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python3-langchain-0.3.25-1.lbn36.noarch: 🦜️🔗 LangChain Building applications with LLMs through composability 🤔 What is this? Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. However, using these LLMs in isolation is often insufficient for creating a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.

python3-jupyterlab-vpython-3.1.6-1.lbn36.noarch: jupyterlab_vpython A VPython extension for JupyterLab Requirements JupyterLab >= 4.0.0 Install To install the extension, execute: pip install jupyterlab_vpython Uninstall To remove the extension, execute: pip uninstall jupyterlab_vpython Contributing Development install Note: You will need NodeJS to build the extension package. The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below. pip install -e "." jupyter labextension develop . --overwrite jlpm build You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

python3-jupyterlab-server-2.27.2-1.lbn36.noarch: jupyterlab server Motivation JupyterLab Server sits between JupyterLab and Jupyter Server, and provides a set of REST API handlers and utilities that are used by JupyterLab. It is a separate project in order to accommodate creating JupyterLab-like applications from a more limited scope. Install pip install jupyterlab_server To include optional openapi dependencies, use: pip install jupyterlab_server[openapi] To include optional pytest_plugin dependencies, use: pip install jupyterlab_server[test] Usage See the full documentation for API docs and REST endpoint descriptions. Extending the Application Subclass the LabServerApp and provide additional traits and handlers as appropriate for your application. Contribution Please see CONTRIBUTING.md for details.

python3-jupyterlab-irods-3.0.5-1.lbn36.noarch

python3-jupyterlab-heroku-0.2.1-1.lbn36.noarch: jupyterlab-heroku[![npm]( [![pypi]( extension to manage and deploy applications to Heroku.The extension enables 1-click deployments of [voila]( dashboards.![screencast]( Requirements Create an Heroku account_If you already have an Heroku account, you can skip to the next section_.

python3-jupyterlab-dash-0.1.0a3-1.lbn36.noarch: jupyterlab-dash A JupyterLab extension for rendering Plotly Dash apps as a separate window in JupyterLab :tada: Note:: This extension does not currently support Windows or Python 2 Prerequisites JupyterLab 1.0.0 Dash Installation The jupyterlab-dash library requires both a Python package and a JupyterLab extension. First, install the Python package using either pip... $ pip install "jupyterlab>=1.0" jupyterlab-dash==0.1.0a3 or conda (but not both!). $ conda install -c plotly -c defaults -c conda-forge "jupyterlab>=1.0" jupyterlab-dash=0.1.0a3 Then, install the JupyterLab extension. v6.17.1 of node works, and node 8.x.x or 10+ should also work. $ jupyter labextension install jupyterlab-dash@0.1.0-alpha.3 Development Installation If you'd like to install jupyterlab-dash for development $ git clone https:/github.com/plotly/jupyterlab-dash $ cd jupyterlab-dash $ pip install -e . $ npm install # or yarn

python3-jupyterlab-celltagsclasses-0.3.2-1.lbn36.noarch: jupyterlab_celltagsclasses An extension to expose cell tags as CSS classes Requirements JupyterLab >= 4.0.0 Install To install the extension, execute: pip install jupyterlab_celltagsclasses Uninstall To remove the extension, execute: pip uninstall jupyterlab_celltagsclasses What it does CSS classes each cell has its widget (the DOM element) classes kept in sync in terms of the cell's tags; for example, adding tag foobar will result in the current cell having class cell-tag-foobar added specifically the DOM elements that are decorated have the .jpCell class set by jlab, like so, where we have set tag celltagsclasses-test1 metadata management helper functions it also exports utilities to manage a cell's metadata, specifically for getting, setting or unsetting a key/value pair adding, removing items in a list inside the metadata (e.g. tags) cleaning the metadata for empty/useless items to that effect, see the md_get and similar functions in metadata.ts (that can be imported right f

python3-jupyterlab-4.2.1-1.lbn36.noarch: Installation | Documentation | Contributing | License | Team | Getting help | JupyterLab An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. JupyterLab can be extended using npm packages that use our public APIs. The prebuilt extensions can be distributed via PyPI, conda, and other package managers. The source extensions can be installed directly from npm (search for jupyterlab-extension) but require an additional build step. You can also find JupyterLab extensions exploring GitHub topic jupyterlab-extension. To learn more about extensions, see the user documentation. Read the current JupyterLab documentation on ReadTheDocs. Getting started Installation If you

python3-jupyter-vscode-server-0.0.10-1.lbn36.noarch: Jupyter VS Code Server About jupyter-vscode-serverA Jupyter Notebook extension to launch [cdr/code-server]( (VS Code). Using jupyter-vscode-serverYou must already have code-server installed. Check out code-server's [Getting Started]( section.Extension can be install with:bash pip install jupyter-vscode-server Example Dockerfile segment to install code-server:Dockerfile ENV CODESERVER_URL" \...

