Jupyter is described as 'The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much' and is a very popular jupyter notebook in the development category. There are more than 50 alternatives to Jupyter for a variety of platforms, including Web-based, Windows, Linux, Mac and Self-Hosted apps. The best Jupyter alternative is RStudio, which is both free and Open Source. Other great apps like Jupyter are Mathematica, GNU Octave, SageMath and IPython.
Wolfram Language is a symbolic language, deliberately designed with the breadth and unity needed to develop powerful programs quickly. By integrating high-level forms—like Image, GeoPolygon or Molecule—along with advanced superfunctions—such as ImageIdentify or...
The best Jupyter Notebook review tool with rich diffs, comment support, Markdown, and a lot more.
Deepnote is a collaborative data science notebook built for teams that is shareable, Jupyter-compatible, and runs in the cloud.
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Calcpad is a lightweight mathematical platform for cloud and desktop. It parses simple text scripts and converts them into professional Html reports. Supports complex numbers, variables, functions, graphing, units and numerical methods.
A free, next-generation data science IDE built by Posit PBC. An extensible, polyglot tool for writing code and exploring data. A familiar environment for reproducible authoring and publishing.
Observable is a better way to code. Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration.
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.
The ultimate note-taking app for students & academics, featuring AI-powered RAG, vector databases, bibliography management, and seamless integration with your academic workflow.
Datalore is a collaborative platform for data science and analytics based on traditional notebook development. The core concept of Datalore is a notebook, a document where you code in one of the supported languages.
Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.
The Beaker Notebook is a new open source tool for research and data science. It's advanced UI allows you to focus on your data and your science, instead of getting frustrated by your tool. We designed it to be polyglot from the ground up.
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Very similar to Jupyter, but leaving aside the notion of a "session" it embraces multiple language cells in a single notebook and cross-language data translation between code cells.