Best IDE Software for Jupyter Notebook

Project Jupyter is an open-source project that develops open-standards software and services for interactive computing in dozens of programming languages. JupyterLab provides a web-based interactive environment for Jupyter notebooks and code. JupyterLab's user interface is flexible. You can configure and arrange it to support a variety of workflows in data science and scientific computing. JupyterLab can be extended and modified to add new components or integrate with existing ones. Open-source web application, Jupyter Notebook, allows you to create and share documents with live code, equations and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses. Jupyter supports more than 40 programming languages, including Python and R, Julia, Scala, and Scala.

All the Python tools in one location. PyCharm will take care of the routine, saving you time. To make the most of PyCharm's productivity features, you should focus on the important things. PyCharm has all the information you need about your code. PyCharm can help you with intelligent code completion, quick error checking and quick fixes, project navigation, and many other things. The IDE allows you to write clean and maintainable code and helps you maintain control of quality with PEP8 tests, testing assistance and smart refactorings. PyCharm was created by programmers for programmers to give you all the tools you need to create Python code. PyCharm offers smart code completion, code inspections and quick-fixes. It also includes automated code refactorings.

goormIDE, a powerful cloud based Integrated Development Environment, is designed to increase productivity for developers and their teams. It allows users to create customized development environments in just a few mouse clicks. This facilitates coding, building and running applications, as well as debugging them directly from a web browser. The platform allows users to access Linux-based containers through a fully-featured Web terminal, enabling installation similar to a local machine. Real-time collaboration allows multiple developers to work on source code at the same time and communicate effectively in the same environment. GoormIDE also integrates seamlessly with Git repositories and Subversion repositories. It offers a user-friendly GUI for cloning projects, editing them, committing changes, pushing and pulling them. GoormIDE's flexibility and ease-of-use make it a valuable tool for developers looking for efficient and collaborative coding.

PaizaCloud Cloud is a web-based Linux server management tool. In a browser, you can edit and manage files, run commands or start a database/web server. You no longer need to use cumbersome commands to log into your account, edit files or upload files. Linux servers can be operated on the cloud as if they were a computer right in front of you. In just 3 seconds, you can create a new Linux server environment. You can freely operate multiple Linux server environments and copy existing server environments. The new server will be set up instantly so you can install or develop software without fear of breaking down. You only need a browser on any PC or Mac to access your workspace environment. You can access the same workspace environment without having to carry around the same computer. Students can use the same development environments at school and home for programming schools, coding boots camps, universities and colleges.

The first agentic interface, and more. The Windsurf editor is where developers and AI work together seamlessly, allowing a coding environment that feels like magic. The Windsurf Editor was designed to work the way AI should with humans. All the features you love about Codeium, plus unmatched performance. A user experience that keeps your in the flow. The Windsurf editor is powered by AI that can work with you as a copilot or independently tackle complex tasks like an agent. The AI is in complete sync with you at every step. Flows enable the AI and dev to be in sync at all times. This creates a mind-melding experience that goes beyond an assistant. Cascade combines a deep understanding of codebases, a wide range of advanced tools and a real time awareness of your actions to create a powerful, seamless and collaborative flow. It is the most powerful AI-powered coding tool.

Spyder's multilingual editor integrates many powerful tools straight out of the box to provide an efficient and easy-to-use editing experience. The editor's main features include syntax highlighting and style analysis (pyflakes, pycodestyle), on-demand completion, calltips, go-to-definition features like rope and jedi, a function/class browser and horizontal and vertical splitting. The IPython console lets you execute commands and interact directly with IPython interpreters. You can interactively browse and manage objects generated by your code using the variable explorer. It displays the namespace contents of the current IPython console session. You can add, remove and modify their values using a variety GUI-based editors.

RunCode offers online workspaces that allow you to work in a web browser on code projects. These workspaces offer a complete development environment that includes a code editor, a terminal and access to a variety of tools and libraries. These workspaces are easy to use and can be set up on your own computer.

With a single keystroke, switch between editor and command modes. Use the arrow keys to navigate between cells. All the Jupyter shortcuts are available. Fully interactive outputs are available right under the cell. Editing code cells is easy with smart code completion, quick error checking and quick fixes, and easy navigation. You can connect to remote JupyterHub or JupyterLab servers from the IDE. Interactively run Python scripts and arbitrary expressions in a Python Console. You can see the outputs and the state variables in real time. Split Python scripts into code cells using the #%% separator, and run them individually in a Jupyter notebook. Interactive controls allow you to browse DataFrames or visualizations in real time. All popular Python scientific libraries, including Plotly and Altair, ipywidgets and others, are supported.

Amazon SageMaker Studio (IDE) is an integrated development environment that allows you to access purpose-built tools to execute all steps of machine learning (ML). This includes preparing data, building, training and deploying your models. It can improve data science team productivity up to 10x. Quickly upload data, create notebooks, tune models, adjust experiments, collaborate within your organization, and then deploy models to production without leaving SageMaker Studio. All ML development tasks can be performed in one web-based interface, including preparing raw data and monitoring ML models. You can quickly move between the various stages of the ML development lifecycle to fine-tune models. SageMaker Studio allows you to replay training experiments, tune model features, and other inputs, and then compare the results.