---
id: streamlit-aggrid
version: "1.2.1.post2"
license: MIT
license_treatment: permissive
maintenance: active
---

# streamlit-aggrid — Streamlit component implementation of ag-grid

License: permissive · Maintenance: active · Downloads: 922.0K/mo

## 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 above — verify before relying.

Embeds ag-grid, a feature-rich data grid component, into Streamlit applications to display and interact with tabular data with sorting, filtering, editing, and export capabilities.

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

pip install streamlit-aggrid
uv add streamlit-aggrid
poetry add streamlit-aggrid

## Installing streamlit-aggrid

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.

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)

Requires Streamlit app context; ag-grid enterprise features require a separate license from Ag-Grid.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 922.0K/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

streamlit data grid component, ag-grid for streamlit, interactive table widget, pandas dataframe display, editable grid streamlit, data table with filtering, spreadsheet-like interface, streamlit-component, data-visualization, interactive-tables

[View on SkillFed](https://skillfed.io/packages/streamlit-aggrid) · [View on PyPI](https://pypi.org/project/streamlit-aggrid/)