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Gotify VS Matplotlib

Compare Gotify VS Matplotlib and see what are their differences

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

Gotify logo Gotify

a simple self-hosted server for sending and receiving messages

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Gotify Landing page
    Landing page //
    2021-09-13
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Gotify features and specs

  • Open Source
    Gotify is open-source software, meaning its source code is publicly available. This allows users to inspect, modify, and distribute the software freely.
  • Self-Hosting Capable
    Users can self-host Gotify on their own servers, giving them full control over their data and message delivery.
  • Real-Time Notifications
    Gotify provides real-time notifications, ensuring that messages are delivered promptly.
  • Web UI and API
    Includes a web-based user interface for ease of management and a comprehensive API for integration with other systems.
  • Customizable
    Gotify supports message customization, including priority levels and message formatting, enabling users to tailor notifications to their needs.
  • Lightweight
    Gotify is designed to be lightweight, with minimal resource usage, making it suitable for a wide range of hosting environments.
  • Cross-Platform Support
    Gotify offers clients for multiple platforms, including mobile apps for both iOS and Android.

Possible disadvantages of Gotify

  • Requires Server Knowledge
    Setting up and maintaining a self-hosted instance of Gotify requires a certain level of technical knowledge and server management skills.
  • Maintenance Overhead
    Self-hosting Gotify means that users are responsible for keeping the software up-to-date and secure, potentially requiring ongoing attention.
  • Limited Ecosystem
    Compared to more established notification systems, Gotify has a smaller ecosystem in terms of plugins, integrations, and community support.
  • Message Delivery
    Since Gotify relies on self-hosting, the reliability of message delivery is dependent on the stability and performance of the user's server infrastructure.
  • Scalability Concerns
    Running Gotify on a small server might not scale well for high volumes of notifications, potentially requiring more complex infrastructure for larger use cases.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Gotify

Overall verdict

  • Overall, Gotify is considered a solid choice for individuals or organizations looking for a simple, self-hosted push notification system without the complexities and costs of third-party services. Its focus on privacy, control, and ease of use make it especially attractive to tech-savvy users or those with specific requirements for data hosting.

Why this product is good

  • Gotify is often praised for its simplicity and open-source nature, making it appealing for users who need straightforward server-side push notification solutions. It supports self-hosting, which allows for greater control over data privacy and server customization. Additionally, Gotify is known for its ease of integration, thanks to its REST API, and the flexibility it offers in terms of notification management and customization.

Recommended for

  • Developers and tech enthusiasts seeking a self-hosted push notification solution.
  • Organizations that prioritize data privacy and need greater control over their notification infrastructure.
  • Users looking for an uncomplicated and easily customizable push notification service.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Gotify videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Gotify and Matplotlib)

Gotify

Matplotlib

Push Notifications
100 100%
Push Notifications
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Push Notifications
100 100%
Web Push Notifications
0% 0
Technical Computing
0 0%
Technical Computing
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 Gotify and Matplotlib

Gotify Reviews

Self Hosting Like Its 2025
Gotify is a notification management software. You can install the app on your phone and receive notifications, which can be triggered by a simple web request. There are also integrations with lots of other self-hosted software like Uptime Kuma. Really handy.
Source: kiranet.org
35 Best Free Push Notification Services and Tools (+ Open Source Push Notification Services to Consider)
Gotify is an open-source notification solution written in the Go programming language. The service can be self-hosted without incurring any charges for notifications, and it also has API-support, making development easier. Detailed documentation for the application is available at the Gotify website.
Source: www.magicbell.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Gotify. It has been mentiond 114 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.

Gotify mentions (38)

  • Ntfy.sh โ€“ Send push notifications to your phone via PUT/POST
    I do use gotify [1] which seems to be pretty much the same, and does the job quite well. Not sure how they compare, does ntfy goes through Google / Apple network or it's directly connected to your server instance? [1] https://gotify.net/. - Source: Hacker News / 30 days ago
  • Pushover
    Gotify is a self-hosted notification server with a clean web UI for managing applications and messages. Each application gets its own token, and messages arrive via WebSocket โ€” no polling, no push service dependency. - Source: dev.to / 4 months ago
  • The EU could be scanning your chats by October 2025
    I was reflecting on the whole chat apps and protocols the other day and felt we might just have trapped ourselves artificially. If I want to casually keep in touch with a friend, I am supposed to have the following options: - SMS/RCS: no need for an app but is controlled - WhatsApp: no good to many reasons - Signal: how can you believe it is not controlled once it becomes the mandatory app in the US Gov. - Matrix:... - Source: Hacker News / 11 months ago
  • How to start a background service in Flutter that runs forever and listens on a WebSocket?
    You can self-host a notification service using https://gotify.net/ for example, but you may need to ask the user to disable battery usage restrictions if you don't want the OS to kill the background process. Source: about 3 years ago
  • Opposite version of healthchecks
    If you do not need the state tracking, but instead need something that can deliver push notifications to you, check out ntfy and gotify. Source: about 3 years ago
View more

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Gotify and Matplotlib, you can also consider the following products

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Pushbullet - Pushbullet - Your devices working better together

NumPy - NumPy is the fundamental package for scientific computing with Python

Ntfy - Send notifications to your phone via HTTP

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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