Average Ratings 9 Ratings

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ease
features
design
support

Average Ratings 0 Ratings

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ease
features
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support

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Description

Empowering businesses to engage in genuine data science quickly and effectively through a comprehensive machine learning platform is crucial. By minimizing the time spent managing tools and infrastructure, organizations can concentrate on developing machine learning applications that drive growth. Anaconda Enterprise alleviates the challenges associated with ML operations, grants access to open-source innovations, and lays the groundwork for robust data science and machine learning operations without confining users to specific models, templates, or workflows. Software developers and data scientists can seamlessly collaborate within AE to create, test, debug, and deploy models using their chosen programming languages and tools. Additionally, AE facilitates access to both notebooks and integrated development environments (IDEs), enhancing collaborative efficiency. Users can also select from a variety of example projects or utilize preconfigured projects tailored to their needs. Furthermore, AE automatically containerizes projects, ensuring they can be effortlessly transitioned between various environments as required. This flexibility ultimately empowers teams to innovate and adapt to changing business demands more readily.

Description

Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Q Developer
Code With Me
Cody
Conda
Docker
EasyCode
Goose
IBM watsonx.data
JetBrains AI Assistant
Jovian
Jupyter Notebook
JupyterHub
JupyterLab
NVIDIA RAPIDS
OpenSCAP
Python
Qodo
R
Supermaven
Windsurf Editor

Integrations

Amazon Q Developer
Code With Me
Cody
Conda
Docker
EasyCode
Goose
IBM watsonx.data
JetBrains AI Assistant
Jovian
Jupyter Notebook
JupyterHub
JupyterLab
NVIDIA RAPIDS
OpenSCAP
Python
Qodo
R
Supermaven
Windsurf Editor

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$229
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Anaconda

Country

United States

Website

www.anaconda.com/enterprise/

Vendor Details

Company Name

JetBrains

Founded

2000

Country

Czech Republic

Website

www.jetbrains.com/dataspell/

Product Features

Data Science

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

Machine Learning

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

Product Features

Data Science

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

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Alternatives

Alternatives

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