Software Alternatives, Accelerators & Startups

NinjaOne VS Pandas

Compare NinjaOne VS Pandas and see what are their differences

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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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Pandas logo Pandas

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

  • Pandas Landing page
    Landing page //
    2023-05-12

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

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Analysis of NinjaOne

Overall verdict

  • Yes, NinjaOne is considered a reliable IT management solution.

Why this product is good

  • NinjaOne offers a comprehensive suite of tools for remote monitoring and management (RMM), patch management, endpoint management, and more. Users appreciate its user-friendly interface, responsive support, and efficient automation features that help streamline IT operations.

Recommended for

  • IT professionals looking for a robust RMM solution
  • Managed Service Providers (MSPs) needing efficient client management tools
  • Businesses seeking to streamline IT operations with automation
  • Organizations requiring reliable endpoint and patch management

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

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

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

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

Questions and Answers

As answered by people managing NinjaOne and Pandas.

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 Pandas. 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 NinjaOne and Pandas

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.

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 219 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.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 27 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing NinjaOne and Pandas, 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™.

NumPy - NumPy is the fundamental package for scientific computing with 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.

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

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