mlfinlab VS okama

Compare mlfinlab vs okama and see what are their differences.

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mlfinlab okama
126 5
3,779 185
1.0% 2.7%
0.0 9.0
7 months ago 2 months ago
Python Python
GNU General Public License v3.0 or later 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.

mlfinlab

Posts with mentions or reviews of mlfinlab. We have used some of these posts to build our list of alternatives and similar projects.

okama

Posts with mentions or reviews of okama. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-13.

What are some alternatives?

When comparing mlfinlab and okama you can also consider the following projects:

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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

plutus_backtest - plutus_backtest is a python package for backtesting investment decisions using Python 3.6 and above.

tradestation-python-api - A Python Client library for the TradeStation API.

FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

fwoba - Frequency Weighted OrderBook Analysis

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

lakshmi - Investing library and command-line interface inspired by the Bogleheads philosophy