estimates on when the node would complete its calculations. **What problems is Orange solving and how is that benefiting you?** Orange helps with data exploration and makes it easy to visualize your data sets. It benefits me because I can spend less time on data visualization and more on further interpreting the numbers to my peers. ### 15. Great, open-source statistical analytics tool with powerful visualizations **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** June 28, 2022 **What do you like best about Orange?** What I like best about Orange is that it's open-source and accessible. They provide many YouTube tutorials such as how to upload your data correctly, set up workflows, and interpret charts. This makes it easy to learn and pick up. Orange also enables you to create powerful visualizations that I have used in my research report presentations. **What do you dislike about Orange?** I can't really think of anything I dislike. It's a very solid, easy-to-use, and robust analysis tool. Can't ask for more from an open-source program. **What problems is Orange solving and how is that benefiting you?** Deeper, and more insightful analysis of large datasets. It provides visualizations that enable me to explore and analyze the data from many perspectives. ### 16. Data text mining software **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Small-Business (50 or fewer emp.) **Reviewed Date:** January 14, 2022 **What do you like best about Orange?** Sentiment Analysis was very useful in evaluating the texts in a feedback **What do you dislike about Orange?** No extended support of data visualization **What problems is Orange solving and how is that benefiting you?** Feedbacks have been analyzed for the sentiment ### 17. Large data visual analysis with orange **Rating:** 4.5/5.0 stars **Reviewed by:** Qamar H. | Import officer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 10, 2020 **What do you like best about Orange?** Best easier UI based tool to analyze big data, easier in installation and smooth running. Click to drag data files, outputs and object to get desired outputs, prediction models and forecasting with orange is so precise and step based with a few configuration, Machine learning and data handling is available to proceed with coding and UI steps, Data file, Excel,.csv and sql are supported to get in data. Visuals for data presentation like graphs, scatter, tree are there to take insights of large data. **What do you dislike about Orange?** No definition of errors, even some time data executes with wrong data, no output values. Analyze with live data is not supported. Poor navigation and controls on visuals. **What problems is Orange solving and how is that benefiting you?** Used in forecasting of demand while knowing the patterns and trends of 5 years data, then working more insights on it, hypothesis models testing of data predicted by orange, it’s a great tool. It also helped to get optimum values while meeting all requirements of data of with excel solver by hypothesis testing. ### 18. Visuals of large data and perdiction, Machine learning models with Orange. **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad M. | Compansation & Benefits Officer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 05, 2020 **What do you like best about Orange?** Used in micro/macro level transaction to assess and digitize the AI/Machine learning based automated ERP/Software. Very effective tool to visualize large data, specially in forecasting, planning, and historical events. By setting up data flows we can also get through SPC and hypothesis models. Biased/Unbiased data categories can be determined through machine learning models, Whereas the time management, i.e cycle time, throughput time can be analysed and by prediction modeling man power can be deputed accordingly in human resource. **What do you dislike about Orange?** No such a constraint, except error has no tracing/coding. We have to check all models and working manually. Visualization has less control like zoom and dragging. Visuals are not so interactive like they cant be worked in external editor like Microsoft Power point presentation. **What problems is Orange solving and how is that benefiting you?** In human resource management, analyse the time management and deputation of human resource accordingly, salary trends, vacant position compensations in country and compare with word/ international organizations. hired/fired employees over a period and configuration with SAP, ERP to predict their data in future. Forecasting of finance, compensation based on future projects with the help of prediction/machine learning models performed in orange. Performed hypothesis testing and check the validity of predicted data. ### 19. Machine learning and data visulization with Orange **Rating:** 4.5/5.0 stars **Reviewed by:** Mudssar A. | Asst. Manager Porcurement Quality Control, Small-Business (50 or fewer emp.) **Reviewed Date:** June 30, 2020 **What do you like best about Orange?** A good tool for data visualization, machine learning and prediction models, with a fewer steps large data statistics can be on screen with interactive controls.Its useful specially for large data, because large data is some times is not easy to read, so this tool really help by watching data graphically, like trends, repeatability .Machine learning models can be created and prediction assumed accordingly which may help in AI. **What do you dislike about Orange?** Lesser graphic controls like zoom etc, graphic contents can not be exported out into an editor or presentable format like ppt. No coding for errors, its very difficult to trace the error,can't be worked out with live data. There should be configurable apis which can be connected it to a database. **What problems is Orange solving and how is that benefiting you?** Used it in demand forecasting in supply chain.Created hypithesis and other prediction models to verify automated decision making while using machine learning. Useful tool to analyse demand and supply forecasting. ### 20. Best open source for Data analysis and data mining **Rating:** 4.5/5.0 stars **Reviewed by:** sadam r. | Assistant Manager HR , Enterprise (> 1000 emp.) **Reviewed Date:** July 07, 2020 **What do you like best about Orange?** it is Best open source for Data analysis and data mining and it is free forever. it is easy to use and user friendly. **What do you dislike about Orange?** its installation and configuration is quite bit difficult.its integration with other similar software is limited. **What problems is Orange solving and how is that benefiting you?** i am using orange for large amount of data analyzing. My overall experience with orange is good and it is best open source and it is free for forever ### 21. Graphical portrayal of enormous information with Orange **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad H. | Team Lead CMS ( WordPress & Shopify ), Mid-Market (51-1000 emp.) **Reviewed Date:** July 09, 2020 **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. **What do you dislike about Orange?** not appropriate help, difficult to utilize, blunder are untraceable, invalid information also can be handled in break down. **What problems is Orange solving and how is that benefiting you?