quantitative VS pandas_talib

Compare quantitative vs pandas_talib and see what are their differences.

quantitative

quantitative - Quantitative finance back testing library (by jeffrey-liang)

pandas_talib

A Python Pandas implementation of technical analysis indicators (by femtotrader)
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quantitative pandas_talib
1 1
57 698
- -
10.0 10.0
about 5 years ago almost 6 years ago
Python Python
- MIT License
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.

quantitative

Posts with mentions or reviews of quantitative. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

pandas_talib

Posts with mentions or reviews of pandas_talib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

What are some alternatives?

When comparing quantitative and pandas_talib you can also consider the following projects:

pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

trade

pyalgotrade - Python Algorithmic Trading Library

bt - bt - flexible backtesting for Python

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

algobroker - Algo execution engine

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

zipline - Zipline, a Pythonic Algorithmic Trading Library