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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
| Date | Stars |
|---|---|
| 2026-07-24 | 3452 |
| 2026-07-25 | 3452 |
| 2026-07-28 | 3453 |
| 2026-07-30 | 3453 |
| 2026-08-06 | 3453 |
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growth rate 0.00%/day
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<img src="towhee_logo.png#gh-light-mode-only" width="60%"/>
<img src="assets/towhee_logo_dark.png#gh-dark-mode-only" width="60%"/>
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<p style="text-align: center;"> <span style="font-weight: bold; font: Arial, sans-serif;">x</span>2vec, Towhee is all you need! </p>
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<a href="README.md" target="_blank">ENGLISH</a> | <a href="README_CN.md">中文文档</a>
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<a href="https://www.apache.org/licenses/LICENSE-2.0">
<img src="https://img.shields.io/badge/license-apache2.0-green?style=flat" alt="license"/>
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<a href="https://github.com/towhee-io/towhee/actions/workflows/pylint.yml">
<img src="https://github.com/towhee-io/towhee/actions/workflows/pylint.yml/badge.svg" alt="github actions"/>
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<img src="https://img.shields.io/codecov/c/github/towhee-io/towhee?style=flat" alt="coverage"/>
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[Towhee](https://towhee.io) is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It is uniquely positioned to extract invaluable insights from diverse unstructured data types, including lengthy text, images, audio and video files. Leveraging the capabilities of generative AI and the SOTA deep learning models, Towhee is capable of transforming this unprocessed data into specific formats such as text, image, or embeddings. These can then be efficiently loaded into an appropriate storage system like a vector database. Developers can initially build an intuitive data processing pipeline prototype with user friendly Pythonic API, then optimize it for production environments.
🎨 Multi Modalities: Towhee is capable of handling a wide range of data types. Whether it's image data, video clips, text, audio files, or even molecular structures, Towhee can process them all.
📃 LLM Pipeline orchestration: Towhee offers flexibility to adapt to different Large Language Models (LLMs). Additionally, it allows for hosting open-source large models locally. Moreover, Towhee provides features like prompt management and knowledge retrieval, making the interaction with these LLMs more efficient and effective.
🎓 Rich Operators: Towhee provides a wide range of ready-to-use state-of-the-art models across five domains: CV, NLP, multimodal, audio, and medical. With over 140 models like BERT and CLIP and rich functionalities like video decoding, audio slicing, frame sampling, and dimensionality reduction, it assists in efficiently building data processing pipelines.
🔌 Prebuilt ETL Pipelines: Towhee offers ready-to-use ETL (Extract, Transform, Load) pipelines for common tasks such as Retrieval-Augmented Generation, Text Image search, and Video copy detection. This means you don't need to be an AI expert to build applications using these features.
⚡️ High performance backend: Leveraging the power of the Triton Inference Server, Towhee can speed up model serving on both CPU and GPU using platforms like TensorRT, Pytorch, and ONNX. Moreover, you can transform your Python pipeline into a high-performance docker container with just a few lines of code, enabling efficient deployment and scaling.
🐍 Pythonic API: Towhee includes a Pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, which makes processing unstructured data as eaExcerpt of 14,716 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c5b4d358e02340bc, topic:llm, topic:transformer
matched fp:c5b4d358e02340bc, topic:computer-vision
matched fp:c5b4d358e02340bc, topic:embeddings