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LogMeIn VS NumPy

Compare LogMeIn VS NumPy and see what are their differences

SetMe
Remote support software that just works. Securely access attended or unattended computers from anywhere. featured
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LogMeIn logo LogMeIn

LogMeIn gives you fast, easy remote access to your PC or Mac from your browser, desktop and mobile...

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • LogMeIn Landing page
    Landing page //
    2023-09-17
  • NumPy Landing page
    Landing page //
    2023-05-13

LogMeIn features and specs

  • Ease of Use
    LogMeIn offers a user-friendly interface, making it easy for both technical and non-technical users to navigate and use the software for remote access.
  • High Security
    The software provides robust security features, including TLS 1.2 transport security, dual passwords, and two-factor authentication, ensuring that remote sessions are secure.
  • Cross-Platform Compatibility
    LogMeIn supports multiple platforms, including Windows, macOS, iOS, and Android, making it versatile for users with different devices.
  • Advanced Features
    The service includes advanced features like remote printing, file transfer, and multi-monitor support, which are beneficial for professional and business users.
  • Scalability
    LogMeIn is suitable for both individual users and large teams, offering plans that can scale according to the number of users and required features.

Possible disadvantages of LogMeIn

  • Cost
    LogMeIn can be expensive compared to other remote access solutions, which might not be ideal for users with a limited budget.
  • Performance Issues
    Some users have reported occasional performance issues, such as lag or slow connections, which can be problematic during critical tasks.
  • No Free Version
    Unlike some competitors, LogMeIn does not offer a free version, limiting access for users who are not willing or able to pay for a subscription.
  • Resource Heavy
    The software can consume significant system resources, potentially impacting the performance of the host and remote devices during sessions.
  • Complex Setup
    Initial setup can be complex, particularly for less tech-savvy users, sometimes requiring additional time and effort to get everything configured correctly.

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.

LogMeIn videos

+ Add

Logmein Pro Review - Get 14 Day Logmein Free Trial Here

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 LogMeIn and NumPy)

LogMeIn

NumPy

Remote Desktop
100 100%
Remote Desktop
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Remote PC Access
100 100%
Remote PC Access
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 LogMeIn and NumPy

LogMeIn Reviews

25 Best TeamViewer Alternative Software (Free/Paid) in 2021
LogMeIn is a strong competitor of TeamViewer. It is an ideal tool for those who started a business that needs to continues support from all over the world. It is especially helpful for places where problems could occur at any time.
Source: www.guru99.com
Best remote desktop software of 2021: Paid and free choices for businesses
Plans cater for two remote connections and a 14-day free trial is available. If you need more connections, you can simply upgrade to a higher plan. Additionally, LogMeIn Pro is easy to set up, highly secure, and backed by 24/7 live support. Note, though, that its performance can be a little slow at times.
Source: www.techradar.com
Best Identity Management Software
LogMeIn Pro is mainly used by large organizations that operate on a work-from-home basis. Since it is focused on remote working, users can work on their own documents and files, either by themselves or in collaboration with teams, without comprising data access to the rest of the business.
Source: www.benzinga.com
10 Best Free Remote Desktop Tools You Should Know
This is one of the most popular remote desktop sharing tools because of its great features. One of the most noticeable features of this tool is the advanced configuration options offered for the business users. If you want to share files, transfer files or even want to do remote printing from any browser, LogMeIn is a perfect tool for you. Apart from all these, it is speedy...
Source: www.lifehack.org
Sick of TeamViewer? Try these 7 Free alternative to TeamViewer
LogMeIn is software like Teamviewer, that is cloud-based and functions as a powerful endpoint management tool with remote support. It provides high-quality services through a wide range of solutions like LogMeIn Pro, LogMeIn Central, and LogMeIn Rescue.
Source: www.troopmessenger.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, NumPy seems to be more popular. 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.

LogMeIn mentions (0)

We have not tracked any mentions of LogMeIn yet. Tracking of LogMeIn recommendations started around Mar 2021.

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 LogMeIn and NumPy, you can also consider the following products

TeamViewer - TeamViewer lets you establish a connection to any PC or server within just a few seconds.

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

AnyDesk - AnyDesk is the world's most comfortable remote desktop application. Access all your programs, documents and files from anywhere, without having to entrust your data to a cloud service.

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

TightVNC - TightVNC - VNC-Compatible Remote Control / Remote Desktop Software. Download TightVNCDownload TightVNC 1. 3. 10 - TightVNC Server - F. A. Read more about TightVNC.

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

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