OpenPrompt vs Promptimal
OpenPrompt
github.comPromptimal
github.comSide by side
| Figure | OpenPrompt | Promptimal |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · AI Prompt Generators | 8.1 (#8) | 6.9 (#23) |
| Installation | The README provides pip installation with `pip install openprompt` and instructions to install from the GitHub source. | The README gives `pipx install promptimal` as the installation command. |
| License | The repository identifies its license as Apache-2.0. | The GitHub repository identifies the project as MIT licensed. |
Plans
In their own words
OpenPrompt
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.