Software Alternatives, Accelerators & Startups
Register | Login

Quantopian VS Python Poetry

Compare Quantopian VS Python Poetry and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Quantopian logo Quantopian

Your algorithmic investing platform

Python Poetry logo Python Poetry

Python packaging and dependency manager.
  • Quantopian Landing page
    Landing page //
    2023-07-27
  • Python Poetry Landing page
    Landing page //
    2022-11-12

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.

Python Poetry features and specs

  • Dependency Management
    Python Poetry provides a robust system for managing project dependencies, making it easy to specify, install, and update packages.
  • Simplified Configuration
    It uses a clear and concise `pyproject.toml` file for configuration, which simplifies the setup process compared to other tools.
  • Environment Isolation
    Automatically manages virtual environments, ensuring that dependencies are isolated and do not interfere with each other.
  • Consistent Builds
    Poetry can lock dependencies to exact versions, ensuring consistent and repeatable builds across different environments.
  • Publishing Tools
    Includes built-in tools for publishing packages to PyPI, making the distribution process straightforward and streamlined.

Possible disadvantages of Python Poetry

  • Learning Curve
    Requires users to learn new commands and techniques, which can be a barrier for those familiar with other tools like pip and virtualenv.
  • Performance
    Dependency resolution and installation processes can sometimes be slower compared to tools like pip, especially for large projects.
  • Compatibility
    May have compatibility issues with certain packages or tools that expect a different environment or dependency management system.
  • Community Support
    While growing, the community and ecosystem around Poetry are not as large or mature as those around more established tools.
  • Limited IDE Integration
    Integration with some Integrated Development Environments (IDEs) might not be as seamless as for more widely used tools, potentially impacting productivity.

Quantopian videos

+ Add

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

Python Poetry videos

+ Add

My Poetry is BAD

Category Popularity

0-100% (relative to Quantopian and Python Poetry)

Quantopian

Python Poetry

Finance
100 100%
Finance
0% 0
Kids
0 0%
Kids
100% 100
Development
100 100%
Development
0% 0
Front End Package Manager
0 0%
Front End Package Manager
100% 100

User comments

Share your experience with using Quantopian and Python Poetry. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Python Poetry seems to be more popular. It has been mentiond 162 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.

Quantopian mentions (0)

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

Python Poetry mentions (162)

  • Say Hello to UV: A Fast Python Package & Project Manager Written in Rust
    If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / 16 days ago
  • ⚡️PipZap: Zapping the mess out of the Python dependencies
    First, there was pip. Combined with a requirements.txt, it seemed like a great idea – a straightforward method to declare dependencies explicitly. Luckily, we quickly realized this method tends to spiral into chaos, particularly when developers use "tricks" like pip freeze to lock dependencies rigidly. Fortunately, the Python ecosystem has evolved, introducing modern solutions like Poetry and now uv, offering... - Source: dev.to / about 1 month ago
  • How to write an AsyncIO Telegram bot in Python
    Anyway, enough reminiscing about the past, this is not intended to be the ultimate guide on asynchronous programming, but a more pragmatic quick-start guide I wish I had back then. Assuming we are in a properly managed project (either through tools like poetry or uv), let’s start with a new module telegram.py for our telegram bot. Remember to add python-telegram-bot dependency to the project. - Source: dev.to / about 2 months ago
  • Managing Python Deps with Poetry
    Managing dependencies in Python projects can often become cumbersome, especially as projects grow in complexity. Poetry is a modern dependency management and packaging tool that simplifies this process, offering a streamlined way to create, manage, and distribute Python projects. - Source: dev.to / 3 months ago
  • Why You Should Rethink Your Python Toolbox in 2025
    Learn more about poetry here . It’s a great tool. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Quantopian and Python Poetry, you can also consider the following products

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.

Conda - Binary package manager with support for environments.

quantra - A public API for quantitative finance made with Quantlib

pip - The PyPA recommended tool for installing Python packages.

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

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

Loading...