JetBrains DataSpell
Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs β right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.
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RStudio
RStudio IDE is a powerful integrated development environment built for data scientists using R and Python; it features a console, syntax-highlighting editor supporting direct code execution, plotting, history management, debugging tools, and workspace controls. The open source edition runs on Windows, Mac, and Linux desktops and includes code completion, smart indentation, Visual Markdown editing, project-based working directories, integrated support for multiple working directories, R help and documentation search, interactive debugging, and extensive tools for package development, all under the AGPL v3 license. While the open version provides core capabilities for coding and data exploration, commercial editions add enterprise-grade features like database/NoSQL connections, priority support, and commercial licensing options. RStudio IDE empowers users to analyze data, build visualizations, develop packages, and produce reproducible workflows in a trusted open-source environment.
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marimo
A reactive notebook for Python β run reproducible experiments, execute as a script, deploy as an app, and version with git.
π batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more
β‘οΈ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale
ποΈ interactive: bind sliders, tables, plots, and more to Python β no callbacks required
π¬ reproducible: no hidden state, deterministic execution, built-in package management
π executable: execute as a Python script, parametrized by CLI args
π shareable: deploy as an interactive web app or slides, run in the browser via WASM
π’οΈ designed for data: query dataframes and databases with SQL, filter and search dataframes
π git-friendly: notebooks are stored as .py files
β¨οΈ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and more
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Posit
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Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Positβs platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Positβs secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of usersβand more than half of the Fortune 100βPosit empowers professionals across industries to innovate with data.
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