Software Alternatives, Accelerators & Startups
Register | Login

NinjaOne VS Jupyter

Compare NinjaOne VS Jupyter and see what are their differences

SetMe
Remote support software that just works. Securely access attended or unattended computers from anywhere. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.
Visit Website

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • NinjaOne
    Image date //
    2024-02-01

NinjaOne automates the hardest parts of IT, empowering more than 17,000 IT teams with visibility, security, and control over all endpoints. The NinjaOne platform increases productivity while reducing risk and IT costs. Organizations use NinjaOne, including its wide range of IT and security integrations, for use cases including endpoint management, patch management, mobile device management, software deployment, remote access, endpoint backup, and more.

  • Jupyter Landing page
    Landing page //
    2023-06-22

NinjaOne features and specs

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

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

NinjaOne videos

+ Add

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

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to NinjaOne and Jupyter)

NinjaOne

Jupyter

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 Dashboard
0 0%
Data Dashboard
100% 100

Questions and Answers

As answered by people managing NinjaOne and Jupyter.

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 NinjaOne and Jupyter. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.
Source: www.softwaretestinghelp.com
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.
Source: www.comparitech.com
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.
Source: www.techradar.com

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 216 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.

NinjaOne mentions (0)

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

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing NinjaOne and Jupyter, you can also consider the following products

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™.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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 .

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Loading...