GitBook
Docusaurus
Mintlify Writer
ReadMe
Git
Atlassian Bitbucket Server
Confluence
GitKraken
Hugging Face
OpenAI
LangChain
Gemini
Ollama
Eden AI
Civitai
PyTorch
GitBook Hugging FaceNo Hugging Face videos yet. You could help us improve this page by suggesting one.
Based on our record, Hugging Face seems to be a lot more popular than GitBook. While we know about 326 links to Hugging Face, we've tracked only 6 mentions of GitBook. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
GitBook is simple and clean, and sometimes thatโs exactly what you need. I like it for early-stage products or teams with lighter documentation. Youโll eventually hit limits if your structure gets more complex, but if simplicity is your priority, itโs a solid choice. - Source: dev.to / 8 months ago
TL,DR: LaunchDarkly is great for B2C companies. Bucket is for B2B SaaS products, like GitBook โ a modern, AI-integrated documentation platform. - Source: dev.to / over 1 year ago
Addison Schultz, Developer Relations Lead at GitBook, puts it simply:. - Source: dev.to / over 1 year ago
Good question that led to insightful responses. I would like to bring GitBook (https://gitbook.com) too to the comparison notes (no affiliation). They, too, focus on the collaborative, 'similar-to-git-workflow', and versioned approach towards documentation. Happy to see variety in the 'docs' tools area, and really appreciate it being FOSS. Looking forward to trying out Kalmia on some project soon. - Source: Hacker News / almost 2 years ago
You can have both a landing page (e.g.: www.your-project.dev) and a documentation website (e.g.: docs.your-project.dev). For creating documentation website GitBook is better fit than Gitlanding. GitBook is free for open source Projects (you just need to issue a request). - Source: dev.to / over 4 years ago
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / about 1 month ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / about 2 months ago
Apify turned out to be an excellent platform for building multi-agent systems(MAS). It allows seamless integration with modern agentic frameworks like LangGraph, CrewAI, TogetherAI, and Hugging Face. - Source: dev.to / about 2 months ago
The garage is not the network. ComfyUI is a workbench. It does not describe how a workflow assembled in it travels to another workbench, what license attaches to the intermediate frames, or who in a multi-tool pipeline counts as the author of the result. Hugging Face is the closest thing the field has to a shared hub for models and datasets, and is a remarkable piece of community infrastructure, and is also a... - Source: dev.to / 2 months ago
All numbers below are reproducible from public APIs and public repository files: citation metadata, GitHub Code Search, the Hugging Face Hub, and root-level packaging files (requirements.txt, pyproject.toml, etc.) in each OSS repo. The org-scoped grep is org: "import albumentations". - Source: dev.to / 3 months ago
Docusaurus - Easy to maintain open source documentation websites
OpenAI - GPT-3 access without the wait
Mintlify Writer - The AI-powered documentation writer. It's documentation that just appears as you build
LangChain - Framework for building applications with LLMs through composability
ReadMe - A collaborative developer hub for your API or code.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.