okama VS db

Compare okama vs db and see what are their differences.

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okama db
5 1
186 0
2.7% -
9.0 5.8
3 months ago 9 months 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.

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.

db

Posts with mentions or reviews of db. 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 okama and db you can also consider the following projects:

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.

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

fwoba - Frequency Weighted OrderBook Analysis

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

simfin - Simple financial data for Python

trnscrptr

bot - The @HydraverseBot

riskparity.py - Fast and scalable construction of risk parity portfolios

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.