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Jobber VS Plotly

Compare Jobber VS Plotly and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Jobber logo Jobber

Jobberโ€™s field service scheduling software and app is the best way to organize your service business. Quote, schedule, invoice, and get paidโ€”all in one place. Our easy-to-use app powers your sales, operations, and customer service.

Plotly logo Plotly

Low-Code Data Apps
  • Jobber Landing page
    Landing page //
    2023-09-10
  • Plotly Landing page
    Landing page //
    2023-07-31

Jobber features and specs

  • User-Friendly Interface
    Jobber offers a clean and easy-to-navigate user interface, making it simple for users to manage tasks and access features without a steep learning curve.
  • Comprehensive Functionality
    The platform provides a wide range of features including scheduling, invoicing, customer management, and reporting to streamline operations for small businesses.
  • Mobile App
    Jobberโ€™s mobile app supports field service professionals by allowing them to manage their jobs, quotes, and customer information on the go.
  • Customer Support
    The company offers robust customer support through various channels, including phone, email, and live chat, to assist users with any issues or questions.
  • Integrations
    Jobber integrates with several other popular software tools like QuickBooks, Stripe, and Mailchimp, enhancing its functionality and compatibility.

Possible disadvantages of Jobber

  • Pricing
    Jobber can be relatively expensive for small businesses, and some users may find the pricing plans not entirely justified by the features offered.
  • Limited Customization
    Some users have expressed a need for more customization options within the platform to better suit their specific operational requirements.
  • Reporting Limitations
    While Jobber does offer reporting features, some users feel they are not as advanced or flexible as needed for in-depth business analysis.
  • Learning Curve for Advanced Features
    Although the platform is user-friendly, some of its more advanced features can have a steep learning curve, requiring time and effort to master.
  • Occasional Sync Issues
    Some users have reported occasional synchronization issues between Jobber and integrated third-party applications, which can disrupt workflows.

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 Jobber

Overall verdict

  • Overall, Jobber is highly rated by its users and is known for its comprehensive set of features that empower service-based businesses to manage their work more effectively. Its ability to integrate with various other applications and provide robust mobile functionalities adds to its appeal, making it a reliable solution for many companies.

Why this product is good

  • Jobber is considered a good option for field service management because it offers a range of features designed to streamline operations for small to medium-sized businesses. It provides tools for scheduling, invoicing, client management, and payment processing, all in a user-friendly interface. The platform is praised for its ease of use, customization options, and effective customer support, making it a strong choice for businesses needing efficient workflow management.

Recommended for

    Jobber is recommended for small to medium-sized businesses that operate in industries such as landscaping, HVAC, plumbing, electrical, and other field service sectors. These businesses can benefit from Jobber's scheduling capabilities, seamless invoicing, and client management features to optimize their daily operations and improve customer satisfaction.

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.

Jobber videos

+ Add

Jobber - Service Business Scheduling and Invoicing Application

More videos:

  • Review - Housecall Pro vs. Jobber
  • Review - My thoughts about using the Jobber software

Plotly videos

+ Add

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 Jobber and Plotly)

Jobber

Plotly

Field Service Management
100 100%
Field Service Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Work Management
100 100%
Work Management
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Jobber and Plotly. 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 Jobber and Plotly

Jobber Reviews

7 Best Workiz Alternatives in 2025 (Tried, Compared)
Jobber is a Workiz alternative built for small teams that run repeat jobs and want built-in workflows. Itโ€™s a good fit if you need a simple setup with features like customer reminders, recurring scheduling, and batch invoicing.
Source: www.fieldpulse.com
7 Best Field Service Management Software for Small Businesses in 2025
Review #2: โ€œOverall, Jobber is an amazing product. A product I wouldn't run my business without!! However, there is some room for improvement within the system to give the business owner more control over their files and billing.โ€ โ€“ Melody N.
Source: www.fieldpulse.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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Jobber. 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.

Jobber mentions (18)

  • Show HN: Windmill โ€“ fastest open-source workflow engine โ€“ the how
    I wonder how far you'd get with the very "not technical" https://getjobber.com/ Only because you said "sell service to client", schedule date with client, etc. - Source: Hacker News / over 2 years ago
  • Need advice: What software do you use for subscription based payments and managing customers?
    Some stuff I have looked into: Field Routes: https://www.fieldroutes.com Jobber: https://getjobber.com// Service Titan: https://www.servicetitan.com Some of my buddies at school are talking about making a cheaper and simpler software just to do subscription based payments and the automatic texting and emailing stuff for window servicing specifically. But IDK when they're gonna finish it. Source: about 3 years ago
  • My family owns a repair shop need something to track jobs.
    I found this with a google search of the above term: https://getjobber.com. Source: over 3 years ago
  • Would you advertise your previous successful but completely unrelated work experience?
    Two that come to mind are https://www.jobnimbus.com/ and https://getjobber.com/. Source: over 3 years ago
  • Old Buisness Who Dis
    I know that our clients in traditional on-site work have liked 'Jobber' If you google 'your industry + CRM' you will get on the right track. You'll probably be looking at spending $20-40 a month. Source: almost 4 years ago
View more

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 Jobber and Plotly, you can also consider the following products

HouseCall Pro - HouseCall Pro is a top rated mobile app that will put you in control & delight your customers. Scheduling, dispatching, GPS tracking, invoicing, credit cards & more.

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.

ServiceTitan - #1 Management Software for Home Service Contractors.

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

Workiz - Workiz is an intuitive Field Service Management and Scheduling Software. Use cloud-based invoicing, scheduling, SMS messaging, CRM, work orders and more to manage your service business.

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.

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