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Charts Factory VS Plotly

Compare Charts Factory VS Plotly and see what are their differences

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Charts Factory logo Charts Factory

Create simple charts super fast and for free!

Plotly logo Plotly

Low-Code Data Apps
  • Charts Factory Landing page
    Landing page //
    2022-01-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Charts Factory features and specs

  • User-Friendly Interface
    Charts Factory offers an intuitive and easy-to-use interface, allowing users to create and customize charts without needing extensive technical knowledge.
  • Variety of Chart Types
    The platform provides a wide range of chart types, including bar, line, pie, and more, enabling users to choose the most appropriate visualization for their data.
  • Customization Options
    Users can personalize their charts with various customization options, including colors, labels, and styles, to match their specific needs and preferences.
  • Integration Capabilities
    Charts Factory supports integration with common data sources and tools, allowing seamless data import and export for more streamlined workflows.
  • Real-Time Data Updates
    The platform supports real-time data updates, enabling charts to reflect the most current data automatically when linked to live data sources.

Possible disadvantages of Charts Factory

  • Limited Free Version
    The free version of Charts Factory comes with limitations on the number of charts and features available, potentially requiring a subscription for full access.
  • Learning Curve for Advanced Features
    While basic chart creation is straightforward, mastering the more advanced features and integrations may require additional time and learning.
  • Performance Issues with Large Datasets
    Some users report performance issues and longer rendering times when working with very large datasets, which can hinder efficiency.
  • Dependent on Internet Connection
    As a web-based tool, Charts Factory requires a stable internet connection for access and optimal performance, which can be a limitation in some situations.
  • Potential Data Privacy Concerns
    For some users, using a third-party tool raises concerns about data privacy and security, especially when working with sensitive information.

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.

Charts Factory videos

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Plotly videos

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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 Charts Factory and Plotly)

Charts Factory

Plotly

Data Dashboard
16 16%
Data Dashboard
84% 84
Data Visualization
6 6%
Data Visualization
94% 94
Charting Libraries
13 13%
Charting Libraries
87% 87
Developer Tools
26 26%
Developer Tools
74% 74

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Charts Factory and Plotly

Charts Factory 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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Charts Factory. While we know about 33 links to Plotly, we've tracked only 2 mentions of Charts Factory. 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.

Charts Factory mentions (2)

  • I created a Chart Image API and a Chart Editor for free.
    If you want to take a look at it, it's Charts Factory and free. Source: over 3 years ago
  • I saw Pac Man on pie charts
    I've been building an Chart Imae API for my side project, Charts Factory. I was creating a lot of charts and at some point I saw Pac Man on pie charts!I guess I need to stop working on chart related projects for some time :). Source: over 3 years ago

Plotly mentions (33)

  • 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 / about 2 months 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 / 4 months 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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Charts Factory and Plotly, you can also consider the following products

Datablast - Create charts, share and follow insights. Explore data in a new way.

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.

FnordMetric - Create charts and dashboards from SQL

Chart.js - Easy, object oriented client side graphs for designers and developers.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Charts by ls.graphics - The most comprehensive collection of charts for Sketch

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