** Utilized in repeatable cost acknowledgment, and make the forecast model to identify it next passage, to chop down the expense. Utilized it with exceed expectations solver to decide legitimacy of anticipated models by testing theory tests. Utilized in insights process control. ### 22. orange for data visuals and ML **Rating:** 4.0/5.0 stars **Reviewed by:** Talha A. | Assistant Manager Finance, Small-Business (50 or fewer emp.) **Reviewed Date:** July 25, 2020 **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. **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. **What problems is Orange solving and how is that benefiting you?** Handeled below tacts, expense occuring frequencies and their types in scatter charts, perdiction of future type and arrange forecasting accordingly. Finance planning by handeling all transaction data with machine learning. Expected profitibility on each item by perdiction models. ### 23. Data Analytics & Data Visualization with Orange **Rating:** 4.5/5.0 stars **Reviewed by:** ALI A. | Recruitmnet & Selection Executive, Enterprise (> 1000 emp.) **Reviewed Date:** July 11, 2020 **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. **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. **Recommendations to others considering Orange:** Highly Recommended ! **What problems is Orange solving and how is that benefiting you?** I m using it for data management & dashboards,also it is very effective for forecasting reports. ### 24. Very Useful **Rating:** 4.5/5.0 stars **Reviewed by:** Glen K. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 06, 2020 **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. **What do you dislike about Orange?** Everything is fine but I think Orange should upgrade their server qualities, it is getting slower recently. **Recommendations to others considering Orange:** Even though orange isn't very popular, but it works well and helps me to do my jobs. **What problems is Orange solving and how is that benefiting you?** I use orange to present data for my reporting tasks, it works well and helps me a lot. ### 25. Best Opensource Machine Learning & Data Visualization **Rating:** 4.5/5.0 stars **Reviewed by:** Jahanzeb H. | Deputy Manager HR, Mid-Market (51-1000 emp.) **Reviewed Date:** July 06, 2020 **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 **What do you dislike about Orange?** Configuration was a bit difficult for me and more add-ons can be added **What problems is Orange solving and how is that benefiting you?** I am using it to mining organizational contacts data and it seems to be very effective tool for data visualization and analysis. ### 26. Orange for Data Science **Rating:** 3.5/5.0 stars **Reviewed by:** Zainab P. | Computer Scientist, Research, Mid-Market (51-1000 emp.) **Reviewed Date:** October 24, 2019 **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. **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. **Recommendations to others considering Orange:** I think Orange is a good tool to understand data workflows and play around with the widgets. **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. ### 27. Intuitive Data Science **Rating:** 4.5/5.0 stars **Reviewed by:** Kay W. | Founder and president, Small-Business (50 or fewer emp.) **Reviewed Date:** June 12, 2019 **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! **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. **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. **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. ### 28. Orange Review **Rating:** 4.5/5.0 stars **Reviewed by:** Abhi D. | PHP Developer and Software Tester, Small-Business (50 or fewer emp.) **Reviewed Date:** May 01, 2019 **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. **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. **Recommendations to others considering Orange:** Easy and user friendly to use. **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. ### 29. Sagacious use of Orange Software **Rating:** 4.5/5.0 stars **Reviewed by:** Shivam R. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 06, 2018 **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. **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. **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. **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. ### 30. EEG Data Analysis **Rating:** 2.5/5.0 stars **Reviewed by:** Khadijah A. | Publicity Director, Professional Training & Coaching, Enterprise (> 1000 emp.) **Reviewed Date:** July 10, 2019 **What do you like best about Orange?** It is written in python and quite easy to get familiar with. **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 **Recommendations to others considering Orange:** Know your machine learning basics as well as statistical analysis **What problems is Orange solving and how is that benefiting you?** Orange supports running different kinds of statistical tests and analyzes and creating charts and graphs for the outcomes. ### 31. Great open source learning tools for developing workflows **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Construction | Small-Business (50 or fewer emp.) **Reviewed Date:** September 21, 2018 **What do you like best about Orange?** 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 about Orange?** 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 is Orange solving and how is that benefiting you?** 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. ### 32. Easy to use and great tutorials **Rating:** 3.5/5.0 stars **Reviewed by:** gabi g. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 21, 2018 **What do you like best about Orange?** Great functionality, fairly easy to use, love the tutorial videos **What do you dislike about Orange?** Need more customer service/support.. an outside thred **Recommendations to others considering Orange:** great choice! **What problems is Orange solving and how is that benefiting you?** data mining ### 33. The best data mining and visualization software **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Translation and Localization | Small-Business (50 or fewer emp.) **Reviewed Date:** September 21, 2018 **What do you like best about Orange?** Versatile range of widgets for data visualization, analytics, mining, and other purposes. **What do you dislike about Orange?** Nothing that I particularly dislike about it. **Recommendations to others considering Orange:** Be prepared for a steep learning curve. **What problems is Orange solving and how is that benefiting you?** Cheap way to create visualizations for clients. ## Orange Discussions - [Can we use orange for time series analysis?](https://www.g2.com/discussions/can-we-use-orange-for-time-series-analysis) - 1 comment, 1 upvote - [View Orange pricing details and edition comparison](https://www.g2.com/products/orange/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-03+06%3A49%3A57+-0500&secure%5Bsession_id%5D=b0432c48-8cbc-4eed-b0c2-e87732e6ad0f&secure%5Btoken%5D=78b63f38390b2a558c135dbe70e9e76f00e67428a4913fa071554f2a10e08639&format=llm_user) ## Orange Features **Administration** - Quality Control - Data Sampling - Collaboration **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis **Methodology** - ANOVA Support - Regression - Time Series Analysis **Generative AI** - AI Text Generation - AI Text Summarization ## Top Orange Alternatives - [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) - 4.4/5.0 (81 reviews) - [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) - 4.2/5.0 (893 reviews) - [Posit](https://www.g2.com/products/posit-posit/reviews) - 4.5/5.0 (563 reviews)