Software Alternatives, Accelerators & Startups

Matplotlib VS Vega

Compare Matplotlib VS Vega and see what are their differences

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.

Matplotlib logo Matplotlib

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

Vega logo Vega

Subgraph Vega | Free and Open Source Web Application Vulnerability and Security Scanner
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Vega Landing page
    Landing page //
    2023-06-27

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.

Vega features and specs

  • Decentralized Trading
    Vega offers a decentralized platform for trading derivatives, removing the need for a central authority and providing users with more control and transparency in their trades.
  • Custom Market Creation
    Users can create and launch their own markets on Vega, allowing for innovative and unique trading opportunities tailored to specific needs.
  • High Performance
    Designed for efficient execution of trades with low latency and high throughput, Vega provides a fast and reliable trading experience.
  • Comprehensive Risk Management
    Vega includes built-in risk management tools to help users mitigate potential losses and manage their trading strategies effectively.
  • Open Architecture
    Vega's protocol is open-source, allowing developers to build upon and integrate with it, fostering a community-driven approach to its development.

Possible disadvantages of Vega

  • Complexity
    The advanced features and flexibility of Vega can be overwhelming for new users, potentially requiring a steep learning curve to fully understand and utilize.
  • Regulatory Uncertainty
    As with many decentralized finance platforms, Vega's operations may be subject to evolving regulatory environments, which could impact its accessibility and legality in certain regions.
  • Market Adoption
    Initially, there might be a limited number of users and markets available on the platform, affecting liquidity and the overall trading experience.
  • Technical Risks
    Vega, being a relatively new platform, may face technical risks and bugs that could affect its functionality, security, and user trust.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Vega videos

Vega One All-In-One Vegan Protein Powder Review

More videos:

  • Review - VEGA PROTEIN & GREENS | VEGAN PROTEIN REVIEW
  • Review - RX Vega 56 & 64 are HERE! Are they HOT or NOT?

Category Popularity

0-100% (relative to Matplotlib and Vega)
Technical Computing
100 100%
0% 0
Web Application Security
0 0%
100% 100
Data Science And Machine Learning
Security
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 Vega

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 doesn’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...

Vega Reviews

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

Based on our record, Matplotlib seems to be more popular. It has been mentiond 107 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.

Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 1 month ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 8 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

Vega mentions (0)

We have not tracked any mentions of Vega yet. Tracking of Vega recommendations started around Mar 2021.

What are some alternatives?

When comparing Matplotlib and Vega, 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.

Shodan - Shodan is the world's first search engine for Internet-connected devices.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

w3af - w3af is a Web Application Attack and Audit Framework

Plotly - Low-Code Data Apps

Nikto - Nikto is an Open Source (GPL) web server scanner which performs comprehensive tests against web...