Software Alternatives, Accelerators & Startups

NumPy VS NinjaOne

Compare NumPy VS NinjaOne and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

NinjaOne logo 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.
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • NinjaOne
    Image date //
    2024-02-01

NinjaOne is a leading unified IT management software company that simplifies how IT teams work. MSPs and IT departments can automate, manage, and remediate all their device management tasks within one fast, modern, intuitive platform, improving technician efficiency and user satisfaction. NinjaOne is consistently ranked #1 for its world-class customer support and has been recognized as the best-rated software in its category on G2 and Gartner Digital Markets for the past 6 years.

NinjaOne delivers a happier, simpler IT experience with best-in-class device management, patch management, remote access, and more. With NinjaOne’s fast modern, intuitive platform, IT teams can automate processes and control their IT environments from an easy-to-use interface that allows them to instantly monitor, manage, secure, and support all users. For more information, or to start a free trial, visit www.ninjaone.com.

NumPy features and specs

No features have been listed yet.

NinjaOne features and specs

  • Self Service Portal: yes
  • Audit, Analysis and Compliance: yes
  • User Activity Monitoring: yes
  • Software Inventory: yes
  • Internet Usage Monitoring: yes
  • IP Address Monitoring: yes
  • Bandwidth Monitoring: yes
  • Network Diagnosis: yes
  • Vulnerability Scanners: yes
  • Data Loss Prevention: yes
  • Multi-Patch Deployments: yes
  • Unified Threat Management (UTM): yes
  • Ransomware Protection: yes
  • Intrusion Detection and Prevention (IDS/IPS): yes
  • Endpoint Detection and Response: yes
  • Breach Detection: yes
  • Advanced Threat Protection: yes

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

NinjaOne videos

NinjaRMM Live Setup

More videos:

  • Review - NinjaRMM Tech Talk
  • Demo - NinjaOne Backup
  • Review - TechnologyAdvice: NinjaOne Review - Top Features, Pros & Cons, and Alternatives
  • Demo - NinjaOne | Spend more time on the important things
  • Review - NinjaOne RMM Review

Category Popularity

0-100% (relative to NumPy and NinjaOne)
Data Science And Machine Learning
Monitoring Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
IT Management
0 0%
100% 100

Questions and Answers

As answered by people managing NumPy and NinjaOne.

How would you describe your primary audience?

NinjaOne's answer:

NinjaOne customers include MSPs and internal IT organizations of all sizes.

What makes your product unique?

NinjaOne's answer:

NinjaOne is a cloud-native unified IT management platform tailored for IT organizations and MSPs. It offers comprehensive monitoring, management, patching and security for a diverse range of endpoints — including Windows, macOS, Linux, VMs, and SNMP — all consolidated within a singular intuitive dashboard.

Its robust automation features empower technicians to offload routine, time-intensive tasks, redirecting their attention to strategic endeavors. Designed for proactive daily management, NinjaOne boasts a user-friendly interface, ensuring a smooth set-up and operation. With complimentary unlimited onboarding, training, and support, we're committed to maximizing the ROI for our customers' NinjaOne investments.

Why should a person choose your product over its competitors?

NinjaOne's answer:

NinjaOne equips MSP and IT teams with a unified hub for overseeing, patching, and supporting all their endpoints. Leveraging our integrated solution and policy-driven management, we introduce a remarkable degree of automation into standard IT workflows, enabling technicians to channel their expertise into intricate tasks and innovative problem-solving.

Tailored for the modern, distributed workforce, NinjaOne's cloud-native platform allows technicians to manage any internet-connected endpoint from any location, eliminating the need for any infrastructure. This not only trims management costs but also simplifies the process. The platform's agile and user-friendly interface further amplifies efficiency, making IT operations seamless for teams.

What's the story behind your product?

NinjaOne's answer:

NinjaOne is dedicated to building top-tier, scalable, and user-friendly IT management solutions that empower MSPs and IT experts to ensure business continuity and enhance profitability. With a user experience intricately designed from inception, we aim to minimize onboarding costs and optimize automation, offering a cutting-edge, proactive IT management journey. Presently, over 13,000 MSPs and IT entities worldwide trust NinjaOne to oversee, update, and secure more than 5 million endpoints.

Which are the primary technologies used for building your product?

NinjaOne's answer:

NinjaOne is a cloud-native unified IT management platform. Key technologies include monitoring & alerting, patch management, software deployment, scripting & automation, remote control, backup, ticketing, documentation, next generation antivirus (NGAV) and endpoint detection and response (EDR). Additionally, NinjaOne seamlessly integrates with numerous popular solutions, further enhancing our customers' workflow efficiency.

User comments

Share your experience with using NumPy and NinjaOne. For example, how are they different and which one is better?
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Reviews

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

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

NinjaOne Reviews

12 Best Asset Management Software For IT Teams In 2023
Why I picked NinjaOne: I like how the tool offers a complete toolkit for small IT teams and IT managers to manage, monitor, secure, and improve servers, network devices, laptops, and workstations. I think the best part of the platform is just how easy it is to use even if you have a wide variety of clients or IT to manage.
Source: thectoclub.com
10 Best RMM Software | Remote Monitoring & Management Tools 2021
NinjaRMM Pricing: NinjaRMM offers a free trial of their product. Ninja is priced on a per-device basis based on the features needed.
12 Best RMM Software and Tools for 2021
NinjaRMM is an excellent RMM solution with real-time monitoring for Windows and Mac computers. NinjaRMM offers users the ability to automate patches to remote networks. The software supports over 120 applications including Java and Dropbox. Patching these popular services allows you to minimize the vulnerabilities your users face.
8 Best RMM Software and Tools
NinjaRMM’s monitoring agent can be installed on Windows and Mac computers and provides endpoint data including, processing, memory, utilization, network, logs, etc. Additionally, NinjaRMM’s automation capabilities allow managers to check the entire infrastructure, install patches, etc.
Source: www.pcwdld.com
Best helpdesk software of 2020: for ticketing and support
NinjaRMM is a cloud-based help desk solution that allows you to monitor everything in real-time. The GUI is simple and easy to use, which can make the learning curve in setting up, using, and customizing short and sweet. The developers are also proactively adding additional features, not least to increase the number of available integrations and improving the available toolkit.

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 111 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 (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 3 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 10 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

NinjaOne mentions (0)

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

What are some alternatives?

When comparing NumPy and NinjaOne, 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.

ConnectWise Automate - Solve IT Problems with ConnectWise Automate, Remote Monitoring and Remote Management Software. Visit to boost the effectiveness of your IT teams.‎Try ConnectWise Automate .

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

Atera - The only IT management platform powered by Action AI™

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

Microsoft Operations Management Suite - Microsoft Operations Management Suite enables user to gain visibility and control across the hybrid cloud with simplified operations management and security