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Ardour VS NumPy

Compare Ardour VS NumPy and see what are their differences

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Ardour logo Ardour

Record, edit, and mix on Linux, Mac OS X, and Windows.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Ardour Landing page
    Landing page //
    2022-12-13
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Ardour videos

What is Ardour?

More videos:

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

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

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

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.

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

NumPy might be a bit more popular than Ardour. We know about 119 links to it since March 2021 and only 110 links to Ardour. 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.

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

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Ardour and NumPy, you can also consider the following products

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.

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

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.

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