Software Alternatives, Accelerators & Startups

Pandas VS Lansweeper

Compare Pandas VS Lansweeper and see what are their differences

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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.

Lansweeper logo Lansweeper

Lansweeper discovers Windows, Linux and Mac machines in your network.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Lansweeper Landing page
    Landing page //
    2023-08-02

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.

Lansweeper features and specs

  • Comprehensive IT Asset Management
    Lansweeper provides detailed insights into various assets including hardware, software, and user data, which helps in complete IT asset tracking and management.
  • Agentless Scanning
    Lansweeper offers agentless scanning capabilities, eliminating the need to install software agents on every device, which simplifies deployment and reduces management overhead.
  • Customization and Scalability
    The platform is highly customizable and scalable, accommodating the needs of both small and large enterprises by allowing tailored reporting and flexible asset management options.
  • Integration Capabilities
    Lansweeper integrates well with other IT management tools and platforms, such as service desks, network monitoring tools, and cybersecurity solutions, which enhances its utility in a wider IT ecosystem.
  • User-Friendly Interface
    The software features an intuitive and user-friendly interface, which makes navigation, reporting, and management tasks straightforward, even for users with limited technical expertise.

Possible disadvantages of Lansweeper

  • Cost
    While Lansweeper offers a rich set of features, it can be expensive, particularly for smaller organizations or startups with limited budgets for IT tools.
  • Learning Curve
    Despite its user-friendly interface, the depth and breadth of features can result in a steep learning curve for new users, requiring time and training to fully utilize the platform’s capabilities.
  • Resource Intensive
    Lansweeper can be resource-intensive, necessitating adequate server resources and potentially competing with other applications for bandwidth and processing power, which could be an issue in resource-limited environments.
  • Limited Real-time Monitoring
    The platform's focus is more on asset management rather than real-time monitoring, which might not suffice for organizations needing instant alerts and continuous observation of IT assets.
  • Complex Configuration
    Initial setup and configuration of Lansweeper can be complex, requiring a thorough understanding of your network and meticulous planning to ensure it is tailored to your organization’s specific needs.

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Lansweeper videos

IT Network Inventory | Agentless Network Discovery

Category Popularity

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

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

Lansweeper Reviews

11 NetBox Alternatives
Lansweeper is a website that manages all of your IT requirements manage IT assets and have full control over your IT. With the help of its great features, you can build your own centralized IT assets inventory and it will provide you full visibility of your IT estate. Lansweeper can handle all the assets and environments without installing any software on them and discovers...
9 Best Angry IP Scanner Alternatives Reviewed 2021 (Free & Paid)
Lansweeper clearly stands out from other network device scanners as it extends its capabilities into inventory management and machine maintenance. If you’re looking for a hybrid network scanner and inventory manager, Lansweeper is a great tool to use and is compatible in any Windows environment. You can use Landsweeper completely free, tracking up to 100 assets. The...

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.

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 / 20 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 1 month 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 / 3 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
View more

Lansweeper mentions (0)

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

What are some alternatives?

When comparing Pandas and Lansweeper, you can also consider the following products

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

Asset Panda - The cloud is playing a very important role for companies who utilize asset management software to track their assets or inventory. See how Asset Panda is leading the field thanks to their cloud-based tracking platform.

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

ALVAO IT Asset Management - ALVAO ITAM software helps you manage a wide range of assets, such as hardware, software, data, and people - it is up to you what you want to track.

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

FreeMeter - Monitor network bandwidth (C#.NET 2k/XP+). Desktop and Systray graph.