pomegranate VS nautilus_trader

Compare pomegranate vs nautilus_trader and see what are their differences.

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pomegranate nautilus_trader
2 3
3,258 1,557
- 3.7%
6.4 10.0
about 2 months ago 5 days ago
Python Python
MIT License GNU Lesser General Public License v3.0 only
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.

pomegranate

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

nautilus_trader

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

What are some alternatives?

When comparing pomegranate and nautilus_trader you can also consider the following projects:

vscode-calva-setup - My VS Code / Calva / Portal / Joyride setup

sports-betting - Collection of sports betting AI tools.

pandarallel - A simple and efficient tool to parallelize Pandas operations on all available CPUs

FX-Signal-Copier-Telegram-Bot - Telegram bot used to enter trades directly from platform onto MT4 account with calculated trade information.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

AlphaPy - Python AutoML for Trading Systems and Sports Betting

madmom - Python audio and music signal processing library

Wizardry - 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

AutoTrader - A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

shrimpy-python - Shrimpy’s Developer Trading API is a unified way to integrating trading functionality across every major exchange. Collect historical market data, access real-time websockets, execute advanced trading strategies, and manage an unlimited number of users.