bulbea VS qlib

Compare bulbea vs qlib and see what are their differences.

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. (by microsoft)
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bulbea qlib
97 53
1,969 14,136
- 4.6%
0.0 7.1
over 3 years ago 6 days 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.

bulbea

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

qlib

Posts with mentions or reviews of qlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

What are some alternatives?

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

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.

zipline - Zipline, a Pythonic Algorithmic Trading Library

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

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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

quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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

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

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

pyEX - Python interface to IEX and IEX cloud APIs

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

dwx-zeromq-connector - Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.