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NumPy VS LMMS

Compare NumPy VS LMMS and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

LMMS logo LMMS

Make music with a free, cross-platform tool
  • NumPy Landing page
    Landing page //
    2023-05-13
  • LMMS Landing page
    Landing page //
    2021-10-06

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.

LMMS features and specs

  • Cost
    LMMS is free and open-source software, making it accessible for anyone without the need for purchasing licenses.
  • Cross-Platform
    LMMS runs on multiple operating systems, including Windows, Mac, and Linux, providing flexibility for users regardless of their platform.
  • User Community
    Being open-source, LMMS has a strong and active user community that contributes to its development and offers support via forums and online resources.
  • Plugins and VST Support
    LMMS supports various plugins and VST instruments, allowing users to extend its functionality with third-party tools.
  • Built-In Instruments and Samples
    LMMS comes with a variety of built-in instruments, effects, and sample libraries, offering immediate resources for music creation.
  • MIDI Compatibility
    LMMS is compatible with MIDI keyboards and controllers, enabling hands-on control and easier music production.

Possible disadvantages of LMMS

  • User Interface
    While functional, the user interface of LMMS may be considered less intuitive and dated compared to other professional DAWs, potentially leading to a steeper learning curve.
  • Stability
    As an open-source project, LMMS may face stability issues or bugs, particularly when using some third-party plugins or VSTs.
  • Limited Advanced Features
    LMMS may lack some advanced features that professional musicians and producers expect, such as more intricate audio manipulation tools and advanced mixing capabilities.
  • Less Industry Adoption
    LMMS is less commonly adopted in the professional music industry compared to other DAWs like Ableton Live, FL Studio, or Logic Pro, which might limit collaboration opportunities.
  • Documentation
    Although there is community support, official documentation and tutorials may not be as comprehensive or professional as those available for commercial DAWs.

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.

Analysis of LMMS

Overall verdict

  • LMMS is considered a good option for those starting out in music production or for individuals looking for a free and capable DAW. While it may not have all the advanced features of some commercial DAWs, its open-source nature and active community support make it a strong contender in the audio production space.

Why this product is good

  • LMMS (Linux MultiMedia Studio) is an open-source digital audio workstation that is popular among music producers for its cost-effectiveness and versatility. It offers a wide range of features, including MIDI support, synthesizers, and a variety of built-in instruments and effects. It is known for its ability to handle complex compositions and for providing a platform for both amateurs and experienced musicians to explore music production. Additionally, it runs on multiple operating systems, including Linux, Windows, and macOS, making it accessible to a broad audience.

Recommended for

    LMMS is recommended for beginners in music production, hobbyists, and anyone looking for a cost-effective solution to create and edit music. It's also suitable for those who prefer open-source software and those interested in experimenting with music production without making a financial investment.

NumPy videos

+ Add

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

LMMS videos

+ Add

Review LMMS 2020 - BEST or WORST for beginners?? Free DAW

More videos:

  • Review - I Tried Making a Beat in LMMS !
  • Review - LMMS 1.2 is FINALLY HERE!

Category Popularity

0-100% (relative to NumPy and LMMS)

NumPy

LMMS

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Audio & Music
0 0%
Audio & Music
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Audio
0 0%
Audio
100% 100

User comments

Share your experience with using NumPy and LMMS. 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 NumPy and LMMS

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.
Source: www.analyticsvidhya.com
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

LMMS Reviews

Best FL Studio Alternatives In 2022
If you’re someone who is looking for a free option and you are familiar with FL Studio, I highly recommend checking out LMMS. While it LMMS doesn’t have every feature FL Studio does, it does offer many of the traditional features.
Source: keyboardkraze.com
Top 10 LMMS Alternatives and Similar Software
The software LMMS is for those who are musically inclined. It helps you create music. We share with you brief details of LMMS alternatives. You can try them out for a new experience of creating music. Coming back to LMMS, the best thing about it is that it’s completely free. Hosted on GitHub, it’s an open-source digital audio workstation (DAW) that works on several operating...
Source: www.winosbite.com
Best LMMS Alternatives 2017
Alternatives to LMMS 2017: LMMS is a free cross-platform alternative to profit making programs like Minor FL Studio icon FLStudio, which permit you to harvest music with your computer. This comprises the creation of tunes and beats, the synthesis and involvement of sounds, and positioning of samples. You can consume fun with your MIDI-keyboard and much extra, all in a...
Source: www.bestreviews2017.com

Social recommendations and mentions

NumPy might be a bit more popular than LMMS. We know about 119 links to it since March 2021 and only 98 links to LMMS. 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.

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 / 5 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 / 9 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

LMMS mentions (98)

  • Arpeggiator Cube
    Have you tried LMMS? It's not my favorite, but being 100% free and self contained (seq, fx, instruments) it's easier to install and get going with it even on an old laptop. https://lmms.io/ https://www.youtube.com/watch?v=W6tEolVz3_4. - Source: Hacker News / 8 months ago
  • Free Quality SoundFonts (Sf2)
    As an (extremely) amateur musician I've had hours of fun with free soundfonts like these and the open source LMMS[0], which was nice and familiar to me since I'd played with pirated copies of FruityLoops (now FL Studio) as a teenager. [0] https://lmms.io/. - Source: Hacker News / about 1 year ago
  • Ask HN: Getting Started with DAW?
    So, I saw the other day the release of the ep-133, and it happens that I want to get started doing that kind of stuff (e.g., creating simple beats). I have zero knowledge about DAW/sampling and music in general (my background is in soft. engineering), so the first thing that I searched on Google is "open source daw" and I found LMMS (https://lmms.io/). I'm going through the documentation right now. Do you know... - Source: Hacker News / over 1 year ago
  • Midi I/O vs USB
    Of course, you need some kind of DAW software in your PC that receives MIDI (from LPK), creates the audio data and sends them to Volt. If you have zero experience with this, start with some kind of simple and self-contained DAW, like e.g. "LMMS" (free download). Later you can graduate to more complex (and expensive) DAWs and separate VST plugins. Source: almost 2 years ago
  • Linux for Video Editing and Photo Editing and Music DJ: Some idea?
    For music making, it kind of depends on what you use normally but LMMS is a decent free DAW. Source: about 2 years ago
View more

What are some alternatives?

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

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

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

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

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

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