Software Alternatives, Accelerators & Startups
Register | Login

NumPy VS SelfControl

Compare NumPy VS SelfControl and see what are their differences

Making Today
Making Today: Stay Organized, Work Faster. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

SelfControl logo SelfControl

V2 updates! - Custom time interval for distraction free mode - Ability to turn off ' always on' mode - Improved UI -- Self Control -- A simple app to keep you focused online by blocking sites that you spend way too much time on.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • SelfControl Landing page
    Landing page //
    2023-06-19

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.

SelfControl features and specs

  • Effective Website Blocking
    SelfControl blocks access to distracting websites based on a customizable blocklist, helping users stay focused.
  • Timer Functionality
    Users can set a timer for how long they want websites to remain blocked, ensuring focused work periods without distraction.
  • Free to Use
    SelfControl is open-source and free to download and use, making it accessible to anyone without financial barriers.
  • Easy to Use
    The interface is straightforward and user-friendly, allowing users to quickly set their preferences and get started.

Possible disadvantages of SelfControl

  • Mac-Only
    SelfControl is only available for macOS, excluding Windows and Linux users from using the application.
  • No Undo Option
    Once the block period is set and started, it cannot be undone even by restarting the computer, which could be an issue if access to blocked sites is needed unexpectedly.
  • Limited Feature Set
    The app primarily focuses on website blocking, lacking additional productivity tools or features like app blocking or usage analytics.
  • No Scheduled Blocking
    SelfControl does not offer the ability to schedule block sessions in advance, meaning users must manually start each session.

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 SelfControl

Overall verdict

  • Overall, SelfControl is a highly recommended tool for individuals looking to enhance their productivity by minimizing digital distractions. Its open-source nature and no-nonsense approach make it a popular choice among students, freelancers, and professionals alike.

Why this product is good

  • SelfControl is considered a good application because it effectively blocks distracting websites, helping users focus on their tasks without getting sidetracked by online distractions. It's simple to use, efficient, and highly customizable, allowing users to specify which sites to block and for how long, ensuring a tailored productivity experience.

Recommended for

    SelfControl is ideal for students who need to concentrate on studying, remote workers who want to avoid procrastination, freelancers who require discipline in managing their time, and anyone who needs a simple solution to reduce digital distractions during focused work periods.

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

SelfControl videos

+ Add

How to block websites that distract you ? Selfcontrol [Mac App review and tutorial]

More videos:

  • Review - SelfControl Review - Block distracting websites

Category Popularity

0-100% (relative to NumPy and SelfControl)

NumPy

SelfControl

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Time Tracking
0 0%
Time Tracking
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using NumPy and SelfControl. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and SelfControl

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

SelfControl Reviews

We have no reviews of SelfControl yet.
Be the first one to post

Social recommendations and mentions

Based on our record, NumPy should be more popular than SelfControl. It has been mentiond 119 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.

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

SelfControl mentions (75)

  • My 30-Year Quitting Addiction
    There is a free and open source app called SelfControl for macOS. It allows one to block access to any site one adds to the list in the app for the amount of time the user chooses. Attempt to use multiple browsers, restarting one's machine, deleting the app, etc. won't get around the block either. It's been super helpful for me, so I thought I'd just throw it out there. https://selfcontrolapp.com. - Source: Hacker News / over 1 year ago
  • App to prevent distractions at work
    It is SelfControl. It is open-source and free. You select the website you want to block and the time. The moment you click the button no matter what you do, you can forget about accessing those websites until the time is over; there is no cancel button. Restarted mac won't work, you can delete the app no luck. Source: over 1 year ago
  • App to prevent distractions at work
    The SelfControl app lets you specify web sites that will be blocked. When you run the app, you specify a countdown timer, during which time those apps will be inaccessible. Source: over 1 year ago
  • Finals season
    - https://selfcontrolapp.com/ this is free app. block off all social media and time wasters .. Only for mac. if there is nothing to be distracted... IMO I eventually be bored and I was able to get into the zone... Not right away... But I told my self... Today I study... And I stay in the study room. Source: over 1 year ago
  • Looking for the right app
    Apps I have tried and are not enough: - https://heyfocus.com/ - https://freedom.to/ - https://selfcontrolapp.com/ - https://www.forestapp.cc/ - https://www.rescuetime.com/. Source: over 1 year ago
View more

What are some alternatives?

When comparing NumPy and SelfControl, 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.

Cold Turkey - Cold Turkey is a free productivity program that you can use to temporarily block distractions so that you can get your work done!

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

Freedom.to - Freedom is a productivity hack that lets you block apps, websites or the entire Internet on iPhones, iPads, Windows and Mac computers.

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

Focus App - New Tab page that gives you a moment of calm and inspires you to be more productive.

Loading...