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Towhee

Towhee is an open-source Python framework for composing neural-data processing pipelines that transform unstructured text, images, audio and video into outputs such as embeddings. It provides ready-made pipelines and operators as well as a method-chaining API for custom workflows.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Towhee — 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 Towhee when a project needs Python-defined processing stages to turn unstructured data into embeddings or other model outputs, or when a documented pre-built pipeline matches the task.

Who it is for

  • Python developers building machine-learning data-processing workflows.
  • Teams preparing unstructured data for embedding, retrieval or downstream storage.
  • Developers combining model operators and pipeline orchestration across text, image, audio or video inputs.

Documented uses

  • Generate sentence or image embeddings with pre-defined pipelines.
  • Build custom feature-extraction and multimodal retrieval workflows.
  • Prepare video for deduplication or documents for question-answering pipelines.
  • Connect processed data to a storage stage such as a vector database.
Before you choose

Requirements & limits

The repository is public, specifies the Apache-2.0 license, and documents installation through pip. Its getting-started instructions require Python 3.7 or later.

  • The documented package installation is towhee plus towhee.models.
  • Pre-defined pipelines cover sentence embeddings, image embeddings, video deduplication and question answering with documents.
  • Custom pipelines can combine operators; the README example uses CLIP image embeddings and FAISS indexing.
  • The README describes a Triton Inference Server backend for CPU and GPU serving and Python-pipeline conversion into Docker containers.

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 Towhee for Python development

Set up the documented Towhee packages in a Python environment.

Before you start

  • Python 3.7 or later
  • pip

Steps

  1. Install the packages with the command below.

    Documented command
    pip install towhee towhee.models

  2. Consult the repository's getting-started documentation for pre-defined pipeline examples and custom pipeline guidance.

Expected outcome

Towhee and its models package are installed for Python pipeline development.

Guide limitations

  • This setup procedure does not itself configure or run a particular pipeline.
  • The documented installation does not specify additional model, device or storage requirements.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
14 October 2026
Original website title
towhee-io/towhee · Official homepage title · retained in its source language
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