What does gopherdata/gophernotes do?

Gophernotes es una implementación backend del protocolo de kernel de Jupyter y un entorno de ejecución interactivo que permite ejecutar código del lenguaje Go dentro de entornos de notebooks. Funciona como un motor de ejecución para Go, permitiendo a los usuarios integrar este lenguaje en notebooks políglotas como Jupyter y nteract.

What are the main features of gopherdata/gophernotes?

The main features of gopherdata/gophernotes are: Notebook Code Execution, Jupyter Language Kernels, Jupyter Notebook Integrations, Internal Messaging Protocols, JSON Message Exchanges, Ephemeral Source Generation, Interactive Runtimes, Notebook Kernels.

What are some open-source alternatives to gopherdata/gophernotes?

Open-source alternatives to gopherdata/gophernotes include: kotlin/kotlin-jupyter — Kotlin Jupyter is an interactive computing environment that enables the execution of Kotlin code within Jupyter… root-project/cling — Cling is an interactive C++ interpreter and read-eval-print loop that allows for the execution of C++ code in real… nteract/papermill — Papermill is a Jupyter notebook execution engine and parameterization framework designed to run notebooks… polynote/polynote — Polynote is a polyglot notebook environment and interactive document system designed for executing code in multiple… clidey/whodb — whodb is a multi-database management interface and notebook client designed for exploring and managing data across… xo/usql — usql is a universal SQL command-line interface used to connect to and manage multiple SQL and NoSQL databases through…

Gophernotes - ejecuta código Go en notebooks…

Gophernotes - ejecuta código Go en notebooks… | Awesome Repos

Features

Notebook Code Execution - Provides the ability to execute Go source code within notebook cells and return immediate results to the user.
Jupyter Language Kernels - Acts as a Go language execution engine that allows users to run Go code and shell commands within Jupyter notebooks.
Jupyter Notebook Integrations - Integrates the Go language into Jupyter and nteract environments to create documents with live code.
Internal Messaging Protocols - Implements a socket-based request-response protocol using ZeroMQ for communication between the kernel and notebook frontend.
JSON Message Exchanges - Uses a structured JSON schema to exchange execution requests and rich media results between the kernel and frontend.
Ephemeral Source Generation - Writes cell contents to temporary Go files on disk for compilation and execution by the native toolchain.
Interactive Runtimes - Provides an environment for executing Go source code in cells to produce live outputs and rich media visualizations.
Notebook Kernels - Implements the Jupyter kernel protocol to process and return Go language execution results.
Source-to-Binary Compilation Toolchains - Integrates with the installed Go compiler and linker to transform source code into executable binaries at runtime.
Polyglot Notebooks - Enables a polyglot workflow by adding Go as a compatible execution kernel within a single notebook interface.
Interactive Data Exploration - Allows processing data in notebook cells and rendering results as HTML or JSON for easier analysis.
Output Format Rendering - Renders analysis results and code output into multiple formats including HTML and JSON for display in notebook cells.
Literate Programming Tools - Combines executable Go source code with formatted text and images to create technical documentation and tutorials.
MIME Type Mappings - Maps internal Go data types to supported media formats like LaTeX, PDF, and HTML for rich rendering.
Interactive Development - Supports a development workflow where Go code is written and tested in small chunks with immediate feedback.
Image Rendering - Converts image data into standard formats with metadata for visual display within a notebook cell.
MIME Type Renderers - Maps Go data structures to specific MIME types like HTML or JSON for specialized rendering in the notebook UI.
Interactive Execution - Jupyter Notebook kernel for Go.

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root-project/cling
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Cling is an interactive C++ interpreter and read-eval-print loop that allows for the execution of C++ code in real time. It provides an interactive environment where statements can be evaluated immediately, bypassing the manual compilation and linking cycles typically required for the language. The system functions as a Jupyter C++ kernel, enabling cell-based development and visualization within notebook interfaces. It also supports the loading and execution of external source files within an active session. The environment includes capabilities for just-in-time debugging and profiling by em
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polynote/polynote
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Polynote is a polyglot notebook environment and interactive document system designed for executing code in multiple languages within a single document. It functions as a cross-language data analysis tool and a JVM language IDE, allowing users to combine executable code, rich text, and data visualizations to prototype and document technical workflows. The system is distinguished by its ability to share data and variables between different language runtimes, such as Python and the JVM. It uses cross-language object conversion and data wrapping to pass objects between runtimes, enabling multi-la
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Ver las 30 alternativas a Gophernotes

gopherdatagophernotes

Gophernotes

Features

Alternativas open-source a Gophernotes

Kotlin/kotlin-jupyter

root-project/cling

nteract/papermill

polynote/polynote

Frequently asked questions

Historial de estrellas

Alternativas open-source a Gophernotes

Kotlin/kotlin-jupyter

root-project/cling

nteract/papermill

polynote/polynote

Frequently asked questions