streamlit-feedback
Streamlit component that allows you to collect user feedback in your apps
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight feedback widget in a Streamlit app and can accept dormant maintenance. The package is narrow in scope, has no vulnerabilities, and low install friction. However, be aware that no active development or bug fixes are happening—verify compatibility with your Streamlit version before relying on it in production, and consider it a stable-but-unsupported tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Streamlit to be installed and running; the component triggers a page reload on submission, so on_submit callbacks execute on the rerun when the app reaches the streamlit_feedback() call again.
- Low friction: pure Python wheel with only streamlit as a runtime dependency.
- Maintenance is dormant—last release was 578 days ago—so expect no active bug fixes or updates, though the package remains functional for its narrow scope.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions, requiring only attribution.
last release 2025-01-13 (578 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 103,116 downloads/mo, #12,830 on PyPI
Alternatives
Verify before relying
pip install streamlit-feedback
from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="thumbs")
feedback- Whether the component works reliably with current Streamlit versions given the 578-day gap since last release.
- Whether browser compatibility or frontend dependencies have changed since the last release.
What it is and what it does
streamlit-feedback is a Streamlit component that embeds a feedback widget into your app UI. It presents users with a choice of feedback types—thumbs (up/down) or emoji faces (happiness scale)—and optionally collects accompanying text comments. The component returns the user's response as a dictionary containing the feedback type, score, and any text entered.
The widget is designed for quick integration into Streamlit dashboards and data apps where you want to gather user sentiment or satisfaction signals. It depends only on Streamlit itself, making installation straightforward. Note that Streamlit's architecture means the component triggers a page reload when feedback is submitted, so any callback you provide via on_submit will run on the subsequent rerun when your app code reaches the streamlit_feedback() call again.
Use it for
- Collect thumbs-up/down ratings on AI model outputs or search results in a Streamlit dashboard.
- Gather emoji-based satisfaction feedback on data visualizations or reports without requiring users to leave the app.
- Add optional text explanations to feedback (e.g., 'why did you rate this negatively?') for post-hoc analysis.
- Save feedback responses to a database via an on_submit callback for later review and improvement iteration.
- A/B test different features or outputs by collecting user preference signals alongside your app's main functionality.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight feedback widget in a Streamlit app and can accept dormant maintenance.
The package is narrow in scope, has no vulnerabilities, and low install friction. However, be aware that no active development or bug fixes are happening—verify compatibility with your Streamlit version before relying on it in production, and consider it a stable-but-unsupported tool.
Install
streamlit-feedback on PyPI
Before you install
Low friction: pure Python wheel with only streamlit as a runtime dependency. Maintenance is dormant—last release was 578 days ago—so expect no active bug fixes or updates, though the package remains functional for its narrow scope.
Requires Streamlit to be installed and running; the component triggers a page reload on submission, so on_submit callbacks execute on the rerun when the app reaches the streamlit_feedback() call again.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions, requiring only attribution.
Quickstart
pip install streamlit-feedback
from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="thumbs")
feedbackVerify before relying
- Whether the component works reliably with current Streamlit versions given the 578-day gap since last release.
- Whether browser compatibility or frontend dependencies have changed since the last release.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagestreamlit |
| Maintenance | Dormant 578 days since the last release |
| First released | |
| Downloads | 103,116 / month, #12,830 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: streamlit_feedback-0.1.4-py3-none-any.whl
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See also streamlit-pdf · streamlit-vertical-slider · streamlit-antd-components · streamlit-plotly-events · st-annotated-text · streamlit-code-editor · streamlit-autorefresh · streamlit-avatar · streamlit-quill