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GnuPlot VS quantra

Compare GnuPlot VS quantra and see what are their differences

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GnuPlot logo GnuPlot

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

quantra logo quantra

A public API for quantitative finance made with Quantlib
  • GnuPlot Landing page
    Landing page //
    2022-12-13
  • quantra Landing page
    Landing page //
    2021-10-06

GnuPlot features and specs

  • Highly Customizable
    GnuPlot offers extensive customization options for creating plots, allowing users to tweak almost every aspect of the graph, including colors, labels, line styles, and more.
  • Scriptable
    GnuPlot can be driven by scripts, making it convenient for automating complex plots and integrating with other software workflows.
  • Wide Range of Output Formats
    It supports many output formats such as PNG, PDF, SVG, and EPS, making it easy to generate graphics for different purposes like presentations, publications, and web content.
  • Cross-Platform
    GnuPlot runs on multiple operating systems, including Windows, macOS, and Linux, ensuring that it can be used in diverse computing environments.
  • Complex Plotting Capabilities
    GnuPlot supports a wide variety of plots, including 2D and 3D plots, histograms, heatmaps, and more, which caters to the needs of advanced visualization requirements.
  • Performance
    GnuPlot is efficient and can handle large datasets with ease, offering fast rendering times which is crucial when dealing with complex visualizations.
  • Free and Open Source
    Being free and open-source software, GnuPlot is accessible to everyone, and users can modify the source code to suit their needs.

Possible disadvantages of GnuPlot

  • Steep Learning Curve
    GnuPlot has a complex syntax and a steep learning curve, especially for beginners who may find it difficult to get started without substantial effort.
  • Limited GUI
    GnuPlot lacks a full-featured graphical user interface (GUI), making it less user-friendly for those who prefer point-and-click interactions over scripting.
  • Documentation
    While comprehensive, the documentation can be overwhelming and difficult to navigate for new users trying to find specific information quickly.
  • Date Handling
    Handling and formatting dates can be cumbersome in GnuPlot, requiring more manual setup compared to other dedicated plotting tools.
  • Interactive Features
    GnuPlot's interactive plotting capabilities are limited compared to other modern plotting tools that offer more dynamic and real-time interactivity.
  • Integration
    Integration with some modern programming environments and languages may not be as seamless as with other plotting libraries specifically designed for those ecosystems (e.g., Matplotlib in Python).

quantra features and specs

  • Comprehensive Course Material
    Quantra offers a wide range of courses covering various aspects of algorithmic and quantitative trading, from beginner to advanced levels, which provides a solid foundation for learners to build their skills.
  • Hands-on Experience
    The platform emphasizes practical application by integrating interactive exercises and projects that allow learners to apply theoretical knowledge in real-world scenarios.
  • Expert Instructors
    Courses are designed and taught by industry professionals and experts, ensuring that the content is both relevant and up-to-date with current market practices.
  • Flexible Learning
    Quantra provides a self-paced learning structure, allowing users to tailor their study schedule according to their personal and professional commitments.
  • Access to Tools and Resources
    Learners have access to essential tools and resources such as coding platforms and data, which aid in practicing and honing their quantitative trading skills.

Possible disadvantages of quantra

  • Cost
    Some users may find the course fees to be on the higher side, which could be prohibitive for individuals with a limited budget.
  • Technical Complexity
    The courses, particularly advanced ones, can be highly technical and require a good understanding of mathematics and programming, which might be challenging for complete beginners.
  • Limited Peer Interaction
    As an online platform, Quantra might offer limited interaction with peers, which could impact the collaborative learning experience that some students prefer.
  • Focus on Algorithmic Trading
    While Quantra’s focus on algorithmic trading is a strength, it might not be ideal for learners interested in traditional trading methodologies or other financial domains.
  • Dependence on Self-Motivation
    As with many self-paced online courses, learners need a high degree of self-motivation and discipline to complete the courses and engage fully with the material.

Analysis of GnuPlot

Overall verdict

  • Gnuplot is generally considered to be a good choice for those looking for a reliable and flexible plotting tool, especially if the users need robust scriptability or work across different operating systems.

Why this product is good

  • Gnuplot is a powerful, portable, and multi-platform tool capable of producing high-quality 2D and 3D plots. It supports numerous output formats and can be used interactively or in scripts. Additionally, it has a large support community and extensive documentation, making it accessible for both beginners and advanced users.

Recommended for

  • Scientists and engineers who need to visualize data across diverse platforms.
  • Users comfortable working with command-line interfaces.
  • Individuals or teams needing to generate plots through automated scripts.
  • Those looking for a free and open-source alternative to other graphing tools.

GnuPlot videos

+ Add

Gnuplot Introduction

More videos:

  • Review - DTrace Latency Visualization in gnuplot
  • Review - Basics of Gnuplot - Make your plot look Good

quantra videos

+ Add

Become a successful Quant Trader at Quantra

More videos:

  • Review - Create a Trading Strategy in 30 minutes | Python for Finance | Quantra by QuantInsti
  • Review - Sneak Peek inside a trading firm | Why Python? | iRage HFT Firm | Quantra by QuantInsti

Category Popularity

0-100% (relative to GnuPlot and quantra)

GnuPlot

quantra

Technical Computing
100 100%
Technical Computing
0% 0
Finance
0 0%
Finance
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0
Development
0 0%
Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, GnuPlot seems to be more popular. It has been mentiond 5 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.

GnuPlot mentions (5)

  • Question about Project Management
    To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 2 years ago
  • How do I make a transparent background on .ps or .eps file imported to groff
    Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: about 2 years ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 2 years ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 2 years ago
  • Introducing Graphs
    Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 2 years ago

quantra mentions (0)

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

What are some alternatives?

When comparing GnuPlot and quantra, you can also consider the following products

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

Quantopian - Your algorithmic investing platform

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

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