If you’re creating a debugging post, please include the following info:
- Share the link to the public app (deployed on Community Cloud).
- Share the link to your app’s public GitHub repository (including a requirements file).
- Share the full text of the error message (not a screenshot).
- Share the Streamlit and Python versions.
Hit the 403 fair-use limit from failed deployment
1.https://indian-stock-analyzer-mvncq4jfjjr22uvtnvz2yu.streamlit.app/
2.https://github.com/Zoravar31/indian-stock-analyzer
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Huh.
This isn’t supposed to happen.
Please contact support.
Error: Your account has exceeded the fair-use limits and was blocked by the system. If you believe this is a mistake, please contact customer support.
Code: 403
4.Python 3.13
Hey there, thanks for sharing all the details and welcome to the Streamlit community!
The “Error: Your account has exceeded the fair-use limits and was blocked by the system. Code: 403” means your Streamlit Community Cloud account was automatically blocked for exceeding resource or fair-use limits. This can happen due to high memory/CPU/storage usage, rapid deployment attempts, or sometimes a false positive by the system—even if your app didn’t get much traffic or failed to deploy.
To resolve this, you need to open a support ticket and include your GitHub username. The Streamlit team will review your case and help unblock your account if appropriate. You can find the step-by-step process in the official docs: Login attempt to Streamlit Community Cloud fails with error 403. If you’d like help optimizing your app to avoid future blocks, please share a minimum reproducible example or your repo link (which you already did—thanks!). Community members, feel free to jump in with your experiences or tips!
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