ActiveTigger

Spec sheet

Purpose

ActiveTigger is an open-source web tool for collaborative corpus annotation and classification, designed for computational social scientists.Read 14 Nov 2026 · activetigger.com

Support

The site directs users to Discord, the issue tracker, or email for questions and feedback.Read 14 Nov 2026 · activetigger.com

Maker

ActiveTigger is developed by the CSS@IP-Paris team at the CREST research unit, with support from OuestWare.Read 14 Nov 2026 · activetigger.com

Classification

Users can fine-tune and evaluate a BERT classifier, then apply it to the corpus.Read 14 Nov 2026 · activetigger.com

Codebooks

Users can define annotation schemes and guidelines for categories.Read 14 Nov 2026 · activetigger.com

Collaboration

Multiple annotators can work in parallel and compare results; active learning can select the next example.Read 14 Nov 2026 · activetigger.com

Corpus exploration

Users can browse texts, search by keywords, visualize the corpus as a 2D projection, and run topic models.Read 14 Nov 2026 · activetigger.com

Data types

The product handles text and images.Read 14 Nov 2026 · activetigger.com

Exports

Users can download annotations, predictions, fine-tuned models, and project summaries in open formats.Read 14 Nov 2026 · activetigger.com

Installation

The source code is described as Python/React and ships with a Docker setup.Read 14 Nov 2026 · activetigger.com

Privacy and deployment

The open-source product can be run on a user's own infrastructure for sensitive data.Read 14 Nov 2026 · activetigger.com

Python client

The at-cli-client wraps the API for scripts and notebooks.Read 14 Nov 2026 · activetigger.com

Scale and language

The site says it has been tested on corpora of hundreds of thousands of documents and supports multilingual models.Read 14 Nov 2026 · activetigger.com

Test access

A test instance is hosted at CREST, and researchers can request an account.Read 14 Nov 2026 · activetigger.com

Where Specifiction places it

• Active Learning Tools#7 of 167.2