Lean VS documentation

Compare Lean vs documentation and see what are their differences.

documentation

This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/ (by quantiacs)
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Lean documentation
25 1
8,585 2
2.2% -
9.7 6.2
about 8 hours ago 4 days ago
C# Stylus
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.

Lean

Posts with mentions or reviews of Lean. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-04.

documentation

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

We haven't tracked posts mentioning documentation yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Lean and documentation you can also consider the following projects:

StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

backtrader - Python Backtesting library for trading strategies

finnhub-dotnet - A .NET client for Finnhub API

finta - Common financial technical indicators implemented in Pandas.

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.

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

algotrading-example - algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

ib_insync - Python sync/async framework for Interactive Brokers API

ta - Technical Analysis Library using Pandas and Numpy

rl-trading - Using Reinforcement Learning agents as Algorithmic Traders