streamlit-aggrid
Streamlit component implementation of ag-grid
Decision gist · record as of 2026-08-14
Yes. Low install friction, permissive MIT license, active maintenance, no known vulnerabilities, and solid popularity make it a safe choice for Streamlit projects needing interactive tables. The solo-developer model carries some risk for critical production use, but the codebase is stable and well-tested as of version 1.2.1.post2.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Streamlit app context; ag-grid enterprise features require a separate license from Ag-Grid.
- Low friction: pure Python wheel with only three runtime dependencies (streamlit, pandas, python-decouple).
- Actively maintained with recent releases; last commit 2026-07-09 and 1294 GitHub stars indicate ongoing support.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open and closed projects with minimal obligations—only attribution required.
last release 2025-12-29 (228 days) · last repo commit 2026-07-09 · 1,294 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 921,988 downloads/mo, #4,715 on PyPI
Alternatives
Verify before relying
pip install streamlit-aggrid
from streamlit_aggrid import AgGrid
import pandas as pd
df = pd.read_csv('data.csv')
AgGrid(df)- Whether all ag-grid 34.3.1 features are fully exposed through the Python API or if some require direct JavaScript configuration.
- Performance characteristics with very large datasets (row count thresholds where rendering or synchronization degrades).
- Compatibility matrix with specific Streamlit versions beyond the general 'active' maintenance signal.
What it is and what it does
streamlit-aggrid wraps ag-grid, a mature web-based data grid library, into a Streamlit component so you can display pandas DataFrames and JSON data as interactive, sortable, filterable tables within Streamlit applications. The grid sends edited data back to Python, allowing you to react to user changes—cell edits, row selections, column reordering—and update other Streamlit widgets in response.
The package handles data serialization between browser and server, supports themes, cell rendering customization, and grid state persistence. It depends on streamlit, pandas, and python-decouple, and is maintained by a solo developer with active bug fixes and feature updates. Recent versions added server-client synchronization control and improved data type handling for edited cells.
Use it for
- Display and allow editing of CSV or database query results directly in a Streamlit dashboard without custom HTML.
- Build interactive data exploration tools where selecting or filtering grid rows triggers updates to charts or metrics.
- Export grid data to Excel or CSV after user-driven filtering or sorting within the app.
- Create admin interfaces or data-entry forms where users edit tabular data and changes are captured by Streamlit.
- Render large pandas DataFrames with built-in pagination and search to avoid overwhelming the browser.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Low install friction, permissive MIT license, active maintenance, no known vulnerabilities, and solid popularity make it a safe choice for Streamlit projects needing interactive tables. The solo-developer model carries some risk for critical production use, but the codebase is stable and well-tested as of version 1.2.1.post2.
Install
streamlit-aggrid on PyPI
Before you install
Low friction: pure Python wheel with only three runtime dependencies (streamlit, pandas, python-decouple). Actively maintained with recent releases; last commit 2026-07-09 and 1294 GitHub stars indicate ongoing support.
Requires Streamlit app context; ag-grid enterprise features require a separate license from Ag-Grid.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open and closed projects with minimal obligations—only attribution required.
Quickstart
pip install streamlit-aggrid
from streamlit_aggrid import AgGrid
import pandas as pd
df = pd.read_csv('data.csv')
AgGrid(df)Verify before relying
- Whether all ag-grid 34.3.1 features are fully exposed through the Python API or if some require direct JavaScript configuration.
- Performance characteristics with very large datasets (row count thresholds where rendering or synchronization degrades).
- Compatibility matrix with specific Streamlit versions beyond the general 'active' maintenance signal.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesstreamlitpandaspython-decouple |
| Maintenance | Actively maintained 228 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 921,988 / month, #4,715 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: streamlit_aggrid-1.2.1.post2-py3-none-any.whl
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See also dash-ag-grid · streamlit-antd-components · streamlit-echarts · streamlit-sortables · streamlit-pdf · pygwalker · reflex-components-dataeditor · streamlit-ace · streamlit-quill · streamlit-plotly-events