Has a nice user interface for doing data analyses

GUI with drag-and-drop features

ML capabilities Review collected by and hosted on G2.com.

Customization is a bit limited in case you need to scale things up Review collected by and hosted on G2.com.

Easy to install and use, many tutorials on Youtube, good help Review collected by and hosted on G2.com.

Difficult to get in relation with support team to give suggestions, difficult to build new widgets Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Sentiment Analysis was very useful in evaluating the texts in a feedback Review collected by and hosted on G2.com.

No extended support of data visualization Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

it is Best open source for Data analysis and data mining and it is free forever.

it is easy to use and user friendly. Review collected by and hosted on G2.com.

its installation and configuration is quite bit difficult.its integration with other similar software is limited. Review collected by and hosted on G2.com.