spaCy Project Templates: Build Repeatable NLP Pipelines

Understand the project

Practical overview

When it fits

Use it when you want a reusable starting point for an NLP project whose data, training, packaging or related workflow can be defined in a project template.

Who it is for

Developers creating custom NLP pipelines for specific domains or use cases.
Teams that want repeatable project workflows for training, packaging and sharing outputs.
Practitioners exploring documented NLP integrations, tutorials or benchmark workflows.

Documented uses

Adapt a project template to a particular NLP use case.
Load project data and train a custom pipeline.
Package a trained pipeline as a Python package.
Fetch assets and run individual commands or ordered project workflows through a CLI.
Upload outputs to remote storage and share results with a team.

Before you choose

Requirements & limits

The repository is public and MIT-licensed. Projects are used through the Weasel CLI or the spaCy project alias; templates require Weasel, included by default with spaCy v3.7 according to the README.

Weasel is required; the README recommends a fresh virtual environment and documents pip and conda installation.
Templates declare their assets and commands in project.yml, and individual templates may have their own requirements.
Repository categories distinguish pipeline training, end-to-end tutorials, integrations, benchmarks and experimental workflows.
Experimental templates are identified as experimental and are presented for use at the reader’s own risk.

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

Clone and run a project template

Start from a repository template, install its requirements, fetch defined assets and run a documented project command or workflow.

Before you start

Python environment; the README recommends a fresh virtual environment.
Weasel, or spaCy v3.7+ with Weasel included by default.
A chosen project template and its listed requirements.

Steps

Clone a template with the command below.
Documented command
```
python -m weasel clone tutorials/ner_fashion_brands
```
Enter the cloned directory and install its requirements with the command below.
Documented command
```
python -m pip install -r requirements.txt
```
Fetch assets declared in project.yml with the command below.
Documented command
```
python -m weasel assets
```
Run a defined command such as the command below, or run the ordered workflow with the command below.
Documented command
```
python -m weasel run preprocess
```
Documented command
```
python -m weasel run all
```
Adjust the template, data, settings and model for the intended use case.

Expected outcome

A template’s declared command or workflow can be run through Weasel, providing a starting point for an adapted NLP project.

Guide limitations

Project requirements and assets vary by template.
The guide documents running workflows but does not guarantee that a particular template will suit a specific dataset or environment.

Documentation 1 ↗

Evidence and transparency

Sources & review

Official repository ↗

Source record details

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

How we review sources Suggest a correction

spaCy Project Templates