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ShareX VS NumPy

Compare ShareX VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ShareX logo ShareX

ShareX is a free and open source program that lets you capture or record any area of your screen...

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • ShareX Landing page
    Landing page //
    2022-10-29
  • NumPy Landing page
    Landing page //
    2023-05-13

ShareX features and specs

  • Free and Open Source
    ShareX is completely free and the source code is open to the public. This allows for community contributions, and users can trust that there are no hidden costs or malware.
  • Feature-Rich
    ShareX offers a wide range of features including screen capture, video recording, GIF creation, and various upload methods to many different services.
  • Customization
    The software provides extensive customization options, allowing users to tailor their workflows to their specific needs. This includes hotkeys, automated tasks, and image editing on-the-fly.
  • Various Output Formats
    Users can save their captures in multiple formats such as PNG, JPEG, GIF, and more. This makes it versatile for different use cases.
  • Automated Processes
    ShareX can automate various processes such as uploading to cloud services, copying URLs, and performing file operations. This enhances productivity and saves time.
  • Regular Updates
    The application receives regular updates, ensuring that it keeps up with new technology and user requirements.

Possible disadvantages of ShareX

  • Complexity
    With its wide array of features, ShareX can be complex and overwhelming for new users. The interface might take some time to get used to.
  • Windows-Only
    ShareX is only available for Windows. Users on other operating systems like macOS or Linux will not be able to use it natively.
  • Occasional Bugs
    Some users report occasional bugs or instability, which may require troubleshooting or waiting for updates to resolve.
  • Steep Learning Curve
    Due to its extensive features and customization options, there is a steep learning curve for users who want to make the most out of all functionalities.
  • Third-Party Dependencies
    Some features may rely on third-party services or frameworks, which can lead to complications or additional configuration steps.

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.

ShareX videos

+ Add

Here's why you should download ShareX.

More videos:

  • Review - Simple Screenshots & Screen Recording — Why You Should Use ShareX
  • Tutorial - ShareX Install and How to use Guide 2019

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

Category Popularity

0-100% (relative to ShareX and NumPy)

ShareX

NumPy

Screenshots
100 100%
Screenshots
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Screenshot Annotation
100 100%
Screenshot Annotation
0% 0
Data Science Tools
0 0%
Data Science Tools
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 ShareX and NumPy

ShareX Reviews

Selecting the Best Screen Recorder for Windows 11: A Thorough Exploration
Selecting the right screen recorder for Windows 11 hinges on your specific needs and the level of complexity you’re comfortable with. ScreenRec offers a balanced mix of ease of use and functionality, making it an excellent choice for most users. However, those with more specialized needs might find OBS Studio, Camtasia, Bandicam, or ShareX to be better suited to their...
Source: medium.com
Top 8 Best Free Screen Recorders in 2024
Another top contender for best free screen recorders in 2024 is ShareX. While not as feature-rich as some of its counterparts like OBS or ScreenMix, it still serves as an excellent fit for beginners venturing into screen recording. With ShareX, you enjoy the flexibility of customizing your recording area, allowing you to capture specific windows or your entire screen. ShareX...
Source: mixilab.com
The Most Recommended 11 Screen Recorders for Windows 10/11 in 2023 [HOT]
After installing and starting ShareX on your PC, just use the shortcut key to start screen capture and select areas, automatically save images, upload directly to the cloud, share online, and so on. ShareX is free to use. ShareX for Windows 10/11 can easily import media from your computer. You can choose to record the whole screen, part of the screen or a specific program at...
Source: www.geekersoft.com
The 5 Most Recommended Free Screen Recording Softwares
ShareX is an open source screen recording software. This screen recording tool does not add watermark or time limit to the recorded video, and it can also be saved in GIF format after recording.
Source: www.geekersoft.com
Top 15 Free Alternatives to OBS | Online Free Screen Recorder for PC
ShareX, like OBS, is a free and open-source tool for Windows users. This free tool provides a lot of features, including full-screen window, designated areas and active window recording; set timed recording; performming recording while scrolling the page; taking screenshots and supporting OCR to extract text from screenshots, etc.
Source: www.geekersoft.com

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

Social recommendations and mentions

Based on our record, ShareX should be more popular than NumPy. It has been mentiond 273 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.

ShareX mentions (273)

  • Devlog: Hacktoberfest 2024 (2/4)
    I made sure to document every step of the way via screenshots to ensure I could test enabling and disabling certain features. The screenshot tool I use on Windows is called, ShareX, and I find it extremely useful with regards to pointing out certain elements in an image. - Source: dev.to / 8 months ago
  • Flameshot – Powerful, yet simple to use open-source screenshot software
    I've been using ShareX (https://getsharex.com/) for some years, which is also open-source, and very featureful while not feeling too bloated, though Windows only. I'll have to have a look at this next time I'm on a Linux desktop, as I found the options lacking compared to ShareX last time I looked. - Source: Hacker News / 12 months ago
  • The fastest tool for measuring anything on your screen
    ShareX (https://getsharex.com/) doesn't have quite this nice UX but it's free. I often use it alongside browser dev tools. Here's a screenshot of me measuring this comment box https://i.imgur.com/yoTHbzq.png. - Source: Hacker News / about 1 year ago
  • Full Screen recording software for lower end machines.
    ShareX will run on that machine no problem. Open-source & free. Https://i.imgur.com/KQAoDin.jpg. Source: over 1 year ago
  • 'Screen Apnea'
    ShareX [1] is my other "must install" app. I never would have guessed how much my branch of engineering consists of "take a screenshot and draw lines, arrows and circles on it." Being able to customize my workflow to do all of that is really great. [1] https://getsharex.com/. - Source: Hacker News / 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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

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

Greenshot - Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.

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

LightShot - The fastest way to take a customizable screenshot.

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

Snagit - Screen Capture Software for Windows and Mac

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

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