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.
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.
pip install orange3-text
conda install orange3-timeseries
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.
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.
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).
Follow the Loading your data guide or check out the Loading your data YouTube tutorial.
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.
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.
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.
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.
Unfortunately, no. Orange is constantly being updated and maintaining translations would require simply too much investment.
No. Orange is a Python-based software and is as such not compatible with R.
No. There are reasons why we refrain from implementing SMOTE. If you really wish to go ahead with it, you can use Python Script.
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.
Visit Data Science StackExchange and ask the community!
Yes. There is a YouTube channel where you can learn how to use Orange.
There are no online webinars or MOOCs. You can still visit our YouTube channel and learn the basics there.
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
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.
Please submit a contact request and we will respond as soon as we can.
Please submit a contact request to discuss the idea and rates.