streamlit-image-coordinates
Streamlit component that displays an image and returns the coordinates when you click on it
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and solves a specific gap in Streamlit's built-in components. Install friction is minimal. It is worth adding if you need interactive image coordinate capture in a Streamlit app; skip it if your workflow does not require click-based image interaction.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and a working Streamlit environment.
- Low friction install with a single runtime dependency on streamlit.
- Actively maintained as of the latest release.
License · maintenance · safety
permissive license (permissive) — MIT License permits unrestricted use, modification, and distribution with only the requirement to include the license notice and copyright.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 297,582 downloads/mo, #7,881 on PyPI
Alternatives
Verify before relying
pip install streamlit-image-coordinates
import streamlit as st
from streamlit_image_coordinates import streamlit_image_coordinates
value = streamlit_image_coordinates("https://placekitten.com/200/300")
st.write(value)- Whether the component works with local file paths in addition to URLs
- What data structure the returned value contains beyond coordinates and timestamp
- Whether the component supports image scaling or zoom interactions
- Performance characteristics with large images or rapid clicks
What it is and what it does
Streamlit-Image-Coordinates is a custom Streamlit component that embeds an interactive image viewer in a Streamlit app. When a user clicks on the displayed image, the component captures and returns the pixel coordinates of the click along with the Unix timestamp of when the click occurred. This is useful for building interactive image annotation, selection, or analysis tools within Streamlit applications.
The package wraps a single runtime dependency on streamlit and is designed to integrate seamlessly into Streamlit workflows. It supports modern Python versions (3.10 through 3.13) and has been actively maintained. The component is distributed as a pure Python wheel with no compiled dependencies, making installation straightforward across platforms.
Use it for
- Build an image annotation tool where users click to mark regions of interest and capture their pixel locations.
- Create an interactive image explorer that logs where users click to identify areas of attention.
- Develop a data labeling interface that records pixel coordinates for training computer vision models.
- Implement a point-and-click interface for selecting features or objects within an image for further analysis.
- Track user interaction patterns by recording click coordinates and timestamps on reference images.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and solves a specific gap in Streamlit's built-in components. Install friction is minimal. It is worth adding if you need interactive image coordinate capture in a Streamlit app; skip it if your workflow does not require click-based image interaction.
Install
streamlit-image-coordinates on PyPI
Before you install
Low friction install with a single runtime dependency on streamlit. Actively maintained as of the latest release.
Requires Python 3.10 or later and a working Streamlit environment.
License in practice
MIT License permits unrestricted use, modification, and distribution with only the requirement to include the license notice and copyright.
Quickstart
pip install streamlit-image-coordinates
import streamlit as st
from streamlit_image_coordinates import streamlit_image_coordinates
value = streamlit_image_coordinates("https://placekitten.com/200/300")
st.write(value)Verify before relying
- Whether the component works with local file paths in addition to URLs
- What data structure the returned value contains beyond coordinates and timestamp
- Whether the component supports image scaling or zoom interactions
- Performance characteristics with large images or rapid clicks
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagestreamlit |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 297,582 / month, #7,881 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Libraries :: Python Modules |
Evidence: streamlit_image_coordinates-0.4.1-py3-none-any.whl
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See also MouseInfo · streamlit-card · streamlit-plotly-events · streamlit-sortables · streamlit-avatar · streamlit-pdf-viewer · streamlit-camera-input-live · streamlit-pdf · streamlit-folium · PyScreeze