Software Alternatives, Accelerators & Startups

Asset Panda VS Plotly

Compare Asset Panda VS Plotly and see what are their differences

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.

Asset Panda logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • Asset Panda Landing page
    Landing page //
    2023-06-24

Asset Panda's asset management software helps your organization streamline the process of asset tracking and asset control. Our cloud-based asset tracking software is the most flexible, user-friendly, and customizable system available and supports integrations with the world's best software. The full-featured desktop app pairs with mobile iOS & Android apps with built-in mobile barcode scanning, so there's no need to purchase a separate barcode scanner. In addition to asset management, Asset Panda helps you with inventory management, auditing your fixed assets, maintenance tracking, asset depreciation, equipment tracking, and much more. Learn more about how our asset tracking system helps clients see an 800% ROI in saved time alone today!

  • Plotly Landing page
    Landing page //
    2023-07-31

Asset Panda features and specs

  • Customizable Interface
    Asset Panda offers a highly customizable interface that allows users to tailor the software to meet their specific asset tracking needs, improving usability and efficiency.
  • Mobile Accessibility
    The platform includes mobile apps for both iOS and Android, enabling users to manage and track assets on-the-go, which increases flexibility and convenience.
  • Comprehensive Features
    Asset Panda provides a wide range of features including barcode scanning, maintenance tracking, and depreciation management, making it a robust solution for asset management.
  • Cloud-Based Solution
    Being a cloud-based platform, Asset Panda offers the advantages of data accessibility from anywhere with an internet connection, as well as reduced need for on-premise IT resources.
  • Ease of Use
    The platform is user-friendly and easy to navigate, which lowers the learning curve and makes it accessible for users with varying levels of technical expertise.

Possible disadvantages of Asset Panda

  • Pricing
    Asset Panda can be on the higher end of cost, particularly for small businesses or startups with limited budgets. The pricing structure may not be as transparent as some would like.
  • Customer Support
    Some users have reported mixed experiences with customer support, noting that response times can sometimes be longer than expected.
  • Initial Setup Complexity
    The initial setup and customization of Asset Panda can be complex and time-consuming, requiring a dedicated effort to properly configure the platform to meet specific needs.
  • Performance Issues
    There have been occasional reports of performance issues, such as slow load times or glitches, which can affect overall user experience.
  • Limited Integrations
    While Asset Panda does offer some integrations, the range is relatively limited compared to competitors, which might pose a challenge for businesses relying heavily on other software systems.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Asset Panda videos

Asset Tracking - Asset Panda

More videos:

  • Tutorial - Importing Assets - Asset Panda Tutorial
  • Review - Asset Tracking -Timberhorn Save Time and Money with Asset Panda

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Asset Panda and Plotly)
Asset Management
100 100%
0% 0
Data Visualization
0 0%
100% 100
Asset Tracking
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Asset Panda and Plotly. 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 Asset Panda and Plotly

Asset Panda Reviews

Choose an ideal ITAM software: Top 15 asset management tools
Super flexible, no coding stress. “Asset Panda is an excellent solution for a user-friendly asset management and tracking software that is flexible and easy to implement and use long-term.” — Nickolas H., Project Manager on Capterra It’s one of those IT asset management solutions you can shape around your workflows without needing a full dev team or a month of onboarding.
Source: cloudaware.com
12 Best Asset Management Software For IT Teams In 2023
Asset Panda is an all-in-one asset management platform that allows you to track a variety of assets including IT assets, fixed assets, and more. The IT asset management platform features advanced inventory management techniques, which is perfect for organizations with thousands of SKUs.
Source: thectoclub.com
20 Best IT Asset Management Software in 2023: ITAM Tools and Solutions
Asset Panda, a powerful cloud-based asset relationship management platform, can manage and keep track of the interdependencies between your devices. Whether you’re managing computers, contracts, or building supplies, this scalable software adapts to your unique naming conventions, workflows, and use cases – not the other way around. The asset inventory solution from Asset...
Source: infraon.io
Best Free Asset Tracking Software
However, it won't work for live-tracking your powered assets or movable, high-value items. Asset Panda is designed for relatively low-value assets, including any type of fixed asset as well as tools, phones, computers, office furniture, important documents, or artworks. Asset Panda even notes that a client has used their service to track chickens!
Source: tech.co
The Best Asset Management Software of 2017
BMC Track-It! and SysAid are examples of customizable systems that might be a good fit because they do offer customization and APIs; other systems are configurable without any coding. This means the best value for your company is going to depend on the assets you are tracking and on the capability of the people you have working for you. It will also depend on their...
Source: au.pcmag.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Asset Panda mentions (0)

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

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Asset Panda and Plotly, you can also consider the following products

EZOfficeInventory - Web based Asset Tracking Software

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Gas Cylinder Tracking Software - Gas Cylinder Tracking Software is a distribution software that shows the purchase of empty cylinder inventory stock to get a refill, and it shows the inventory stock for empty company cylinders.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

UpKeep - Upkeep is proven to expedite workflow processes. Keep track of everything you do on a day to day basis with UpKeep!

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.