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Kaseya VSA VS NumPy

Compare Kaseya VSA VS NumPy and see what are their differences

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Kaseya VSA logo Kaseya VSA

Kaseya VSA is a software used in remote monitoring, information technology management, cloud-based and network security resolution that gives functionalities and tools to IT enterprises and Managed Service Providers (MSP) to enable systems to become…

NumPy logo NumPy

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

Kaseya VSA features and specs

  • Comprehensive Remote Monitoring and Management
    Kaseya VSA provides a complete suite of tools for remote monitoring and management, allowing technicians to oversee and manage IT infrastructure remotely, which can greatly enhance efficiency.
  • Automation Capabilities
    The platform offers robust automation features for repetitive tasks such as patch management, software deployment, and monitoring, which can save time and reduce human errors.
  • Scalability
    Kaseya VSA is scalable and can support a variety of enterprise sizes, making it a suitable choice for small businesses as well as large corporations.
  • Integrated Ticketing and Workflow
    The integration of ticketing systems and workflows helps streamline IT service management and enhances communication between IT staff and users.
  • Security Features
    The software includes various security features such as antivirus, anti-malware, and endpoint detection and response capabilities, enhancing the overall security posture of the IT environment.
  • Customizable Dashboards and Reporting
    Kaseya VSA offers customizable dashboards and reporting tools, enabling administrators to tailor their views and reports to focus on the most relevant metrics and data for their operations.

Possible disadvantages of Kaseya VSA

  • Complexity
    Due to its wide range of features and capabilities, Kaseya VSA can be complex to learn and manage, requiring a considerable amount of time to fully understand and utilize.
  • Cost
    Kaseya VSA can be relatively expensive compared to some alternative RMM solutions, which may be a barrier for smaller businesses with limited budgets.
  • Performance Issues
    Some users have reported performance issues, such as slow response times and occasional system crashes, which can affect productivity.
  • Support and Customer Service
    There have been mixed reviews regarding Kaseya’s support and customer service, with some users citing delayed responses and difficulty in resolving issues.
  • Initial Setup Complexity
    The initial setup and configuration of Kaseya VSA can be challenging and time-consuming, requiring a significant level of technical expertise.
  • User Interface
    Some users find the user interface to be outdated and less intuitive compared to more modern RMM solutions, which can affect user experience.

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.

Kaseya VSA videos

+ Add

Introducing Kaseya VSA 9.5

More videos:

  • Review - Kaseya VSA RMM Vulnerability Exploited For Cryptocurrency Mining Attack... AGAIN!

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 Kaseya VSA and NumPy)

Kaseya VSA

NumPy

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
IT Management
100 100%
IT Management
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 Kaseya VSA and NumPy

Kaseya VSA Reviews

10 Best RMM Software | Remote Monitoring & Management Tools 2021
Continuum provides the solution for enterprise-grade MSPs. Comodo One is a cloud-hosted solution and is best for small businesses. It is the only solution that is available for free. SolarWinds RMM and Kaseya VSA are best for small to large businesses.
Source: www.softwaretestinghelp.com
12 Best RMM Software and Tools for 2021
Kaseya is an RMM tool that can monitor a remote network. Kaseya VSA monitors performance metrics such as uptime, CPU, memory, disk space, and more to track the performance of remote hardware. Network discovery catalogs devices throughout your network so you can view them in the Discovered Devices view.
Source: www.comparitech.com
8 Best RMM Software and Tools
Kaseya VSA is another popular RMM software in the MSP market. It is a unified cloud-based RMM solution with a strong emphasis on automation and security. Kaseya VSA can be configured to deploy software automatically, run patches/updates, and even resolve issues. You can also manage vulnerabilities, set control access with 2FA, manage backup & disaster recovery, AV &...
Source: www.pcwdld.com
Top IT Management Software 2021
One of the biggest threats to IT security is human error. How many email phishing attempts does your workplace see each week? Kaseya VSA recently acquired Graphus, so their IT management suite now contains a powerful email security and phishing defense platform. This keeps your network safer from attacks, and it frees up your IT department’s time to focus on other issues.
Source: www.itbusinessedge.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.

Kaseya VSA mentions (0)

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

Freshservice - Freshservice: the one-stop cloud solution for all your IT management needs.

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

NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.

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

Atera - Atera is reinventing the world of IT by harnessing AI to power our all-in-one Remote Monitoring and Management (RMM), Helpdesk, Ticketing, and automations platform—streamlining organizational IT management at scale with our proprietary Action AI™.

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

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