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What is JetBrains DataSpell?

Effortlessly toggle between command and editor modes with a single keystroke while using arrow keys to navigate through cells. Utilize the full range of standard Jupyter shortcuts to create a more seamless workflow. Enjoy the benefit of interactive outputs displayed immediately below the cell, improving visibility and comprehension. While working on code cells, take advantage of smart code suggestions, real-time error detection, quick-fix features, and efficient navigation, among other helpful tools. You can work with local Jupyter notebooks or easily connect to remote Jupyter, JupyterHub, or JupyterLab servers straight from the IDE. Execute Python scripts or any expressions interactively in a Python Console, allowing you to see outputs and variable states as they change. Divide your Python scripts into code cells using the #%% separator, which enables you to run them sequentially like in a traditional Jupyter notebook. Furthermore, delve into DataFrames and visual displays in real time with interactive controls, while benefiting from extensive support for a variety of popular Python scientific libraries, such as Plotly, Bokeh, Altair, and ipywidgets, among others, ensuring a thorough data analysis process. This robust integration not only streamlines your workflow but also significantly boosts your coding productivity. As you navigate this environment, you'll find that the combination of features enhances your overall coding experience.

What is Comet?

Oversee and enhance models throughout the comprehensive machine learning lifecycle. This process encompasses tracking experiments, overseeing models in production, and additional functionalities. Tailored for the needs of large enterprise teams deploying machine learning at scale, the platform accommodates various deployment strategies, including private cloud, hybrid, or on-premise configurations. By simply inserting two lines of code into your notebook or script, you can initiate the tracking of your experiments seamlessly. Compatible with any machine learning library and for a variety of tasks, it allows you to assess differences in model performance through easy comparisons of code, hyperparameters, and metrics. From training to deployment, you can keep a close watch on your models, receiving alerts when issues arise so you can troubleshoot effectively. This solution fosters increased productivity, enhanced collaboration, and greater transparency among data scientists, their teams, and even business stakeholders, ultimately driving better decision-making across the organization. Additionally, the ability to visualize model performance trends can greatly aid in understanding long-term project impacts.

Media

Media

Integrations Supported

Python
Axolotl
Clone Protocol
Codebuddy
CogniSync
Docker
EasyCode
Flask
Google Cloud Platform
Goose
JupyterLab
Latta
Ludwig
Microsoft Azure
New Relic
Plotly Dash
PyTorch
Qodo
SQL
Supermaven

Integrations Supported

Python
Axolotl
Clone Protocol
Codebuddy
CogniSync
Docker
EasyCode
Flask
Google Cloud Platform
Goose
JupyterLab
Latta
Ludwig
Microsoft Azure
New Relic
Plotly Dash
PyTorch
Qodo
SQL
Supermaven

API Availability

Has API

API Availability

Has API

Pricing Information

$229
Free Trial Offered?
Free Version

Pricing Information

$179 per user per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/dataspell/

Company Facts

Organization Name

Comet

Date Founded

2017

Company Location

United States

Company Website

www.comet.com/site/products/llmops/

Categories and 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

Categories and Features

Data Science

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

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

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

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