Hello,
I am working on an agent-based simulation in Streamlit, and the model runs extremely slow. I am looking for solutions such as calling API or using external resources. Still, no luck so far! So now I am open to explore any alternative solutions form the streamlit community.
Btw, the simulation that I am working on is dealing with approx 60,000 agents, and the clock cycle is hourly.
Hi @Chaitawat
Perhaps the streamlit-profiler might be of use to help you optimize your code:
Alternatively, if this is a computation intensive task, it may be worth to have the simulation live on an external cloud server and interface with that via API call as you had mentioned. It’s because the Community Cloud computer resource is provided 1 GB memory (StreamlitCloud Computer Specs).
Please have a look at the following blog by @asehmi for some ideas on accessing a remote API from within a Streamlit app.
Best regards,
Chanin
This topic was automatically closed 180 days after the last reply. New replies are no longer allowed.
These cookies are necessary for the website to function and cannot be switched off. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us understand how visitors move around the site and which pages are most frequently visited.
These cookies are used to record your choices and settings, maintain your preferences over time and recognize you when you return to our website. These cookies help us to personalize our content for you and remember your preferences.
These cookies may be deployed to our site by our advertising partners to build a profile of your interest and provide you with content that is relevant to you, including showing you relevant ads on other websites.