Software Alternatives, Accelerators & Startups

FieldFX VS Plotly

Compare FieldFX 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.

FieldFX logo FieldFX

Salesforce Customer Secure Login Page. Login to your Salesforce Customer Account.

Plotly logo Plotly

Low-Code Data Apps
  • FieldFX Landing page
    Landing page //
    2023-03-26
  • Plotly Landing page
    Landing page //
    2023-07-31

FieldFX features and specs

  • Integration with Salesforce
    FieldFX is seamlessly integrated with Salesforce, allowing users to leverage Salesforce's robust CRM capabilities and ensuring that customer data is consistent and easily accessible across platforms.
  • Mobile Accessibility
    The platform is mobile-friendly, which enables field workers to access and input data directly from job sites using mobile devices, enhancing real-time communication and reducing delays.
  • Customization
    FieldFX offers a high level of customization, allowing businesses to tailor the software to meet their specific field service management needs, resulting in increased efficiency and user satisfaction.
  • Comprehensive Field Service Management
    FieldFX provides a comprehensive suite of tools for managing various field services tasks such as scheduling, dispatching, asset management, and inventory tracking, helping businesses streamline operations.

Possible disadvantages of FieldFX

  • Complex Setup
    The initial setup and customization of FieldFX can be complex and time-consuming, requiring significant effort and possibly external consultancy, which might be a barrier for some organizations.
  • Cost
    FieldFX can be expensive, particularly for small to medium-sized businesses, due to its subscription costs and potential additional fees for advanced features or customizations.
  • Learning Curve
    Users might face a steep learning curve with FieldFX due to its comprehensive features and complexity, necessitating thorough training to leverage the platform effectively.
  • Dependency on Salesforce
    As FieldFX is heavily integrated with Salesforce, businesses that do not use Salesforce or are not planning to adopt it might find limited value in the platform, reducing its standalone utility.

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.

FieldFX videos

FieldFX Timecards Module from LiquidFrameworks

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 FieldFX and Plotly)
Simulation Software
100 100%
0% 0
Data Visualization
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
Charting Libraries
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 FieldFX and Plotly

FieldFX Reviews

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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 thatโ€™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

Plotly might be a bit more popular than FieldFX. We know about 34 links to it since March 2021 and only 25 links to FieldFX. 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.

FieldFX mentions (25)

  • How to sync your MySQL database with Salesforce in Docker using Boomi
    A Salesforce Security Token is required to connect to your Salesforce application. To obtain your token, log in to your Salesforce account, click on your avatar, and navigate to settings. This process ensures a more secure connection by adding an extra layer of authentication. - Source: dev.to / over 2 years ago
  • Single-Sign-On with Okta - Do we still need to have Salesforce MFA enabled?
    So if we login via login.salesforce.com then we will continue to see the MFA requirement? Source: over 3 years ago
  • SSO not appearing in My Domain
    I assume you have my domain enabled in the Production org? Maybe you need to turn on prevent login from login.salesforce.com? Source: over 3 years ago
  • Creating Custom API Endpoints in Salesforce with Apex
    With our token in hand, we select the login SoapBinding in SoapUI. Ensure you have the correct URL depending on your org. If you just signed up for a developer account, the URL should be https://login.salesforce.com. If you are testing this in a Sandbox, then the URL should be https://test.salesforce.com. Ideally, the generated Enterprise WSDL will already have the correct URL. - Source: dev.to / over 3 years ago
  • Resetting user passwords
    I'm a program manager leading our MFA integration for our users. Part of that is logging them out and having them authenticate via login.salesforce.com. However, most of them don't remember their passwords. When I try resetting them, their reset URL just takes them into an already logged in instance of SFDC. Others are receiving an error that they can't reset their password because they don't have a security... Source: over 4 years ago
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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 / 5 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!๐Ÿค“
    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 / over 1 year 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 FieldFX and Plotly, you can also consider the following products

EcoSys - EcoSys empowers informed portfolio, project, and contract decisions to maximize returns and margins. In a single integrated solution, EcoSys offers visibility and accountability into the full project lifecycle.

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.

Coreworx - Coreworx provides project information management software for engineering and construction.

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

Accent Accelerate - Next-level sales enablement for sharper execution

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.