python3-jupyter-summarytools-0.2.3-1.lbn36.noarch: ![GitHub]( ![PyPI]( ![PyPI - Status]( ![PyPI - Downloads]( ![GitHub last commit]( DataFrame Summary Tools in Jupyter NotebookThis is python version of summarytools, which is used to generate standardized and comprehensive summary of dataframe in Jupyter Notebooks.The idea is originated from the summarytools R package (

python3-jupyter-server-xarray-leaflet-0.2.3-1.lbn36.noarch: A Jupyter Server extension for xarray-leaflet

python3-jupyter-server-widget-0.1.2-1.lbn36.noarch: Jupyter Server WidgetJupyter Notebook %magics and Widget to start and stop servers from a CellLoad extension inside a Jupyter notebook: %load_ext jupyterserverwidget Add server commands with cell magic: %server myserver1 --args myargs%servers myserver1 --args myargs myserver2 --args myargs Click buttons to start them, click again to stop.![Screenshot](screenshot.png "Examples") Installation...

python3-jupyter-server-terminals-proxy-0.1.4-1.lbn36.noarch: Jupyter Server Terminals Proxy In one terminal/environment: pip install fps_uvicorn pip install fps_terminals pip install fps-noauth fps-uvicorn --port=8000 --no-open-browser In another terminal/environment: pip install jupyter_server_terminals_proxy pip install jupyterlab jupyter lab --port=8888 --ServerApp.terminals_enabled=False --TerminalsProxyExtensionApp.proxy_url='http:/127.0.0.1:8000' Terminals should now be served from http:/127.0.0.1:8000.

python3-jupyter-server-terminals-0.4.4-1.lbn36.noarch: Jupyter Server Terminals Jupyter Server Terminals is a Jupyter Server Extension providing support for terminals. Installation and Basic usage To install the latest release locally, make sure you have pip installed and run: pip install jupyter_server_terminals Jupyter Server Terminals currently supports Python>=3.6 on Linux, OSX and Windows. Testing See CONTRIBUTING. Contributing If you are interested in contributing to the project, see CONTRIBUTING.

python3-jupyter-server-proxy-noe-1.1-1.lbn36.noarch

python3-jupyter-server-proxy-4.1.0-1.lbn36.noarch: Jupyter Server Proxy Jupyter Server Proxy lets you run arbitrary external processes (such as RStudio, Shiny Server, Syncthing, PostgreSQL, Code Server, etc) alongside your notebook server and provide authenticated web access to them using a path like /rstudio next to others like /lab. Alongside the python package that provides the main functionality, the JupyterLab extension (@jupyterhub/jupyter-server-proxy) provides buttons in the JupyterLab launcher window to get to RStudio for example. Note: This project used to be called nbserverproxy. As nbserverproxy is an older version of jupyter-server-proxy, uninstall nbserverproxy before installing jupyter-server-proxy to avoid conflicts. The primary use cases are: Use with JupyterHub / Binder to allow launching users into web interfaces that have nothing to do with Jupyter - such as RStudio, Shiny, or OpenRefine. Allow access from frontend javascript (in classic notebook or JupyterLab extensions) to access web APIs of other processes

python3-jupyter-server-mathjax-0.2.6-1.lbn36.noarch: MathJax resources endpoints for Jupyter Server Basic Usage Install from PyPI: > pip install jupyter_server_mathjax This will automatically enable the extension in Jupyter Server. To test the installation, you can run Jupyter Server and visit the /static/jupyter_server_mathjax/MathJax.js endpoint: > jupyter server Maintenance Notes To install an editable install locally for development, first clone the repository locally, then run: `pip install -e .[test]` Note that the editable install will not install the data file that automatically configures the extension for use. To manually enable it, run: jupyter server extension enable --py jupyter_server_mathjax To build for distribution, use the build package: pip install build python -m build Then release using twine: twine check dist/* twine check dist/*

python3-jupyter-server-kernels-proxy-0.1.0-1.lbn36.noarch: Jupyter Server Kernels Proxy

python3-jupyter-server-kernels-0.1.2-1.lbn36.noarch: Jupyter Server Kernels Jupyter Server Kernels is a Jupyter Server Extension providing support for kernels.

python3-jupyter-server-fileid-0.9.0-1.lbn36.noarch: jupyter_server_fileid A Jupyter Server extension providing an implementation of the File ID service. Requirements Jupyter Server Install To install the extension, execute: pip install jupyter_server_fileid Uninstall To remove the extension, execute: pip uninstall jupyter_server_fileid Troubleshoot If you are seeing the frontend extension, but it is not working, check that the server extension is enabled: jupyter server extension list Contributing Development install pip install -e . You can watch the source directory and run your Jupyter Server-based application at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension. For example, when running JupyterLab: jupyter lab --autoreload If your extension does not depend a part

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