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Which is more popular?
Based on our record, TradingView
should be more popular than Matplotlib.
It has been mentioned 258 times since March 2021.
social mentions
114 vs 258
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
238 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
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
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.
User-friendly Interface TradingView offers a clean and intuitive interface that is easy for both beginners and experienced traders to navigate.
Comprehensive Charting Tools The platform provides a wide range of charting tools, including indicators, drawing tools, and customizable chart types to conduct in-depth technical analysis.
Cloud-based Platform Being cloud-based, TradingView allows users to access their charts and settings from any device with internet access, ensuring flexibility and convenience.
Social Community TradingView has a strong community aspect where users can share ideas, analysis, and strategies, fostering a collaborative environment.
Data Coverage The platform supports data from a variety of global markets, including stocks, forex, cryptocurrencies, and commodities, providing broad market coverage.
Pine Script TradingView offers its own scripting language, Pine Script, which allows users to create custom indicators and strategies.
Possible disadvantages
Subscription Cost While TradingView offers a free tier, advanced features and additional data require a subscription that may be costly for some users.
Limited Broker Integration The number of brokers integrated with TradingView for direct trading is limited, which may be a drawback for users whose preferred brokers are not supported.
Data Delays Free tier users may experience delays in data feeds, which can be critical during fast market movements.
Customization Restrictions Some advanced customization options for charts and tools are restricted to higher subscription levels.
Learning Curve for Pine Script Although powerful, Pine Script has a learning curve, which may be challenging for users who are not familiar with coding.
Analysis
An editorial look at what each product does well and who it suits.
MatplotlibTradingView
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.
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...
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...
TradingView has changed their pricing and many users are not happy, especially those who use replay and multiple alerts. If you use the platform for charting, analysis and notifications and the shift from 5 alerts to...
Overall, while TradingView is good for charting and casual testing, and it also has many other features for traders, besides backtesting. TradingView is good for traders who want to interact and trade in real-time but...
Recommendations tracked on public social media and blogs since March 2021.
Matplotlib114 mentionsTradingView258 mentions
The soul file
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review....
- Source: dev.to
/
8 months ago
Numbers are useful, but sometimes it’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...
- Source: dev.to
/
11 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
/
11 months ago
Investing.com is a financial markets platform (website & android/iOS app) providing real-time data, quotes, charts, financial tools, breaking news and analysis across 250 exchanges around the world in 44 language editions.
Compare Investing.com to Matplotlib or TradingView:
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
FinViz
MetaTrader5
Investing.com
TrendSpider
Seeking Alpha
GoCharting
Koyfin
