{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/5"}],"enrichment":{"capability":"Connects to live Jupyter Kernels over HTTP and WebSocket to execute code remotely, and provides an interactive console (REPL) for kernel interaction.","skillfed_tags":["jupyter-integration","remote-execution","kernel-client"],"use_cases":["Automate code execution in a remote Jupyter kernel from a Python script or application","Build a custom REPL or interactive console that connects to an existing Jupyter kernel","Integrate Jupyter computation into a larger application or service without a notebook UI","Execute code in a kernel and capture structured results (outputs, execution count, status)","Connect to an existing kernel in JupyterLab and run code programmatically"],"what_it_does":"Jupyter Kernel Client is a Python library that lets you programmatically connect to and execute code in Jupyter Kernels running on a remote Jupyter Server. It communicates via HTTP and WebSocket protocols to send code to a kernel and retrieve execution results, outputs, and status. The package wraps the kernel protocol in a simple context-manager API and also provides an optional interactive console (Konsole) for REPL-style interaction.\n\nTypical use cases include automating code execution in a kernel from an external script, building tools that need to run code in a Jupyter environment without launching a notebook interface, or integrating Jupyter computation into larger applications. The package depends on standard Jupyter libraries (jupyter-client, jupyter-core, traitlets) and network utilities (requests, websocket-client) to handle the protocol details.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive BSD license, and solves a clear problem\u2014remote kernel execution\u2014for developers building Jupyter-integrated tools. No known vulnerabilities. Install if you need to execute code in a Jupyter kernel from outside a notebook."},"id":"jupyter-kernel-client","links":{"html":"https://skillfed.io/packages/jupyter-kernel-client","md":"https://skillfed.io/packages/jupyter-kernel-client.md","pypi":"https://pypi.org/project/jupyter-kernel-client/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":null,"license_treatment":"permissive","name":"jupyter-kernel-client","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":121133,"position":11992,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.1"}