Software Alternatives, Accelerators & Startups

17hats VS Plotly

Compare 17hats VS Plotly and see what are their differences

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17hats logo 17hats

The all-in-one business system for entrepreneurs.

Plotly logo Plotly

Low-Code Data Apps
  • 17hats Landing page
    Landing page //
    2023-06-25
  • Plotly Landing page
    Landing page //
    2023-07-31

17hats features and specs

  • All-in-One Solution
    17hats combines invoicing, CRM, project management, and scheduling, reducing the need for multiple tools and making it easier to manage business operations in one place.
  • Automation
    The platform offers automation features for workflows, emails, and tasks, saving time and increasing efficiency for small business owners.
  • User-Friendly Interface
    17hats has a user-friendly interface that is easy to navigate, making it accessible for users who may not be technically savvy.
  • Client Portal
    Clients have access to a portal where they can view invoices, sign contracts, and manage appointments, enhancing the professional communication between businesses and their clients.
  • Mobile App
    17hats offers a mobile app, enabling business owners to manage their operations on the go, ensuring flexibility and increased productivity.
  • Customization
    The platform allows for a high level of customization for templates, contracts, and workflows, enabling businesses to tailor the system to better fit their specific needs.

Possible disadvantages of 17hats

  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve due to the wide range of features available, which can be overwhelming for new users.
  • Cost
    17hats can be relatively expensive, especially for very small businesses or startups with limited budgets. The cost might deter some users from fully adopting the platform.
  • Limited Integrations
    While it covers many internal features, 17hats has limited integrations with other popular business tools, which may be a drawback for those who prefer a more interconnected ecosystem.
  • Customer Support
    Some users report that customer support responses can be slow or not as helpful as expected, which can be frustrating when encountering issues that need quick resolution.
  • Template Constraints
    Users have noted that while 17hats offers customization, there are some constraints in the templates provided, which might not cater to all unique business needs.
  • Reporting
    The reporting features in 17hats are not as robust as some other platforms, which can be a limitation for businesses that require detailed analytics and reports.

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 17hats

Overall verdict

  • Overall, 17hats is considered good for entrepreneurs who need an integrated solution for managing their business workflows. It simplifies various aspects of business management and is well-suited for those who wear multiple hats in their business activities.

Why this product is good

  • 17hats is popular because it offers an all-in-one business management platform for freelancers and small business owners. It combines features like project management, billing, client CRM, and scheduling in a single platform, making it convenient for users to handle business operations without needing multiple tools.

Recommended for

    17hats is recommended for freelancers, small business owners, and solo entrepreneurs who are looking for a comprehensive tool to manage projects, clients, finances, and schedules efficiently within a single interface.

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.

17hats videos

Reasons to love 17hats

More videos:

  • Review - 17Hats Easy CRM for Creatives
  • Review - HoneyBook Vs Dubsado Vs 17Hats Review

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 17hats and Plotly)
CRM
100 100%
0% 0
Data Visualization
0 0%
100% 100
Sales
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 17hats and Plotly

17hats Reviews

We have no reviews of 17hats yet.
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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

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.

17hats mentions (0)

We have not tracked any mentions of 17hats yet. Tracking of 17hats 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 / 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
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