Software Alternatives, Accelerators & Startups

Matplotlib VS TrendSpider

Compare Matplotlib VS TrendSpider and see what are their differences

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Matplotlib logo Matplotlib

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

TrendSpider logo TrendSpider

TrendSpider Automated Technical Analysis Software is Trading Software for Day and Swing Traders that can Automatically analyze Stocks, ETFs, Forex, FX and Crypto charts in real time using cloud-based AI and powerful algorithms.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • TrendSpider Landing page
    Landing page //
    2023-08-20

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.

TrendSpider features and specs

  • Automated Technical Analysis
    TrendSpider provides automated technical analysis tools that can save time for traders by automatically identifying trends, patterns, and technical indicators in charts.
  • Backtesting Capabilities
    Users can backtest trading strategies to see how they would have performed in the past, allowing for more data-driven decision-making.
  • Multi-Timeframe Analysis
    The platform allows users to conduct analysis across multiple timeframes on a single chart, offering a more comprehensive view of the market.
  • Dynamic Alerts
    TrendSpider offers dynamic alerts that can be set on a variety of conditions, such as trendline breaks and indicator crossovers, keeping traders informed without constant monitoring.
  • Customizable Indicators
    There is a wide array of customizable technical indicators, which gives traders the ability to tailor their analysis according to specific preferences or strategies.

Possible disadvantages of TrendSpider

  • Learning Curve
    Due to the platform's extensive features and tools, new users may face a steep learning curve to fully utilize all functionalities.
  • Pricing
    TrendSpider is a premium tool, and its cost might be prohibitive for casual traders or those with a limited budget.
  • Complexity for Beginners
    While powerful, the complexity of the platform can be overwhelming for novice traders who may prefer simpler solutions.
  • Internet Dependence
    Being a web-based platform, TrendSpider requires a reliable internet connection for smooth operation, which may be a drawback in areas with poor connectivity.

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.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

TrendSpider videos

TrendSpider Review: Advanced Technical Analysis Platform

More videos:

  • Review - A full review of TrendSpider (and why I switched from TradingView)
  • Review - TrendSpider Review- My "Secret Weapon" for the markets!

Category Popularity

0-100% (relative to Matplotlib and TrendSpider)
Data Science And Machine Learning
Finance
0 0%
100% 100
Technical Computing
100 100%
0% 0
Trading
0 0%
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 TrendSpider

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.
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.
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.
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...

TrendSpider Reviews

13 BEST TradingView Alternative for Equity, Crypto & Forex
TrendSpider is the smartest chart analysis software that helps Crypto and Forex traders make more intelligent, more efficient and accurate trading decisions. It offers a wide range of charts related to automating manual technical analysis.
Source: www.guru99.com
TradingView Alternatives 2024: Best Paid & Free Competitors
TrendSpider supports over 55,000 assets spanning US stocks & ETFs, indices, futures, FX, and major crypto exchanges. However, it doesnโ€™t support broker integrations, so it canโ€™t be used for stock or crypto trading like TradingView. This is one of the reasons I select TradingView as the best TrendSpider alternative.
5 TradingView Alternatives For Crypto & Forex Market [2020]
TrendSpider is the smartest chart analysis software which is designed to help Crypto and Forex traders like you (beginners or advanced) make more intelligent, more efficient trading decisions.

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than TrendSpider. While we know about 114 links to Matplotlib, we've tracked only 6 mentions of TrendSpider. 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
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TrendSpider mentions (6)

  • Ownership Section in Financial Analysis
    Corrected sentence: Every data costs money, but I believe that public data/information must be accurate and visually appealing. Among so many competitions, websites like simply.ws , fastgraph.com , and trendspider.com they must provide better info. Source: over 3 years ago
  • Skate where the puck is going, Fidelity!
    If the mobile app revamp is any suggestion of where Fidelity intends to go, Iโ€™d like to suggest they acquire TrendSpider, the small trading platform. Source: over 3 years ago
  • API or library for technical indicatoriesthat permits commercial use?
    As for alternatives, I looked a bit into this but I haven't actually used it. Definitely recommend checking out their videos for a while first (they have a youtube channel). https://trendspider.com. Source: almost 4 years ago
  • Trying to give back a bit with Trendspider
    Pricing is between $400 - $1200 / yr depending on your use case. 7 day free trial. Usually do 50% off on black friday. https://trendspider.com/. Source: almost 4 years ago
  • Show HN: Feather โ€“ 90% of the Bloomberg Terminal, for 5% of the Price
    How does it compare to something like Tradytics or Trend Spider? https://tradytics.com/ https://trendspider.com/. - Source: Hacker News / about 4 years ago
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What are some alternatives?

When comparing Matplotlib and TrendSpider, 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.

TradingView - The best charting tool for crypto and stocks

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

GoCharting - GoCharting is a modern financial analytics platform offering world-class trading and charting experience.

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

FinViz - Stock screener for investors and traders, financial visualizations.