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Forte

Forte is an open-source Python framework for composing modular machine-learning components into workflows. Its DataPack structure represents unstructured inputs, including text, audio and images, together with annotations, while a customizable ontology supports domain-specific data.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Forte — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Forte when a workflow needs reusable processing stages and a standardized representation for unstructured data and its annotations.

Who it is for

  • Developers composing reusable machine-learning processing components.
  • Teams building data-centric natural-language-processing workflows.
  • Practitioners working with unstructured inputs and associated annotations.

Documented uses

  • Connect processors into a machine-learning pipeline.
  • Represent source data and annotations in a shared DataPack.
  • Build NLP workflows that tokenize text and add part-of-speech tags.
  • Add domain-specific types through a customizable ontology.
Before you choose

Requirements & limits

The repository identifies Forte as open source under the Apache-2.0 license.

  • Forte provides the pipeline and DataPack structure; processor capabilities can rely on other libraries.
  • The documented NLP example requires the spaCy wrapper in addition to Forte.
  • Optional features, including information retrieval and audio support, have separate package extras.

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

Install Forte and its spaCy wrapper

Prepare the packages named as prerequisites for the documented NLP pipeline example.

Before you start

  • Python package installation using pip.

Steps

  1. Install the Forte package with the command below.

    Documented command
    pip install forte

  2. Install the spaCy wrapper with the command below.

    Documented command
    pip install forte.spacy

Expected outcome

The core Forte package and the spaCy wrapper required by the README's NLP pipeline example are installed.

Guide limitations

  • This covers installation only; running the example also requires its code and the dependencies used by its NLTK processor.
  • Optional Forte capabilities may require additional extras.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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16 October 2026
Original website title
asyml/forte · Official homepage title · retained in its source language
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