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Plotly VS Ntfy

Compare Plotly VS Ntfy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Ntfy logo Ntfy

Send notifications to your phone via HTTP
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Ntfy Landing page
    Landing page //
    2023-09-07

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.

Ntfy features and specs

  • Ease of Use
    Ntfy offers a simple and intuitive interface for sending notifications. Its straightforward design means users can get started quickly without a steep learning curve.
  • Self-Hosted Option
    Allows users to host their own notification server, providing greater control over data and customization options.
  • Open Source
    Being open source, it allows developers to inspect, modify, and contribute to the source code, promoting transparency and community engagement.
  • Cross-Platform Support
    Supports multiple platforms, including Android, iOS, and web, ensuring notifications can be received on a wide range of devices.
  • Web Push Notifications
    The ability to send notifications directly to a web browser adds convenience and accessibility for web-based applications.
  • Cost-Effective
    Offers a free-tier service which is beneficial for small-scale users or developers who need a simple notification service without incurring costs.

Possible disadvantages of Ntfy

  • Limited Features
    Compared to other notification services, Ntfy may lack some advanced features, such as detailed analytics or deep customization, that businesses might need.
  • Scalability Concerns
    For larger organizations, scaling self-hosted solutions can be challenging, requiring significant resources and expertise.
  • Community Support
    While it is open source, the community around Ntfy may be smaller compared to larger, more established platforms, potentially limiting support options.
  • Potential for Downtime
    Self-hosting the service introduces a risk of downtime, especially if the infrastructure is not managed properly, impacting notification reliability.
  • Security Management
    Self-hosted solutions require users to manage security updates and configurations, which could be a disadvantage for those without sufficient technical knowledge.

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.

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

Ntfy videos

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

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Category Popularity

0-100% (relative to Plotly and Ntfy)

Plotly

Ntfy

Data Visualization
100 100%
Data Visualization
0% 0
Cron Monitoring
0 0%
Cron Monitoring
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Cron
0 0%
Cron
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 Plotly and Ntfy

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

Ntfy Reviews

We have no reviews of Ntfy yet.
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Social recommendations and mentions

Based on our record, Ntfy should be more popular than Plotly. It has been mentiond 82 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.

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 / 4 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

Ntfy mentions (82)

  • Anthropic reset everyone's Claude limits. I found out 5 hours late
    I didn't want another app. I wanted a push notification that says "limits got reset, go use them". Turns out you can get pretty far with three public feeds and ntfy.sh, which is a free push service that needs no account:. - Source: dev.to / 13 days ago
  • Push SignalK alarms to your phone with a zero-dependency relay
    Const { test } = require('node:test'); Const assert = require('node:assert'); Test('edge-triggering fires once per transition', () => { const seen = []; const opts = { minSeverity: 'warn', topic: 't', server: 'https://ntfy.sh' }; const send = (path, v, s) => seen.push(s); step(opts, 'notifications.x', 'warn', send); // fire step(opts, 'notifications.x', 'warn', send); // repeat โ€” skip step(opts,... - Source: dev.to / 29 days ago
  • My homelab stack in 2026: what runs, why, and how it all connects
    Ntfy is the thread that ties the whole async event model together. It's a self-hosted push notification server. HTTP POST to a topic, and every subscribed client gets a notification. Woodpecker sends build results here. WUD sends image update alerts here. Home Assistant sends automation notifications here. Having one place where things send notifications means I can manage subscriptions in one app and stop... - Source: dev.to / about 1 month ago
  • Ask HN: What are tools you have made for yourself since the advent of AI
    I wrote NerdCalci (https://github.com/vishaltelangre/NerdCalci), a free calculator app for Android. Besides, I made a lot of automation scripts (mostly using Ruby) that run on my raspberry pi to fetch/parse/crunch things and notify me on my Android phone through a self-hosted https://ntfy.sh server. - Source: Hacker News / about 1 month ago
  • Build an Unusual Options Activity Scanner With Python and Free Data
    2. Delivery. I push the top alerts to a Telegram channel using a bot. You could also use ntfy.sh (free, self-hostable) or plain email via smtplib. - Source: dev.to / 3 months ago
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What are some alternatives?

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

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.

Gotify - a simple self-hosted server for sending and receiving messages

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

Pushover - Real-time notifications on your Android, iPhone, iPad, and Desktop

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.

LogSnag - A real-time feed of events for your projects

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