linalgo 0.1.6

W3C Data Annotation for Natual Language Processing and Machine Leaning in Python.

Linalgo W3C Web Annotation Library

Linalgo is a Python module to help Machine Learning team create and curate datasets for Natural Language Processing. It tries to follow the W3C Web Annotation Data Model and to provides a powerful system to add metadata to most commonly used text and image formats: TXT, PDF, HTML, etc.

Documentation

The documentation is available at https://linalgo.github.io/linalgo

Installation

Basic installation:

pip install linalgo

To use the annotation server functionality:

pip install "linalgo[hub]"

Linalgo CLI

Linalgo provides a command-line interface to interact with the annotation server (linhub) and manage your configuration.

Getting Started

Initialize your environment with interactive prompts:

linalgo init

This will:

• Set up your username and organization
• Configure the server URL
• Initialize a local server if using localhost
• Log you in and save your authentication token

Authentication

Log in to the Linalgo hub and save your authentication token:

linalgo login

Configuration Management

Manage your configuration settings:

linalgo config show            # Show all configuration values
linalgo config get <key>       # Get a specific configuration value
linalgo config set <key> <value>  # Set a configuration value
linalgo config load [env_file]    # Load configuration from .env file

Interacting with the Hub

Pass commands directly to linhub:

linalgo hub <command>

For example, to start the annotation server:

linalgo hub runserver

Running the Annotation Server

After installing with the hub extras, you can run a local annotation server using:

linalgo hub runserver

This will start a local Django server that you can use for annotation tasks.

Test

pytest

Storing Annotation Data

By default, linalgo stores annotations on a dedicated hub at https://hub.linalgo.com. There are also connectors to retrieve data from Google BigQuery.