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Kite VS Hugging Face

Compare Kite VS Hugging Face and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Kite logo Kite

Kite helps you write code faster by bringing the web's programming knowledge into your editor.

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • Kite Landing page
    Landing page //
    2023-02-10
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Kite videos

+ Add

Ozone Alpha V1 2019 kite review

More videos:

  • Tutorial - Kitesurfing - How to Choose The Right North Kiteboarding Kite - REVIEW
  • Review - 2019 Slingshot RPM | REAL Kite Review

Hugging Face videos

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

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Category Popularity

0-100% (relative to Kite and Hugging Face)

Kite

Hugging Face

Developer Tools
100 100%
Developer Tools
0% 0
Social & Communications
0 0%
Social & Communications
100% 100
Software Development
100 100%
Software Development
0% 0
Chatbots
0 0%
Chatbots
100% 100

User comments

Share your experience with using Kite and Hugging Face. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kite and Hugging Face

Kite Reviews

Top 10 GitHub Copilot Alternatives
Code more quickly. Maintain your flow. Kite empowers developers by integrating AI-powered code completions into their code editor. The kite can be installed to offer AI-powered code completions to all of your code editors.
Source: hashdork.com
Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)
The last solution in our list is worthy of mention because it is one of the more flexible and user-friendly solutions offered for free. Unfortunately, at the time of writing, Kite is unavailable for download and is not maintained.
Source: www.tabnine.com
Tabnine vs Kite 2021: best AI-Powered Auto-Completion tool?
Kite saves the memory f your computer which means it uses very little memory. If we compare the memory usage analysis of both Kite and TabNine we will come to know that TabNine requires almost 4Gb memory for a project of 10-line code. Whereas kite uses only 550 Mb memory for the same project. It implies that Kite uses almost 85% less memory.
Source: ssiddique.info
I tested all intelligent IDEs (2019 edition)
Until now, suggestions were based on the classes/methods referenced in your code but without taking into account the actual usage of those in the code. Latest versions improve this behavior by providing a new type Line-of-Code completions that incorporate context from code you’ve previously written to power smart completions up to a full line of code. Kite claims this...
Source: livablesoftware.com

Hugging Face Reviews

We have no reviews of Hugging Face yet.
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Social recommendations and mentions

Based on our record, Hugging Face seems to be more popular. It has been mentiond 254 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.

Kite mentions (0)

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

Hugging Face mentions (254)

  • Add Vector Search to Your Site
    We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 3 days ago
  • 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 / 10 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 2 months 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
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What are some alternatives?

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

TabNine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.

Replika - Your Ai friend

GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

LangChain - Framework for building applications with LLMs through composability

Visual Studio IntelliCode - Visual Studio IntelliCode is an experimental set of AI-assisted development capabilities for next-generation developer productivity.

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

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