Hey Patrick, Thank you for sharing this information about Streamlit and its approach to accessibility. It’s helpful to see that they have some considerations in place, but it’s a bit concerning that there hasn’t been a response from the Streamlit team since June 2021 on this topic. I’ll explore different options for the GUI in this project. If I decide to try Streamlit, I’ll make sure to share my experience with the group. A friend of mine, who is good at CSS, mentioned that he will use Flask for the GUI. This might be a faster and easier option to implement while meeting the requirement! Congratulations on the new job! Kind regards, Khalid From: Patrick Smyth <patrick@iotaschool.com> Sent: Saturday, May 25, 2024 4:21 PM To: datascience@blindcoders.com Subject: [data-science]Re: Dash vs. Streamlit for GUI Development for a Data Science Project! Hey Khalid, I'd try looking at Streamlet, I found this comment that suggests they do actually think about accessibility: ``` Thanks for the question. We haven’t done an official accessibility assessment. That said, we write our frontend code with accessibility in mind, using a widget component library 31 that is accessible, looking at contrast ratios when designing, etc. But we’re aware this is by all means not enough! That’s why we have a roadmap item to officially assess accessibility and address issues that arise. It’s important to note we don’t control user themes, plotting libraries, and custom components, and a lot of the accessibility of actual apps will fall on users who are writing these apps. --- That's from here: https://discuss.streamlit.io/t/508-compliance-for-streamlit/13579/2 Khalid, I owe you an email, apologies. A new job and baby mean I'm a little underwater. Patrick -- Patrick Smyth, PhD Chief Learner Iota School<https://iotaschool.com/> GitHub<https://github.com/smythp> | Twitter<https://twitter.com/psmyth01> | LinkedIn<https://www.linkedin.com/in/smythp> [https://iotaschool.com/static/images/iota_signature.png] On Wed, May 22, 2024, at 2:16 AM, Khalid K wrote: Marvin , you can: pip install streamlit Or if you're using Anaconda, you can try: conda install -c conda-forge streamlit The same can be done with Dash. Cheers, K From: hunkinmarvin5@gmail.com<mailto:hunkinmarvin5@gmail.com> <hunkinmarvin5@gmail.com<mailto:hunkinmarvin5@gmail.com>> Sent: Wednesday, May 22, 2024 7:05 AM To: 'Khalid K' <kaak42@outlook.com<mailto:kaak42@outlook.com>> Subject: RE: [data-science]Dash vs. Streamlit for GUI Development for a Data Science Project! Hi using jaws 2024. Using visual studio code, python 3.12 and github latest desktop version. Have not used Streamlit. And so a tutorial how to use this would be great and maybe a sampleproject. So then I could then see how accessible it is with a screen reader. So where do I download this and is it a pip install like on the terminal or is it a msi or exe file for windows 11. Have windows 11 pro 64 bit on a hp pavilion 15.6 inch laptop. Running jaws 2024, nvda 2024.1. Marvin from Adelaide, Australia.. From: Khalid K <kaak42@outlook.com<mailto:kaak42@outlook.com>> Sent: Wednesday, May 22, 2024 3:29 PM To: datascience@blindcoders.com<mailto:datascience@blindcoders.com> Subject: [data-science]Dash vs. Streamlit for GUI Development for a Data Science Project! Hi data scientists, I hope this message finds you well. I want to gather some insights on using Dash or Streamlit for GUI development. Specifically, I’m interested in the following: 1. Ease of Use with Screen Readers: Has anyone used Dash or Streamlit with a screen reader? Which one is more accessible and user-friendly? 2. Learning Curve: Which tool requires less time to learn and implement effectively? I have a few sighted friends who speak highly of Streamlit, mentioning its simplicity and ease of deployment –they don’t use screen-readers though! My goal is to develop a GUI interface that can: Generate graphs Allow selection from a list of cryptocurrencies Provide scenarios like predicting next month’s prices if I sell Load results and graphs quickly upon selection Your experiences with either tool would be greatly appreciated. Cheers, Khalid _______________________________________________ Data Science mailing list -- datascience@blindcoders.com<mailto:datascience@blindcoders.com> To unsubscribe send an email to datascience-leave@blindcoders.com<mailto:datascience-leave@blindcoders.com>