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FireCMS VS Plotly

Compare FireCMS VS Plotly and see what are their differences

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FireCMS logo FireCMS

An open source CMS/admin panel based on Firestore

Plotly logo Plotly

Low-Code Data Apps
  • FireCMS Landing page
    Landing page //
    2023-09-01
  • Plotly Landing page
    Landing page //
    2023-07-31

FireCMS features and specs

  • User-Friendly Interface
    FireCMS offers an intuitive and clean user interface that simplifies content management tasks for users with varying levels of technical expertise.
  • Firebase Integration
    Built natively on Firebase, FireCMS allows seamless integration with Firebase features such as authentication, Firestore, and storage, making it an excellent choice for Firebase-centric applications.
  • Real-Time Capabilities
    FireCMS leverages Firebase's real-time capabilities, ensuring that updates to content are immediately reflected across all users and sessions.
  • Customization and Extensibility
    Developers can customize the platform to suit specific business needs through custom form fields, views, and actions.
  • Open-Source
    Being open-source, FireCMS can be freely modified and tailored to fit specific project requirements, and benefits from community contributions.

Possible disadvantages of FireCMS

  • Firebase Dependency
    FireCMS is deeply integrated with Firebase, which may be a limitation for projects not already using Firebase, or for those looking for database-agnostic solutions.
  • Learning Curve for Customization
    While customization is a strength, it also presents a learning curve for developers unfamiliar with React or Firebase.
  • Scalability Concerns
    Depending on the usage and growing data within Firestore, scaling might present challenges requiring careful planning and cost management.
  • Limited Feature Set Compared to Enterprise Solutions
    FireCMS might lack some advanced enterprise-level features provided by more mature CMS platforms, such as detailed analytics or workflow automation.

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.

FireCMS videos

No FireCMS videos yet. You could help us improve this page by suggesting one.

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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 FireCMS and Plotly)

FireCMS

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
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 FireCMS and Plotly

FireCMS Reviews

  1. Fernando Lopez
    · CTO at medicalmotion GmbH ·
    Best Firebase CMS

    Managed to get a back office tool for our new project in very little time. Ton of integrated fields and easy to extend

    🏁 Competitors: Rowy
    👍 Pros:    Easy to use|Great ux|Firebase as a backend|Highly customizable|Free for commercial use
    👎 Cons:    Requires some development knowledge

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 should be more popular than FireCMS. It has been mentiond 33 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.

FireCMS mentions (16)

  • FireCMS Flavours in the CLI
    That's it! You are ready to go. You can now start building your project with FireCMS. - Source: dev.to / 4 months ago
  • Firebase: The Ultimate Backend for Your CMS
    In the rapidly evolving landscape of content management systems (CMS), choosing the right backend is more critical than ever. Developers are faced with a plethora of options, from traditional setups like WordPress to modern headless CMSs like Strapi, Contentful, and Sanity. At FireCMS, we've embraced Firebase as the backbone of our CMS, and in this article, we'll delve into the benefits of using Firebase over... - Source: dev.to / 7 months ago
  • Fire CMS, CMS based on Firebase 🚀
    FireCMS is a free, open-source headless CMS based on Firebase, that both developers and content manager will love 🚀 #firebase #cms #content. Source: about 2 years ago
  • What's the best CMS to start with if you're already a programmer?
    Been looking into fireCms.co an extendable gui for interacting with firebase Firestone and storage . Source: over 2 years ago
  • Any suggestions for an off-the-self UI for firestore.
    I like FireCMS. It requires a little bit of customization but it's very flexible. Source: over 2 years ago
View more

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 / 3 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 / 5 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 / 6 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 / 12 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 FireCMS and Plotly, you can also consider the following products

Blur Admin - Angular admin panel front-end framework

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.

Tabler - Admin panel made simple

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

Forest Admin - Execute fast and at scale with no time wasted on internal tools developed in-house.

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

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