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pre-commit by Yelp VS Quantopian

Compare pre-commit by Yelp VS Quantopian and see what are their differences

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pre-commit by Yelp logo pre-commit by Yelp

A framework for managing and maintaining multi-language pre-commit hooks

Quantopian logo Quantopian

Your algorithmic investing platform
  • pre-commit by Yelp Landing page
    Landing page //
    2022-01-08
  • Quantopian Landing page
    Landing page //
    2023-07-27

pre-commit by Yelp features and specs

  • Comprehensive Hook Management
    Pre-commit provides a robust framework to manage and configure git hooks in a standardized way, simplifying the process of ensuring code quality.
  • Language Agnostic
    Supports hooks written in all kinds of languages including Python, Ruby, JavaScript, etc., making it versatile and adaptable to any codebase.
  • Ease of Setup
    Installing and configuring pre-commit hooks is straightforward, often just involving the addition of a simple configuration file to the repository.
  • Version Control
    Pre-commit ensures that the same versions of hooks are consistently run across developers' environments by locking the version of each hook.
  • Centralized Configuration
    Project-wide configuration means that all contributors use the same hooks and settings, fostering code consistency and quality.

Possible disadvantages of pre-commit by Yelp

  • Learning Curve
    New users might face a learning curve initially when setting up a configuration file and understanding how to integrate it with existing workflows.
  • Performance Overhead
    Running hooks can add a noticeable delay when committing code, especially in larger projects with many hooks.
  • Dependency Management
    Some hooks might introduce additional dependencies that need to be managed within the project's environment.
  • Complex Configuration for Advanced Use
    While simple setups are easy, more complex configurations can become intricate and harder to manage.
  • Limited to Pre-defined Hooks
    If a desired hook isn't available, users may have to create their own, which can require additional effort and maintenance.

Quantopian features and specs

  • Community Collaboration
    Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
  • Access to Data
    Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
  • Comprehensive Development Environment
    It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
  • Educational Resources
    Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
  • Competition and Incentives
    Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages of Quantopian

  • Shutting Down Services
    Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
  • Limited Live Trading Options
    Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
  • Dependence on Platform
    Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
  • Resource Limitations
    There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
  • Portfolio Selection Process
    The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.

pre-commit by Yelp videos

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Quantopian videos

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Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

Category Popularity

0-100% (relative to pre-commit by Yelp and Quantopian)

pre-commit by Yelp

Quantopian

Git
100 100%
Git
0% 0
Finance
0 0%
Finance
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Development
0 0%
Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, pre-commit by Yelp seems to be more popular. It has been mentiond 150 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.

pre-commit by Yelp mentions (150)

  • Scalable Python backend: Building a containerized FastAPI Application with uv, Docker, and pre-commit: a step-by-step guide
    Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks, ensuring consistency and quality in your codebase by running checks before a commit is finalized. - Source: dev.to / 4 months ago
  • Crafting a Custom SAM Template for Your AWS Lambda Function, Resource, and Operations
    Just give you an idea of how to implement a template for serverless in your organization; you can create multiple cases and embed the practice of your organization to the template like pre-commit, cicd, lambda-layer-secret, lambda-layer-powertools and more. - Source: dev.to / 5 months ago
  • 12 Steps to Organize and Maintain Your Python Codebase for Beginners
    Instead of running these tools manually every time you make changes, you can automate the process with pre-commit hooks. Pre-commit hooks run automatically before each commit, blocking the commit if any tool fails. - Source: dev.to / 6 months ago
  • How I use git
    Our team is small and we use: 
      git hooks from https://pre-commit.com.
    - Source: Hacker News / 7 months ago
  • How to Estimate Cloud Costs with Terraform and InfraCost
    You can also add InfraCost as part of the pre-commit. With pre-commit, you can define some hooks that you can easily run before you push your code. There are multiple ways to install pre-commit, and you can find examples here. - Source: dev.to / 8 months ago
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Quantopian mentions (0)

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

What are some alternatives?

When comparing pre-commit by Yelp and Quantopian, you can also consider the following products

Python Poetry - Python packaging and dependency manager.

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.

EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.

quantra - A public API for quantitative finance made with Quantlib

mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.

CloudQuant - Crowd based algorithmic trading development and backtesing for stock market trading.

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