JupyterLabJupyter
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Related Products
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About
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
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About
QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers searching for a solution to develop open-source software, open-standards, and services for interactive computing
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Audience
Quantitative Traders and Investors
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationJupyter
Founded: 2014
jupyter.org
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Company InformationQuantRocket
Founded: 2018
United States
www.quantrocket.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Algorithmic Trading Features
2-Click Trading
Not Supported
Analyst on Demand
Not Supported
Auto Fibs
Not Supported
Auto Trend Lines
Not Supported
Backtesting
Supported
Basket Trading
Not Supported
Drawing Tools
Not Supported
Pattern Tools
Not Supported
Stock Screener
Not Supported
Trading From Charts
Not Supported
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Integrations
Docker
Supported
Alpaca
Not Supported
Apache Spark
Supported
Azure Marketplace
Supported
CSS
Supported
Domino Enterprise AI Platform
Supported
Illumina Connected Analytics
Supported
Intel Tiber AI Cloud
Supported
JSON
Supported
Java
Supported
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Integrations
Docker
Supported
Alpaca
Supported
Apache Spark
Not Supported
Azure Marketplace
Not Supported
CSS
Not Supported
Domino Enterprise AI Platform
Not Supported
Illumina Connected Analytics
Not Supported
Intel Tiber AI Cloud
Not Supported
JSON
Not Supported
Java
Not Supported
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