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quantra VS LabPlot

Compare quantra VS LabPlot and see what are their differences

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quantra logo quantra

A public API for quantitative finance made with Quantlib

LabPlot logo LabPlot

LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
  • quantra Landing page
    Landing page //
    2021-10-06
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

FEATURE HIGHLIGHTS

  • High-quality data visualization and interactive plotting
  • Data analysis, statistics, nonlinear regression, curve and peak fitting
  • Fast computing with interactive notebooks (for Python, R, Julia, Maxima and more)
  • Data extraction from images (Plot Digitizer)
  • Smooth data import and export to and from multiple formats (CSV, JSON, ODS, XLSX, Origin, SAS, Stata, SPSS, MATLAB, SQL, MQTT, BLF, HDF5, FITS, ROOT (CERN), LTspice, Ngspice and more)
  • Available for Windows, macOS, Linux, FreeBSD, Haiku, GNU

A full list of features: https://labplot.kde.org/features

Video tutorials: https://www.youtube.com/@LabPlot

Communication channels: https://labplot.kde.org/support

Get it here: https://labplot.kde.org/download

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.

LabPlot features and specs

  • Open Source
    LabPlot is free and open source, allowing users to modify and distribute the software without any cost.
  • Integration with KDE
    LabPlot is part of the KDE software collection, offering seamless integration with other KDE applications and a consistent look and feel.
  • Multiplatform Support
    LabPlot is available on various platforms, including Linux, Windows, and macOS, making it accessible to a wide range of users.
  • Extensive Plotting Features
    LabPlot offers a wide range of plotting capabilities, including 2D and 3D plots, which can accommodate diverse scientific and engineering needs.
  • Customizability
    Users can customize plots extensively in LabPlot, adjusting parameters such as plot style, color, and data presentation to suit their specific needs.

Possible disadvantages of LabPlot

  • Steeper Learning Curve
    Due to its comprehensive features, new users might find LabPlot challenging to learn and may require time to become proficient.
  • Limited Community Support
    While there is a community around LabPlot, the size is relatively small compared to more widely used plotting tools, potentially limiting peer support.
  • Performance Issues with Large Datasets
    LabPlot may experience performance slowdowns when handling very large datasets, which can hinder productivity for users working with such data.
  • Less Frequent Updates
    LabPlot may receive updates less frequently than some commercial software, possibly affecting the pace of new feature integration.

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

LabPlot videos

+ Add

How to fit a curve using LabPlot

More videos:

  • Tutorial - Quick Statistics and Visual Overview of Data in LabPlot
  • Tutorial - How to export publication-quality plots from LabPlot
  • Tutorial - Your First Data Import and Visualization in LabPlot

Category Popularity

0-100% (relative to quantra and LabPlot)

quantra

LabPlot

Finance
100 100%
Finance
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Development
100 100%
Development
0% 0
Office & Productivity
0 0%
Office & Productivity
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 quantra and LabPlot

quantra Reviews

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LabPlot Reviews

  1. Mark

    LabPlot provides extensive capabilities for data import and export, along with tools for analysis, curve fitting, nonlinear regression and interactive visualization, including live data support. Users can export graphs in various formats and utilize a built-in plot digitizer to extract data from existing charts. Additionally, if users are familiar with programming languages such as Python or R, they can leverage these within LabPlot's interactive notebooks.

What are some alternatives?

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

Quantopian - Your algorithmic investing platform

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

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.

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

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

DataMelt - DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

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