zipline VS fast-trade

Compare zipline vs fast-trade and see what are their differences.

zipline

Zipline, a Pythonic Algorithmic Trading Library (by quantopian)

fast-trade

low code backtesting library utilizing pandas and technical analysis indicators (by jrmeier)
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zipline fast-trade
14 12
16,997 334
0.8% -
0.0 3.7
about 2 months ago 1 day ago
Python Python
Apache License 2.0 GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

zipline

Posts with mentions or reviews of zipline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-26.

fast-trade

Posts with mentions or reviews of fast-trade. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-28.

What are some alternatives?

When comparing zipline and fast-trade you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies

pyfolio - Portfolio and risk analytics in Python

backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

quantstats - Portfolio analytics for quants, written in Python

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

bcolz - A columnar data container that can be compressed.

jesse - An advanced crypto trading bot written in Python

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python