
This project is currently under development.
Stave is a fast, lightweight, extensible web-based text annotation and visualization tool designed to support a wide range of data types and NLP tasks. Stave offers the following features:
Stave was originally developed and is actively contributed by Petuum in collaboration with other institutes. A mirror of this repository is maintained by Petuum Open Source.
pip install stave
```bash stave -s start -l -o
This will start the Stave server with example project loaded. `-s` allows Stave to run with all the default configuration. `-l` will load example projects and `-o` will open a browser window. If you want to start Stave as a headless server, simply remove the `-o` flag. You can log in with default user name `admin` and default password `admin`. You can start viewing the projects and some annotations/applications that we have prepared.
Or if you just want to start Stave from scratch, you can:
```bash
stave start
You can still log in with default user name admin and default password admin, which leads you to an empty project page.
At any time, you can still load the example projects:
stave load-samples
After you start the Stave server, a .stave/ folder is automatically created under your home directory ~. It has the following structure:
~/.stave/
---- stave.conf
---- db.sqlite3
---- log
stave.conf holds a json object of configurations.db.sqlite3 is the default database for Stave server.log is the default logging file.You can view or update the configuration by running the subcommand config.
You may follow the prompts to interactively set up the configuration:
stave config -i
For more information, refer to:
stave config -h
To learn more about Stave CLI, run the following command to see the help message:
stave -h
The project is tested on:
Python 3.6+ Django 3.2.4 yarn 1.22.10
cd simple-backendpython command is using python3, or use a virtual env by:python3 -m venv venv create virtual env (skip if already created). venv/bin/activate use virtual envpython -m pip install Django./start-dev.shdb.sqlite3After the server starts, then simply - yarn && yarn start - go to http://127.0.0.1:8000
The default username/password for the demonstration data is admin/admin

$ claude mcp add stave \
-- python -m otcore.mcp_server <graph>