Introduction

DataSpell by JetBrains is a professional IDE tailored for data science and machine learning projects. It combines the power of Python support, Jupyter notebooks, and modern visualization tools to streamline the work of data professionals.

Key Features

Jupyter Notebook Integration

DataSpell offers seamless Jupyter notebook support with inline cell execution, variable inspection, and interactive outputs, making it easier to experiment and analyze data.

Intelligent Python Assistance

The IDE provides advanced Python code completion, error detection, and refactoring tools, helping data scientists write cleaner and more efficient code.

Data Visualization Tools

With built-in charting, table views, and support for libraries like Matplotlib, Seaborn, and Plotly, DataSpell allows quick visualization and exploration of datasets.

Machine Learning & AI Workflows

Supports TensorFlow, PyTorch, and scikit-learn with intelligent environment management, making it easy to switch between experiments and maintain reproducibility.

Cross-Platform & Remote Development

Runs smoothly on Windows, macOS, and Linux. It also supports remote development with SSH, Docker, and WSL, ensuring flexibility in handling large datasets or cloud workflows.

Conclusion

JetBrains DataSpell is a feature-rich data science IDE designed for Python, Jupyter, and ML workflows. With strong visualization, intelligent coding assistance, and remote development, it is a perfect tool for data scientists and analysts working on real-world projects.