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OpenPrompt

github.com

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Spec score 8.1 #8 of 28 in AI Prompt Generators

What it is

OpenPrompt is a free, open-source framework for building prompt-learning pipelines for downstream natural language processing tasks. It brings methods for prompt templating, verbalizing, and optimization into one framework, while allowing users to devise and test their own methods. It can load pretrained language models from Hugging Face Transformers. A PromptModel combines such a model with one or more templates and verbalizers for training and inference. Documented processors cover text classification, entity typing, relation classification, language inference, and conditional generation. Template options include manual, prefix, P-tuning, PTR, and mixed approaches; verbalizer choices include one-to-one, manual, automatic, knowledgeable, PTR, generation, and soft forms. The project provides scripts for downloading benchmark datasets and installation instructions for pip or its GitHub source. Its listed tested requirements are Python 3.8+ and PyTorch 1.8.1+. OpenPrompt is licensed under Apache-2.0 and supports Linux, macOS, Windows, and self-hosted use. The README cautions that some documentation may no longer reflect major project changes.

Spec sheet

Purpose
OpenPrompt is an open-source framework for building prompt-learning pipelines for downstream NLP tasks.Read 7 Oct 2026 · github.com
Intended users
The package metadata lists developers, education, and science or research as intended audiences.Read 7 Oct 2026 · github.com
License
The repository identifies its license as Apache-2.0.Read 7 Oct 2026 · github.com
Founded
2021Read 28 Sep 2026 · github.com
Core components
A PromptModel combines a pretrained language model with one or more templates and verbalizers for training and inference.Read 7 Oct 2026 · github.com
Custom research
The framework is designed to let users develop and experiment with their own prompt-learning methods.Read 7 Oct 2026 · github.com
Datasets
The project provides scripts for downloading benchmark datasets.Read 7 Oct 2026 · github.com
Documentation caveat
The README says some documentation may be outdated following major changes to the project.Read 7 Oct 2026 · github.com
Installation
The README provides pip installation with `pip install openprompt` and instructions to install from the GitHub source.Read 7 Oct 2026 · github.com
Maintainer organization
THUNLP identifies itself as the Natural Language Processing Lab at Tsinghua University in Beijing.Read 7 Oct 2026 · github.com
Model integration
OpenPrompt supports loading pretrained language models from Hugging Face Transformers.Read 7 Oct 2026 · github.com
Prompt methods
It implements prompting methods for templating, verbalizing, and optimization in a unified framework.Read 7 Oct 2026 · github.com
Runtime requirements
The README says the repository is tested on Python 3.8+ and PyTorch 1.8.1+.Read 7 Oct 2026 · github.com
Task support
The documentation lists data processors for text classification, entity typing, relation classification, language inference, and conditional generation.Read 7 Oct 2026 · thunlp.github.io
Template options
The documentation lists manual, prefix, P-tuning, PTR, and mixed templates.Read 7 Oct 2026 · thunlp.github.io
Verbalizer options
The documentation lists one-to-one, manual, automatic, knowledgeable, PTR, generation, and soft verbalizers.Read 7 Oct 2026 · thunlp.github.io

Plans and prices

OpenPrompt Free Open-source prompt-learning framework · Python 3.8+ and PyTorch 1.8.1+ listed as tested requirements Read 7 Oct 2026 · github.com

Every OpenPrompt plan and price →

Strong points and limits

Strong points

  • Free under the Apache-2.0 license
  • Loads pretrained models from Hugging Face Transformers
  • Includes processors for five NLP task types
  • Offers several template and verbalizer approaches
  • Scripts are provided for benchmark dataset downloads

Limits

  • Tested requirements specify Python 3.8+ and PyTorch 1.8.1+
  • Some documentation may be outdated after project changes

Who it suits

It suits developers and researchers building or experimenting with prompt-learning methods for NLP tasks. Its package metadata also lists education as an intended audience.

Verdict

OpenPrompt offers a configurable framework for prompt-learning research and development across several NLP tasks. Readers should account for the README’s warning that some documentation may lag behind project changes.

Where Specifiction places it

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