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Matplotlib VS Coin Push

Compare Matplotlib VS Coin Push and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Coin Push logo Coin Push

Get timely notifications before the price action begins. You never miss crypto trading opportunities.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Coin Push Landing page
    Landing page //
    2022-05-02

Coin Push server collects live data from most popular exchanges using APIs. Runs complex mathematical functions on the fly to detect possible squeezes and trend-breaks. Now with live charts including 1 second candles!

It aims to replace day traders chart tracking/analyzing efforts as much as possible.

When certain conditions are met on the crypto charts, signals get created and are sent to your mobile phone as instant notifications. You can catch intraday trend breaks and big price movements by following the notifications of the app.

No fortune-telling. Total mathematics!

Matplotlib

Website
matplotlib.org
$ Details
Platforms
-
Release Date
-
Edit details

Coin Push

Website
coinpush.app
$ Details
freemium $7.49 / Monthly (Premium subscription)
Platforms
iOS Android
Release Date
2021 August
Edit details

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.

Coin Push features and specs

  • User-Friendly Interface
    Coin Push offers a clean and intuitive interface that is easy for users, even beginners, to navigate and use effectively.
  • Real-Time Data
    The app provides real-time cryptocurrency data and analytics, empowering users to make informed decisions promptly.
  • Customizable Alerts
    Users can set up customized alerts for specific cryptocurrencies, ensuring they stay updated on significant price movements.
  • Comprehensive Analytics
    Coin Push provides thorough analytics and charts, helping users to analyze trends and make strategic trading moves.

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.

Analysis of Coin Push

Overall verdict

  • Coin Push is a solid mobile-focused crypto tracking and alerts app for users who want real-time price notifications and portfolio monitoring, though as with any crypto tool you should verify its features and security independently before relying on it for financial decisions.

Why this product is good

  • Provides real-time cryptocurrency price alerts and push notifications to keep you updated on market movements
  • Offers portfolio tracking so you can monitor your holdings in one convenient place
  • Designed with a mobile-first, user-friendly interface for on-the-go access
  • Supports a wide range of coins and tokens for broad market coverage
  • Free to start, making it accessible for casual and beginner users

Recommended for

  • Active crypto traders who need timely price alerts
  • Investors wanting to track their portfolio performance easily
  • Beginners looking for a simple, mobile-friendly entry into crypto monitoring
  • Users who prefer managing their crypto watchlist and notifications from their phone

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Coin Push videos

+ Add

How much money does a coin pusher make?

More videos:

  • Review - THE TRUTH ABOUT COIN PUSHERS (EXPOSED)
  • Review - LGR - Are There ANY Good Coin Pushers for Mobile?

Category Popularity

0-100% (relative to Matplotlib and Coin Push)

Matplotlib

Coin Push

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Trading
0 0%
Trading
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Signals
0 0%
Signals
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 Matplotlib and Coin Push

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

Coin Push Reviews

We have no reviews of Coin Push yet.
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Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Coin Push. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Coin Push. 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.

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 / 5 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 / 8 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

Coin Push mentions (1)

  • An app for crypto day traders: Coin Push Crypto Signals
    The story started when I wanted to build an app for myself that tracks crypto price trends. I crafted a formula that calculates the overlap of candle sticks on price charts, and that became the magic formula for Coin Push. Source: almost 5 years ago

What are some alternatives?

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

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

ChartScout.io - Scan 1,000+ crypto pairs for patterns like rising wedges & triangles in real time. Get Discord/email alerts no API keys needed. Free tier available.

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

altFINS - Scan, Analyze, and Trade altcoins

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

3commas - 3commas.io provides tools for cryptocurrency traders and investors.

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