--- id: thinc version: "9.1.1" license: MIT license_treatment: permissive maintenance: active --- # thinc — A refreshing functional take on deep learning, compatible with your favorite libraries License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI ## Install pip install thinc uv add thinc poetry add thinc ## Description # Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries ### From the makers of [spaCy](https://spacy.io) and [Prodigy](https://prodi.gy) [Thinc](https://thinc.ai) is a **lightweight deep learning library** that offers an elegant, type-checked, functional-programming API for **composing models**, with support for layers defined in other frameworks such as **PyTorch, TensorFlow and MXNet**. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both [spaCy](https://spacy.io) and [Prodigy](https://prodi.gy). We wrote the new version to let users **compose, configure and deploy custom models** built with their favorite framework. [![tests](https://github.com/explosion/thinc/actions/workflows/tests.yml/badge.svg)](https://github.com/explosion/thinc/actions/workflows/tests.yml) [![Current Release... ## AI interpretation — verify before relying Thinc is a lightweight deep learning library offering a functional-programming API for composing neural network models with type-checking support and interoperability with PyTorch, TensorFlow, and MXNet. Verdict: Thinc is a production-ready, actively maintained deep learning framework well-suited for composing custom models with type safety and framework interoperability. Its MIT license and top-1000 popularity tier reflect broad adoption, particularly within the spaCy ecosystem. Medium install friction is offset by comprehensive wheel support and stable maintenance; no known security vulnerabilities. [View on SkillFed](https://skillfed.io/packages/thinc) · [View on PyPI](https://pypi.org/project/thinc/)