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Troubleshooting

I am having trouble installing Orange.

Make sure you are downloading the latest version. You can also try to download a standalone installer or Anaconda distribution.

Still no luck? Check our issue tracker for similar issues or report a new one.

I am having trouble installing an add-on.

Make sure you are using the latest version of Orange. Encountering issues, please raise them on the relevant add-on's issue tracker. Alternatively, you can try with Anaconda distribution and install the add-on in the terminal. You can use pip or conda to install a package directly.
E.g.:

pip install orange3-text
conda install orange3-timeseries

I get an error when using Orange.

First, make sure you are using the latest version of Orange. If this doesn’t fix the issue, you should be able to see an error window pop up, prompting you to submit the issue to the developers. Please use this option as it allows us to recreate the issue and fix it. If this is not possible, please report the issue to our issue tracker.

I believe there's a bug in Orange.

First, make sure you are using the latest version of Orange. If the bug is still present, please submit an issue to our issue tracker. Follow the template and describe the issue as well as possible. Before submitting a new issue, check if someone has already reported the same problem. Upvote the issue with a +1 and/or add your comment. Only consider opening a new issue if you cannot find a corresponding existing open or closed issue.

About Orange

What types of data does Orange support?

Core Orange supports Excel, comma- and tab-delimited files (.xlsx, .csv, .tab). It also reads online data, such as Google Spreadsheets. SQL widget supports PostgreSQL and MSSQL databases.

Add-ons can load additional formats. For example, Orange3-ImageAnalytics add-on can import images (.jpg, .tiff, .png) and Orange3-Text add-on can import text files (.txt, .docx, .pdf).

How can I load my data in Orange?

Follow the Loading your data guide or check out the Loading your data YouTube tutorial.

I want to use Orange on big data.

Orange provides the SQL widget, which samples data instances and enables exploratory data analysis on large datasets. You need psycopg2 module installed to be able to see the widget. Go to Options - Add-ons, select Add more..., then enter the name of the pip package. It is psycopg2 command for Windows and psycopg2-binary for OSX. Alternatively, you can install it directly in your Python environment with pip install psycopg2. You can also use 2UDA package for easier installation. Please note that Orange supports only PostgreSQL and MSSQL databases for now.

How do I add comments/annotations to my workflows?

There is an option in the lower left corner of the canvas. The "T" icon adds text comments, while the arrow icon adds an arrow. To change text size, press and hold the down arrow in the upper right corner of the text icon. To change the arrow color, press and hold the down arrow in the upper right corner of the arrow icon.

How safe is my data?

Orange does not store any data. It is a locally installed software that can be used without internet connection. The only exceptions are embedding widgets, which send data to the server, compute and return the result. The data is never stored on the server.

Can I export Orange workflow as a Python script?

Unfortunately, no. We've debated this long and hard. A (limited) functionality of this type would probably be possible, but would be a very big project to do well and would cost more than the expected benefits.

Is Orange available in other languages?

Unfortunately, no. Orange is constantly being updated and maintaining translations would require simply too much investment.

Does Orange work with R?

No. Orange is a Python-based software and is as such not compatible with R.

Does Orange have oversampling, such as SMOTE?

No. There are reasons why we refrain from implementing SMOTE. If you really wish to go ahead with it, you can use Python Script.

Education

I would like to learn how to use Orange. Where can I find the resources?

Widget documentation is available on our website. You can also access the same documentation directly from Orange by selecting the widget and pressing F1. We also provide an e-mail course (subscribe here), beginner-level YouTube tutorials and a regularly updated blog.

I have a question concerning data mining, statistics and machine learning algorithms.

Visit Data Science StackExchange and ask the community!

Does Orange have tutorials?

Yes. There is a YouTube channel where you can learn how to use Orange.

Is there an online training?

There are no online webinars or MOOCs. You can still visit our YouTube channel and learn the basics there.

How to teach with Orange?

We are preparing materials that will show you how to teach with Orange. Stayed tuned for details!
In the meantime, see some examples on our blog.

Development and collaboration

There’s a feature I wish to see in Orange.

Please submit a pull request with the feature. We welcome all contributions! Once you've made a PR, developer(s) will leave comments and when everything is fixed and tested, the pull request will be merged into Orange. See our widget development documentation for more information.

If you are not a developer, you can submit a feature request to our issue tracker. Describe what you wish to see in Orange and, if possible, provide a visual example. Before submitting a new feature request, check if someone has already requested the same feature. Upvote the request with a +1 and/or add your comment. Only consider opening a new request if you cannot find a corresponding existing request.

I wish to propose a collaboration and/or a project with the Orange team.

Please submit a contact request and we will respond as soon as we can.

I wish to develop a widget / an add-on for Orange.

We are always happy to receive contributions! Development documentation for widgets and add-ons is available on the web. Next, submit a pull request and our team will review it. If you have specific questions, use Discord for direct communication with the developers.

I wish to commission a custom module and/or an add-on for Orange.

Please submit a contact request to discuss the idea and rates.

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    Interval Sliders
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    Single-sample GSEA is now in Orange
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    Cox regression in Orange
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