Software Alternatives, Accelerators & Startups

PySpark VS Quantopian

Compare PySpark VS Quantopian and see what are their differences

PySpark logo PySpark

PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

Quantopian logo Quantopian

Your algorithmic investing platform
  • PySpark Landing page
    Landing page //
    2023-08-27
  • Quantopian Landing page
    Landing page //
    2023-07-27

PySpark videos

Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

Quantopian videos

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

Category Popularity

0-100% (relative to PySpark and Quantopian)
No Code
100 100%
0% 0
Finance
0 0%
100% 100
Project Management
100 100%
0% 0
Tool
0 0%
100% 100

User comments

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What are some alternatives?

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

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

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa

Streak.world - Streak.world is one of the leading algo trading platforms, allowing you to design an algorithm to automate your trading strategies without any coding skills needed.