quantstats VS Empyrial

Compare quantstats vs Empyrial and see what are their differences.

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quantstats Empyrial
9 7
4,293 864
- -
4.8 8.1
15 days ago 3 months ago
Python Python
Apache License 2.0 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.

quantstats

Posts with mentions or reviews of quantstats. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-27.

Empyrial

Posts with mentions or reviews of Empyrial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

What are some alternatives?

When comparing quantstats and Empyrial you can also consider the following projects:

finta - Common financial technical indicators implemented in Pandas.

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Portfolio-Report-Generator - A program which allows the user to enter positions and their allocation to get return metrics and data on the underlying positions.

alphalens - Performance analysis of predictive (alpha) stock factors

zipline - Zipline, a Pythonic Algorithmic Trading Library

senate-stock-watcher-data - Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

fast-trade - low code backtesting library utilizing pandas and technical analysis indicators

goplan-app - An intuitive portfolio mangaer !

qtpylib - QTPyLib, Pythonic Algorithmic Trading

The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]

Finance - Study resources for quantitative finance