OpenPrompt vs PromptForge
OpenPrompt
github.comPromptForge
app.prompt-forge.ioSide by side
| Figure | OpenPrompt | PromptForge |
|---|---|---|
| Price from | Free | $29/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · AI Prompt Generators | 8.1 (#8) | 8.1 (#9) |
| Purpose | OpenPrompt is an open-source framework for building prompt-learning pipelines for downstream NLP tasks. | PromptForge builds multimodal prompts, batch-tests them on datasets, gates releases on pass rate, and deploys versioned prompts. |
Plans
PromptForge
- FreeFree
- Pro$29 a month
- TeamPriced on request
- EnterprisePriced on request
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.
PromptForge
PromptForge is a web and API platform for building, testing and deploying multimodal prompts. Its workbench includes chat, image and video, speech, transcription and embeddings modes, with a model catalog, streaming previews and version history. Teams can batch-test prompts on datasets using evaluators, A/B tests and scheduled regression runs. Release gates enforce a configured pass-rate threshold through the app, APIs or CLI tools, including GitHub Actions. Versioned deployments offer environment pins, invoke URLs, optional schedule guards and API keys. A visual builder links prompt steps, HTTP calls and logic into versioned flows. Production and test logs provide cost, latency and quality signals. The media library stores uploaded and generated images, video and audio with metadata, bulk actions and links to prompts. BYOK connections support providers including OpenAI, Anthropic and Google. The free plan is free for one user, three projects, 200 test runs monthly and 1 GB storage.