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

About

Explore a new library or dataset in a notebook. Automate preprocessing, training, or testing with a 2orkflow. Bring your application to life with a deployment. Use notebooks, workflows, and deployments together or independently. Compatible with everything. Gradient supports all major frameworks and libraries. Gradient is powered by Paperspace's world-class GPU instances. Move faster with source control integration. Connect to GitHub to manage all your work & compute resources with git. Launch a GPU-enabled Jupyter Notebook from your browser in seconds. Use any library or framework. Easily invite collaborators or share a public link. A simple cloud workspace that runs on free GPUs. Get started in seconds with a notebook environment that's easy to use and share. Perfect for ML developers. A powerful no-fuss environment with loads of features that just works. Choose a pre-built template or bring your own. Try a free GPU!

About

KitchenAI is a developer-centric framework that streamlines the process of transforming AI Jupyter Notebooks into production-ready APIs. It bridges the gap between AI developers, application developers, and infrastructure developers by providing a fully featured API server with default routes, a command-line interface for quick setup, and an extensible plugin framework. This design enables users to author multiple AI techniques, rapidly test and iterate, and seamlessly build and share their work. For AI developers, KitchenAI manages scalability within familiar environments, converting notebooks into robust applications. Application developers benefit from intuitive SDKs and tools that facilitate the integration of AI through simple APIs, allowing for quick testing to determine the most suitable AI techniques for their applications. Infrastructure developers can integrate with AI tooling.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and teams interested in a data science notebook solution to make data science teams more productive

Audience

Developers seeking a platform for building and scaling applications

Audience

Professional users interested in a solution to deploy their AI models from Jupyter Notebooks to production environments efficiently

Audience

IoT Operating System for developers wanting to run microcontrollers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$8 per month
Free Version
Free Trial

Pricing

$17 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deepnote
Founded: 2019
United States
deepnote.com

Company Information

Gradient
gradient.run/

Company Information

KitchenAI
kitchenai.dev/

Company Information

MicroPython
United Kingdom
micropython.org

Alternatives

Alternatives

Alternatives

Alternatives

Categories

Categories

Categories

Categories

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science Features

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

Amazon Athena
Docker
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini Enterprise
Go
Google Cloud Container Security
HoneyHive
Jupyter Notebook
MXNet
Paperspace
PyCharm
PyTorch
RT-Thread
Reddit
Redshift
Sentry
Telegram
Visual Studio Code

Integrations

Amazon Athena
Docker
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini Enterprise
Go
Google Cloud Container Security
HoneyHive
Jupyter Notebook
MXNet
Paperspace
PyCharm
PyTorch
RT-Thread
Reddit
Redshift
Sentry
Telegram
Visual Studio Code

Integrations

Amazon Athena
Docker
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini Enterprise
Go
Google Cloud Container Security
HoneyHive
Jupyter Notebook
MXNet
Paperspace
PyCharm
PyTorch
RT-Thread
Reddit
Redshift
Sentry
Telegram
Visual Studio Code

Integrations

Amazon Athena
Docker
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini Enterprise
Go
Google Cloud Container Security
HoneyHive
Jupyter Notebook
MXNet
Paperspace
PyCharm
PyTorch
RT-Thread
Reddit
Redshift
Sentry
Telegram
Visual Studio Code
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