Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Replit Reviews & Ratings
    6,075 Ratings
  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    76 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,389 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    473 Ratings
    Company Website
  • Twilio Reviews & Ratings
    1,282 Ratings
    Company Website
  • Docmosis Reviews & Ratings
    46 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    255 Ratings
    Company Website

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 IBM Watson Studio?

Design, implement, and manage AI models while improving decision-making capabilities across any cloud environment. IBM Watson Studio facilitates the seamless integration of AI solutions as part of the IBM Cloud Pak® for Data, which serves as IBM's all-encompassing platform for data and artificial intelligence. Foster collaboration among teams, simplify the administration of AI lifecycles, and accelerate the extraction of value utilizing a flexible multicloud architecture. You can streamline AI lifecycles through ModelOps pipelines and enhance data science processes with AutoAI. Whether you are preparing data or creating models, you can choose between visual or programmatic methods. The deployment and management of models are made effortless with one-click integration options. Moreover, advocate for ethical AI governance by guaranteeing that your models are transparent and equitable, fortifying your business strategies. Utilize open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to elevate your initiatives. Integrate development tools like prominent IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces alongside programming languages such as Python, R, and Scala. By automating the management of AI lifecycles, IBM Watson Studio empowers you to create and scale AI solutions with a strong focus on trust and transparency, ultimately driving enhanced organizational performance and fostering innovation. This approach not only streamlines processes but also ensures that AI technologies contribute positively to your business objectives.

Media

Media

Integrations Supported

Jupyter Notebook
Amazon Q Developer
CSV Editor
Cody
Goose
IBM Aspera
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM DRaaS
IBM DataStage
IBM Db2
IBM Informix
JetBrains Gateway
JupyterLab
Latta
Python
Qodo
TensorFlow
Windsurf Editor
Zencoder

Integrations Supported

Jupyter Notebook
Amazon Q Developer
CSV Editor
Cody
Goose
IBM Aspera
IBM Cloud Pak for Watson AIOps
IBM Cloudant
IBM DRaaS
IBM DataStage
IBM Db2
IBM Informix
JetBrains Gateway
JupyterLab
Latta
Python
Qodo
TensorFlow
Windsurf Editor
Zencoder

API Availability

Has API

API Availability

Has API

Pricing Information

$229
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-studio

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 Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Popular Alternatives

JupyterLab Reviews & Ratings

JupyterLab

Jupyter

Popular Alternatives