bulbea VS mlfinlab

Compare bulbea vs mlfinlab and see what are their differences.

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. (by hudson-and-thames)
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bulbea mlfinlab
97 126
1,969 3,763
- 1.7%
0.0 0.0
over 3 years ago 7 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

bulbea

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

mlfinlab

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

What are some alternatives?

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

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.

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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

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

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

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

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

deepdow - Portfolio optimization with deep learning.