Software Alternatives, Accelerators & Startups

Scikit-learn VS Ardour

Compare Scikit-learn VS Ardour and see what are their differences

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Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Ardour logo Ardour

Record, edit, and mix on Linux, Mac OS X, and Windows.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Ardour Landing page
    Landing page //
    2022-12-13

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Ardour features and specs

  • Open Source
    Ardour is an open-source digital audio workstation, which means it's free to use and its source code is publicly available for modification and enhancement.
  • Cross-Platform
    It is compatible with Linux, macOS, and Windows, making it accessible for users on different operating systems.
  • Extensive Plugin Support
    Ardour supports a wide range of plugins including LADSPA, LV2, VST, and AU, providing versatility in sound processing and effects.
  • Professional Audio and MIDI Features
    Offers comprehensive tools for recording, editing, and mixing audio and MIDI, suitable for professional audio production environments.
  • Flexible Audio Routing
    Provides advanced and flexible routing options, including the ability to route any track to any other track, bus, or output.

Possible disadvantages of Ardour

  • Steep Learning Curve
    The interface and extensive feature set can be overwhelming for beginners, making it difficult to learn and navigate initially.
  • Performance Issues on Some Systems
    Some users have reported performance issues and bugs, particularly on certain Linux distributions or lower-end hardware.
  • Less Comprehensive Support
    While the community support is strong, official customer support resources are limited compared to commercial DAWs.
  • Subscription Model for Some Features
    Certain advanced features and updates may require a subscription or donation, which might be a drawback for some users looking for a completely free solution.
  • Limited Built-In Instruments
    Compared to other DAWs, Ardour has fewer built-in virtual instruments, potentially necessitating additional plugins for a full production setup.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of Ardour

Overall verdict

  • Yes, Ardour is generally considered a good and reliable DAW. It provides robust features that rival those of some paid DAWs, making it an excellent choice for users who are looking for a cost-effective solution without sacrificing professional-grade tools.

Why this product is good

  • Ardour is a popular open-source digital audio workstation (DAW) that offers a wide range of features for recording, editing, and mixing audio. It is praised for its flexibility and powerful capabilities, which cater to both beginners and experienced audio professionals. Ardour supports a variety of plugins, offers high-quality audio processing, and is available on multiple operating systems, including Windows, macOS, and Linux.

Recommended for

    Ardour is particularly recommended for musicians, audio engineers, producers, and podcasters who need a comprehensive and adaptable audio production platform. It is also a great choice for Linux users looking for a professional DAW, and for anyone interested in using open-source software for their audio projects.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Ardour videos

What is Ardour?

More videos:

  • Review - Ardour Review ENDED
  • Tutorial - Ardour Tutorial - Digital Audio Workstation for Linux

Category Popularity

0-100% (relative to Scikit-learn and Ardour)
Data Science And Machine Learning
Audio & Music
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Audio
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Ardour

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Ardour Reviews

  1. Guto Santana
    · Director at LAS Cons Art EIRELI ·
    Great for the poor man. Still needs A LOT of improvements, specially on midi editing.

    Copy Yes, you can start a project from scratch and end up with a great sounding track using Ardour. Specially if you use mostly audio. For those like me who use both audio and midi editing, it may easily drive you to a real nightmare. The DAW doesn't behave as you would expect. The "share regions" will get you good as you edit one region and it "magically" ruins the original one. Oh, just use copy instead of share, like they say right? Nope. It still bugs you to the bone. So you have to go manually "unlinking" every single region. Some regions may be a single note, for example, and you can miss that. Oh, so I will consolidate all regions before unlinking! Nope, there is not such thing here. Another example: You want to keep only a certain midi note on your midi track, the C3 that is you Drum Kick. You cannot do it, unless if you go deleting every single other note, one by one! Terrible isn't it? No, you cannot copy a single note through the entire track. Sometimes I managed to select a note through the track and delete it. So I took note how I did it and... Next time it's a negative! With so many different selections of tools, smart, playhead, etc, it appears the DAW confuses itself and do not respond appropriately. So... my advice to you is not to fall for what I did, which is believing Ardour can do everything it says it does, cause it doesn't. Keep simple with audio recording and editing. Do your midi stuff elsewhere and run from the nightmare I got myself into. Nevertheless, it is great cost/benefit DAW. Worthy a try. Yes, you can start a project from scratch and end up with a great sounding track using Ardour. Specially if you use mostly audio. For those like me who use both audio and MIDI editing, it may easily drive you into a real nightmare. The DAW doesn't behave as you would expect. The "share regions" will get you good as you edit one region and it "magically" ruins the original one. Oh, just use copy instead of share, like they say right? Nope. It still bugs you to the bone. So you have to go manually "unlinking" every single region. Some regions may be a single note, for example, and you can miss that. Oh, so I will consolidate all regions before unlinking! Nope, there is not such thing here. Another example: You want to keep only a certain midi note on your midi track, the C3 that is you Drum Kick. You cannot do it, unless if you go deleting every single other note, one by one! Terrible isn't it? No, you cannot copy a single note through the entire track. Sometimes I managed to select a note through the track and delete it. So I took note how I did it and... Next time it's a negative! With so many different selections of tools, smart, playhead, etc, it appears the DAW confuses itself and do not respond appropriately. So... my advice to you is not to fall for what I did, which is believing Ardour can do everything it says it does, cause it doesn't. Keep simple with audio recording and editing. Do your midi stuff elsewhere and run from the nightmare I got myself into. Nevertheless, it is great cost/benefit DAW. Worthy a try.


