Spacy Streamlit: Visualize spaCy model outputs

Understand the project

Practical overview

Use it when a Streamlit app needs an interface for viewing spaCy model outputs, rather than implementing each visualization from scratch.

Display dependency parses and named entities for text analyzed by a spaCy model.
Show text-classification, semantic-similarity, or token-attribute results in a Streamlit app.
Embed a complete visualizer or combine selected components with other Streamlit elements.

Before you choose

The public GitHub repository identifies the package as MIT-licensed open-source software.

The app needs Python, Streamlit, and loadable spaCy models.
The combined visualizer can be configured with selected views; individual components can also be used separately.
The API accepts model package names or paths and supports settings for views, entity labels, token attributes, and similarity comparison texts.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare a small Streamlit app that calls the package’s combined visualizer.

Install the package with the command below.
Documented command
```
pip install spacy-streamlit
```
Download the English model with the command below.
Documented command
```
python -m spacy download en_core_web_sm
```
Create a Python file that imports spacy_streamlit, defines the model name and default text, and calls spacy_streamlit.visualize(models, default_text).
Start the app with streamlit run streamlit_app.py.

A Streamlit app that embeds the spaCy visualizer for the selected model and default text.

The example uses an English model; the guide does not specify setup for other models.
The README setup instructions do not establish deployment configuration.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 15 October 2026
Original website title: explosion/spacy-streamlit · Official homepage title · retained in its source language