Software Alternatives, Accelerators & Startups

TeamViewer VS NumPy

Compare TeamViewer VS NumPy and see what are their differences

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TeamViewer logo TeamViewer

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

NumPy logo NumPy

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

TeamViewer features and specs

  • Cross-Platform Compatibility
    TeamViewer supports multiple operating systems including Windows, macOS, Linux, iOS, and Android, making it versatile for various user needs.
  • Ease of Use
    The interface is user-friendly and intuitive, which makes it easy for both technical and non-technical users to navigate and use the software.
  • Comprehensive Features
    The software offers a wide range of features including remote control, file transfer, VPN, and remote printing, which can address various remote support needs.
  • High Security
    TeamViewer uses end-to-end encryption, two-factor authentication, and other security measures to protect data and ensure safe remote connections.
  • Free for Personal Use
    TeamViewer offers a free version for personal, non-commercial use, allowing individual users to leverage its functionalities without cost.
  • Support for Multiple Users
    The software allows multiple users to connect to a single session, which can be beneficial for collaborative work or support scenarios.
  • Fast and Reliable Performance
    TeamViewer provides fast connection speeds and stable performance, minimizing lag and disruptions during remote sessions.

Possible disadvantages of TeamViewer

  • High Cost for Commercial Use
    The pricing for commercial licenses can be high, especially for small businesses, which can make it less affordable for some users.
  • Occasional Connection Issues
    Some users report occasional connection drops and latency issues, which can interrupt remote sessions.
  • Complex Licensing Model
    The licensing model can be complex and confusing, with various tiers and features that can be difficult to navigate for potential buyers.
  • Resource Intensive
    TeamViewer can be resource-intensive, potentially slowing down the performance of the host and client machines during remote sessions.
  • Limited Free Version
    The free version has limitations on functionality and usage time, which can restrict its utility for more extensive or professional use.
  • Privacy Concerns
    There have been concerns regarding privacy and data security, with some reports of unauthorized access, although these are relatively rare.

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.

TeamViewer videos

Teamviewer Remote Access - How to use and Review

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

TeamViewer Reviews

  1. cico3466
    · user at PCHardware ·
    First Organization

    TeamViewer is a beginner-friendly, feature-rich remote desktop management tool that boasts exceptional security features, an intuitive user interface, and a great selection of extra screen sharing and conferencing tools.

    🏁 Competitors: Microsoft Teams, AnyDesk
    👍 Pros:    Beginner-friendly interface
    👎 Cons:    Could be expensive for some

Top Remote Desktop Software for Gaming
TeamViewer is one of the most well-known remote desktop software worldwide. As one of the fastest remote desktop for gaming solutions, TeamViewer is unique in delivering support in more than 30 languages.
Source: cloudzy.com
10 Best Teamviewer Alternatives
The first remote access program that comes to mind when looking for an alternative to Teamviewer is Anydesk. The office of this company is also located in Germany and it is believed that the founders of Anydesk are former employees of Teamviewer.
Source: medium.com
Top 10 Duet Display Alternatives (Free and Paid) Reviewed | 2022
Duet Display vs TeamViewer: The app allows you to monitor devices remotely and is a bit different than Duet Display Therefore, it is obvious that you can use Team Viewer to add a second screen to your computer. The process is quite simple as you just need to download and install the app and you can remotely transfer the screen.
Source: mediapeanut.com
Top 10 Android Remote Access Tools
TeamViewer is considered by many to be the best remote access software Android users can obtain. The tool requires a bit more effort to set it up, but the advanced feature set and performance make it worth your time. While the free version is stable for personal use, businesses that want to implement TeamViewer need to purchase a paid subscription. The tool is great for...
15 Best Parsec Alternatives [Remote Desktop Tools] in 2022
TeamViewer is an app that allows remote access and control to any desktop and mobile platform. It gives you access to any computer or mobile device and allows you to operate them as if you are there. It is a great alternative to Parsec as you can access your gaming PC through your mobile phone or any device of your choice and will be able to play your games from there easily.
Source: phreesite.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.
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.

TeamViewer mentions (0)

We have not tracked any mentions of TeamViewer yet. Tracking of TeamViewer 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 TeamViewer and NumPy, you can also consider the following products

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.

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

join.me - Instant screen sharing. Instant Aha!

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

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

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