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Backtrader VS PyLint

Compare Backtrader VS PyLint and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Backtrader logo Backtrader

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

PyLint logo PyLint

Pylint is a Python source code analyzer which looks for programming errors.
  • Backtrader Landing page
    Landing page //
    2021-09-30
  • PyLint Landing page
    Landing page //
    2023-09-22

Backtrader features and specs

  • Versatility
    Backtrader supports a wide variety of data sources and formats, as well as different types of financial instruments, allowing for extensive backtesting and live trading capabilities.
  • Community and Documentation
    The platform has a strong community and comprehensive documentation, making it easier for new users to get started and for experienced users to troubleshoot and optimize their strategies.
  • Python Integration
    Written in Python, Backtrader allows users to leverage Python's extensive ecosystem of libraries for data analysis, machine learning, and other financial computations.
  • Open Source
    As an open-source project, users can modify and extend the platform to meet their specific trading and testing needs without restrictions, and contribute to its development.
  • Flexibility in Strategy Design
    Backtrader offers a flexible and intuitive framework to design complex trading strategies, enabling users to test multiple strategies with different parameters efficiently.

Possible disadvantages of Backtrader

  • Steep Learning Curve
    Despite its flexibility, new users may find Backtrader's extensive features and options overwhelming, requiring a significant amount of time to learn and effectively utilize.
  • Performance Issues
    For very large datasets, Backtrader might experience performance bottlenecks or require additional optimization, as Python is not the fastest language for high-frequency backtesting.
  • Limited Technical Support
    As a community-driven open-source project, Backtrader might lack the formal technical support and customer service that comes with commercial trading platforms.
  • Complexity in Live Trading
    Transitioning from backtesting to live trading can require significant additional setup and potential custom development, especially in integrating broker APIs.
  • Outdated Resources
    Some educational materials and tutorials may be outdated, leading to confusion due to interface or feature updates that are not well-documented.

PyLint features and specs

  • Extensive Error Checking
    PyLint provides comprehensive checks for errors in Python code, including syntax errors, structural problems, and more complex issues like unused variables and undefined names.
  • Customizability
    PyLint allows users to configure which types of errors and warnings they want to check for through configuration files, making it adaptable to different coding standards and preferences.
  • Integration with Development Tools
    PyLint can be integrated with various IDEs and editors such as Visual Studio Code, PyCharm, and more, enhancing the development workflow by providing real-time feedback.
  • Code Quality Metrics
    It offers additional metrics and ratings for code quality, helping developers understand the complexity and maintainability of their code.
  • Code Refactoring Support
    PyLint suggests specific code improvements and refactorings, which can enhance the readability and performance of the code.

Possible disadvantages of PyLint

  • Performance Overhead
    Analyzing large codebases can be slow with PyLint, impacting performance and increasing the time taken for continuous integration pipelines to run.
  • False Positives
    PyLint can generate false positive warnings, particularly in complex or dynamically-typed code, which might lead to developers spending time investigating non-issues.
  • Steep Learning Curve
    The initial setup and configuration of PyLint can be challenging for new users who are not familiar with its extensive customization options.
  • Strictness
    PyLint is very strict by default, which might overwhelm developers, especially those working in less formal or rapid development environments, with a high volume of warnings and errors.
  • Compatibility Issues
    There might be compatibility issues with certain Python versions or specific coding patterns, leading to inaccurate linting results or the need for frequent adjustments to configurations.

Backtrader videos

+ Add

Backtrader Python Review

More videos:

  • Review - Algorithmic Trading with Python and Backtrader (Part 1)
  • Review - Backtrader Live Forex Trading with Interactive Brokers (Part 1)

PyLint videos

+ Add

Pylint Tutorial – How to Write Clean Python

More videos:

  • Tutorial - How to write pylint plugins

Category Popularity

0-100% (relative to Backtrader and PyLint)

Backtrader

PyLint

Finance
100 100%
Finance
0% 0
Code Analysis
0 0%
Code Analysis
100% 100
Development
100 100%
Development
0% 0
Code Coverage
0 0%
Code Coverage
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 Backtrader and PyLint

Backtrader Reviews

We have no reviews of Backtrader yet.
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PyLint Reviews

7 best recommended IntelliJ IDEA Python plugins - Programmer Sought
As the name suggests, this plugin is a Python linter. It provides real-time and on-demand scanning of Python files with Pylint ideas from your Intellij. Pylint is an open source project, so it can be fully customized according to your needs. In addition, Pylint has a lot of documentation on the plugin website.
Source: www.programmersought.com

Social recommendations and mentions

Based on our record, PyLint should be more popular than Backtrader. It has been mentiond 13 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.

Backtrader mentions (3)

  • My reality of trading and how i wish i had never started.
    I do like what I see and hear about backtrader.com. I would say they are a notable exception to my general rule of not trusting or using backtesting frameworks. However, I still think it is important to understand how the framework you are using works. So if you are using backtrader for backtesting you still need to put in the time to understand the backtesting engine. Source: about 2 years ago
  • My reality of trading and how i wish i had never started.
    What about backtrader.com? And I feel like it would be step 2 after you at least have something to backtrade and test haha. Source: about 2 years ago
  • I need to know what can go wrong with my 'masterplan'
    Backtesting is basically applying your strategy on historical price data to see if it makes money. I've used Backtrader it works decently well: https://backtrader.com/. Source: over 3 years ago

PyLint mentions (13)

  • Nix-Powered Python Development
    These requirements are not too uncommon. I have seen many projects with similar setup, with alternatives such as tox instead of nox, or black and pylint instead of ruff, etc. - Source: dev.to / 6 days ago
  • Nix Flake Templates
    Use pylint and flake8 for linting and static analysis. - Source: dev.to / 8 days ago
  • The Cloud Resume Challenge - GCP :)
    I used Pylint to perform basic test on the code and for the security bit I used snyk SCM to check for vulnerabilities within my code and it's dependencies. - Source: dev.to / over 2 years ago
  • I'm being told that one of my projects on GitHub is poorly coded. Can anyone tell me why? The only thing I see ugly, not necessary wrong or poorly coded, is the two variables with the list of iPhone models, and the incredibly long if, elif, and else statements.
    Pylint - https://pylint.pycqa.org/en/latest/ Black - https://black.readthedocs.io/en/stable/. Source: over 2 years ago
  • API pull into pandas with formatting.
    Your code isn't PEP-8 compliant. Use black or autopep8 on your code to auto-format your code, or at least use pylint to check for issues, before asking anyone else to read your code. Source: almost 3 years ago
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What are some alternatives?

When comparing Backtrader and PyLint, you can also consider the following products

quantra - A public API for quantitative finance made with Quantlib

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

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.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

Quantopian - Your algorithmic investing platform

Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free

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