Software Alternatives, Accelerators & Startups

MagicPattern VS Hugging Face

Compare MagicPattern VS Hugging Face and see what are their differences

MagicPattern logo MagicPattern

The best design toolbox with 10+ tools for anyone

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • MagicPattern Landing page
    Landing page //
    2021-09-03

A design toolbox that helps non-designers create beautiful graphics for their work and pro designers speed up their design process.

  • Hugging Face Landing page
    Landing page //
    2023-09-19

MagicPattern

$ Details
freemium $15.0 / Monthly (Access to all the 10+ design tools)
Platforms
Web Browser Google Chrome
Release Date
2020 August

MagicPattern features and specs

  • Design Tools: 10+
  • Downloads: Unlimited

Hugging Face features and specs

No features have been listed yet.

MagicPattern videos

Demo for the Geometric Pattern Generator

Hugging Face videos

No Hugging Face videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to MagicPattern and Hugging Face)
Design Tools
100 100%
0% 0
Social & Communications
0 0%
100% 100
Productivity
50 50%
50% 50
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be more popular. It has been mentiond 253 times since March 2021. 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.

MagicPattern mentions (0)

We have not tracked any mentions of MagicPattern yet. Tracking of MagicPattern recommendations started around Mar 2021.

Hugging Face mentions (253)

  • How to run any LLM model with Hugging-Face 🤗
    Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 6 days ago
  • Chat with your Github Repo using llama_index and chainlit
    HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 1 month ago
  • AI enthusiasm - episode #1🚀
    The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago
  • Hosting Your Own AI Chatbot on Android Devices
    Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 2 months ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
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What are some alternatives?

When comparing MagicPattern and Hugging Face, you can also consider the following products

PatternPad - Create beautiful geometric patterns

Replika - Your Ai friend

Hero Patterns - A collection of repeatable SVG background patterns

LangChain - Framework for building applications with LLMs through composability

Creatica App - Create stunning backgrounds with Creatica, your go-to design tool for unique and dynamic designs. Perfect for web designers, graphic artists, and creative minds.

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.