Top 18 Free Music Making Software for Beginners [2023]
Ardour is an open-source DAW designed to help music-makers make pro-level music by offering robust tools for recording, editing, and mixing songs on Windows, macOS, or Linux PCs.
5 PRO TOOLS ALTERNATIVES FOR RECORDING AND MIXING AUDIO
Ardour is a free and open-source DAW with capabilities similar to Pro Tools. It was designed for audio professionals, but it can be used by any musician or producer who wants to create professional-quality recordings. Ardour has a traditional track recorder layout with timecode and multi-track editing. It also includes a powerful mixer, effects processors, and recording tools.
10 Best Audacity Alternatives for Audio Recording and Editing
It offers a feature to see your recording wave while letting you adjust and monitor the input gains for clear and clean recordings. Ardour presents a huge editing platform with editing tools like trim, cut, swing and transpose, etc. so that you can easily mix your tracks with the tools like a fader, mute and automate, etc.
Top 10 LMMS Alternatives and Similar Software
Ardour is a very capable alternative for LMMS. Ardour is a bit complicated to use. That’s why it’s recommended only for those who have prior professional experience of editing and mixing music. If you’re an audio engineer, you’ll love Ardour for recording a piece of music and then editing and mixing it. It comes with some recently added features-
Best LMMS Alternatives 2017
This LMMS alternative is a hard disk recorder as well as digital audio workplace application. It turns on GNU/Linux and Mac OS X. Ardour’s purpose is to provide digital audio workplace software suitable for proficient use. Ardour source code is freely accessible but pre-built binaries are profitable free-libre software.

Social recommendations and mentions

Based on our record, Ardour should be more popular than Scikit-learn. It has been mentiond 110 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.

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / about 1 year ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / over 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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Ardour mentions (110)

  • Ask HN: Is There a Blender for Music?
    Effects you can hear. [0] https://ardour.org/ [1[ https://cybershow.uk/. - Source: Hacker News / over 1 year ago
  • What Is the Future of the DAW?
    I'm the lead author of Ardour [0], and I'd very much like to hear more about your frustrations, since over the next 1-2 years, paying attention to non-European musical culture is one of the things I hope to focus on during development. You can reach me via the email address in my profile, or maybe use our forums at discourse.ardour.org. Thanks. [0] https://ardour.org/ <= a cross-platform open source DAW that has... - Source: Hacker News / over 1 year ago
  • Red Blob Games: Interactive visual explanations of math and algorithms
    One extra detail, something I've learned from 20 years of working on dragging all kinds of objects around the GUI of Ardour [0]: handle ALL button press and release events as drag events where there is no movement. [0] https://ardour.org/. - Source: Hacker News / over 1 year ago
  • Absolute beginner seeking advice
    I am aware of the 'Real Tone Cable' however I am curious if this is what I should be buying if I also intend on recording my playing in a software such as 'Ardour'. Source: almost 2 years ago
  • How to map multiple samples with linux-sampler?
    I just loaded an instance of samplv https://samplv1.sourceforge.io/ into the Digital Audio Workstation (DAW), Ardour https://ardour.org/ . Source: almost 2 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Ardour, you can also consider the following products

OpenCV - OpenCV is the world's biggest computer vision library

LMMS - Make music with a free, cross-platform tool

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Audacity - Audacity is a free and open-source audio production software suite that includes a surprising array of editing tools and recording systems.

NumPy - NumPy is the fundamental package for scientific computing with Python

Reaper - Reaper is a focused digital audio workstation (DAW) developed by Cockos. In the creation of the software, the digital audio technology company intended to make audio editing accessible to the masses.