Software Alternatives, Accelerators & Startups

Hugging Face VS JJazzLab

Compare Hugging Face VS JJazzLab and see what are their differences

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗

JJazzLab logo JJazzLab

Fed up with boring backing tracks ? Try JJazzLab!
  • Hugging Face Landing page
    Landing page //
    2023-09-19
  • JJazzLab JJazzLab 4
    JJazzLab 4 //
    2023-12-29
  • JJazzLab Drums Transformer & Notes Editor
    Drums Transformer & Notes Editor //
    2023-12-29

JJazzLab is a free and open-source application which automatically generates backing tracks for any song.

You type in chord symbols, select a rhythm (style), then JJazzLab generates a complete backing track with drums, bass, guitar, keyboard, strings, etc. JJazzLab can read Yamaha style files, which gives you access to thousands of free styles.

JJazzLab creates realistic and non-boring backing tracks, which can be easily customized even for complex songs.

JJazzLab

$ Details
free
Platforms
Windows Mac OSX Linux
Release Date
2019 September

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JJazzLab videos

Discover JJazzLab, the free backing track application

Category Popularity

0-100% (relative to Hugging Face and JJazzLab)
AI
100 100%
0% 0
Audio & Music
0 0%
100% 100
Social & Communications
100 100%
0% 0
Music Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Hugging Face and JJazzLab.

What makes your product unique?

JJazzLab's answer:

  • You can start a solo slowly and gradually build up the atmosphere!
  • Realistic, non-boring, and easily customizable backing tracks even for complex songs
  • Free and open-source application with an extensible plugin-based architecture

Why should a person choose your product over its competitors?

JJazzLab's answer:

It's free, it's simple yet powerful and constantly evolving.

How would you describe your primary audience?

JJazzLab's answer:

  • Musicians who want to have fun practicing their instrument
  • Music teachers
  • Developers and researchers who need a platform to easily experiment new music algorithms

What's the story behind your product?

JJazzLab's answer:

As a jazz/funk pianist I have tried most of the auto-accompaniment or backing tracks apps (Band In a Box, etc). They are good indeed and I had some fun at first, but I quickly got frustrated: I missed the intensity dynamics which help develop interesting solos. I was aware that a program will never match a real band, but I had a few ideas how to do better. That’s why I decided to start developing JJazzLab.

Which are the primary technologies used for building your product?

JJazzLab's answer:

Java, Apache Netbeans platform.

Who are some of the biggest customers of your product?

JJazzLab's answer:

  • JJazzLab has more than 25000 individual users across the world

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 262 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.

Hugging Face mentions (262)

  • 100% Free Vector Search with OpenLlama, Postgres, NodeJS and NextJS
    So you want to try out vector search but you don’t want to pay OpenAI, or use Huggingface, and you don’t want to pay a vector database company. I’m here for you. Let’s get vector search going, on your own machine, for free. - Source: dev.to / 5 days ago
  • Deploy the vLLM Inference Engine to Run Large Language Models (LLM) on Koyeb
    Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 11 days ago
  • Leverage AI with Twilio for Hotelier
    This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 13 days ago
  • OpenAI api RAG system with Qdrant
    I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago
  • Generating replies using Huggingface interference and Mistrial in NestJS
    Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 26 days ago
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JJazzLab mentions (0)

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

What are some alternatives?

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

LangChain - Framework for building applications with LLMs through composability

Band-in-a-Box - Band-in-a-Box is so easy to use!

Replika - Your Ai friend

MMA - “MMA—Musical MIDI Accompaniment” is an accompaniment generator.

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

Sibelius - Sibelius is a virtual score creation tool which allows composers to easily create new piano scores, developed by Avid.