Audience
Companies seeking a collection of kernels and extensions to the Jupyter interactive computing environment
About Beaker Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The widgets remain interactive in both notebooks saved to disk, and notebooks published to the web. They include unique features for handling many points, nanosecond resolution, zooming, and exporting. BeakerX’s table widget automatically recognizes pandas data frames and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quickly and easy. BeakerX has a Spark magic with GUIs for configuration, status, progress, and interrupt of Spark jobs. You can either use the GUI or create your own SparkSession with code.
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Bokeh
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.
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Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.
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Lumio
Lumio is a web-based learning platform that offers more ways to effortlessly make learning fun and engaging on student devices.
Whether educators have PDFs, Google Slides, PowerPoint, or Notebook files, Lumio effortlessly transforms them into dynamic, engaging learning experiences on any device. Take students on an interactive journey filled with activities, games, group workspaces, formative assessments, and more, all from a single place.
Lumio is specifically designed to improve student outcomes – it’s not just fun, it works!
For schools and districts looking for instructional consistency and more efficient workflows, Lumio’s Spark plan offers a library to house approved curriculum content, integration with LMS platforms, and the ability for teachers to collaborate on content for increased productivity with minimal effort.
Note: Lumio was formerly known as SMART Learning Suite Online (SLSO)
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marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more
⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale
🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required
🔬 reproducible: no hidden state, deterministic execution, built-in package management
🏃 executable: execute as a Python script, parametrized by CLI args
🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM
🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes
🐍 git-friendly: notebooks are stored as .py files
⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and more
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Pricing
Free Version:
Free Version available.
Integrations
No integrations listed.
Company Information
Two Sigma Open Source
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Beaker Notebook Frequently Asked Questions
Beaker Notebook Product Features
Application Development
Access Controls/Permissions
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Deployment Management
Graphical User Interface
No-Code
Reporting/Analytics
Software Development
Source Control
Code Assistance
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Mobile Development
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