Related Products
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About
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone.
Features:
- Sharing notebooks and projects via URL
- Inviting others to view, comment and collaborate, with version control
- Publishing notebooks with visualizations for presentations
- Sharing datasets between projects
- Set team permissions to decide who can edit vs view code
- Full linux terminal access
- Code completion
- Automatic python package management
- Importing from github
- PostgreSQL DB connection
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About
With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.
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About
The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises and teams interested in a data science notebook solution to make data science teams more productive
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Audience
Companies, classrooms and research labs looking for a multi-user Hub solution
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Audience
IoT Operating System for developers wanting to run microcontrollers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDeepnote
Founded: 2019
United States
deepnote.com
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Company InformationJupyterHub
Founded: 2014
github.com/jupyterhub/jupyterhub
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Company InformationMicroPython
United Kingdom
micropython.org
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Chatbot
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Statistical / Mathematical Tools
Templates
Visualization
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Integrations
Amazon S3
DataOps.live
GitHub
Google Cloud Container Security
Google Cloud Platform
Google Drive
JetBrains DataSpell
Jupyter Notebook
NeevCloud
OpenHexa
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Integrations
Amazon S3
DataOps.live
GitHub
Google Cloud Container Security
Google Cloud Platform
Google Drive
JetBrains DataSpell
Jupyter Notebook
NeevCloud
OpenHexa
|
Integrations
Amazon S3
DataOps.live
GitHub
Google Cloud Container Security
Google Cloud Platform
Google Drive
JetBrains DataSpell
Jupyter Notebook
NeevCloud
OpenHexa
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