jupyterlab-lsp | Coding assistance for JupyterLab | Code Editor library

 by   krassowski TypeScript Version: v3.8.1 License: BSD-3-Clause

kandi X-RAY | jupyterlab-lsp Summary

kandi X-RAY | jupyterlab-lsp Summary

jupyterlab-lsp is a TypeScript library typically used in Editor, Code Editor, Jupyter applications. jupyterlab-lsp has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
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            kandi-support Support

              jupyterlab-lsp has a medium active ecosystem.
              It has 1015 star(s) with 82 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 116 open issues and 235 have been closed. On average issues are closed in 77 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jupyterlab-lsp is v3.8.1

            kandi-Quality Quality

              jupyterlab-lsp has 0 bugs and 0 code smells.

            kandi-Security Security

              jupyterlab-lsp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jupyterlab-lsp code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jupyterlab-lsp is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jupyterlab-lsp releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 3771 lines of code, 205 functions and 222 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            jupyterlab-lsp Key Features

            No Key Features are available at this moment for jupyterlab-lsp.

            jupyterlab-lsp Examples and Code Snippets

            No Code Snippets are available at this moment for jupyterlab-lsp.

            Community Discussions

            QUESTION

            Language Server Spec Finder Errors When Launching Jupyter Lab
            Asked 2020-Jan-13 at 07:46

            I would just like to understand what's happening below. I am using MacOs and recently switched from bash to zsh. And then I installed jupyterlab-lsp. Can you please enlighten me?

            ...

            ANSWER

            Answered 2020-Jan-13 at 07:46

            The issue is because jupyter server is unable to find the language servers. As in my case, jupyter is installed and maintained using conda environment(miniconda) under /opt/miniconda3/, whilst my nodejs is sitting under /usr/local/. Ideally, if you are already using conda manager, you will want to uninstall nodejs completely and reinstall it using conda. Otherwise, remove the entire anaconda/conda and then reinstall python (https://www.python.org/downloads/release/python-381/) and jupyter using either pip or brew depending how/where you installed nodejs.

            I was able to resolve my issue following below steps:

            1.) Completely uninstall node js. I was able to do it by running nvm uninstall or if you are using homebrew, run brew uninstall node and then rm -f /usr/local/bin/npm on terminal. Additionally, you can follow below reference: How do I completely uninstall Node.js, and reinstall from beginning (Mac OS X)

            2.) Reinstall nodejs. conda install -c conda-forge nodejs

            3.) Install the language servers. See reference: https://github.com/krassowski/jupyterlab-lsp/blob/master/LANGUAGESERVERS.md#installing-language-servers

            4.) Restart terminal and run jupyter lab.

            Now this is the best answer that I have that was able to resolve my issue.

            Source https://stackoverflow.com/questions/59386899

            QUESTION

            Pypi.org blocked from command prompt Windows. Pip install does not work
            Asked 2020-Jan-04 at 15:28

            Access to pypi.org is blocked for me from the command prompt. Using the browser I can reach the domain just fine.

            This causes pip install jupyterlab-lsp to fail from the command prompt.

            Normally I could download the .whl file from Pypi, and install it from local. But this is not available for this package:

            https://pypi.org/project/jupyter-lsp/#files

            Any alternatives to install the package?

            ...

            ANSWER

            Answered 2020-Jan-04 at 15:28

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install jupyterlab-lsp

            For more extensive installation instructions, see the documentation. For the current stable version, the following steps are recommended. Use of a python virtualenv or a conda env is also recommended.
            install python 3 conda install -c conda-forge python=3
            install JupyterLab and the extensions conda install -c conda-forge 'jupyterlab>=3.0.0,<4.0.0a0' jupyterlab-lsp # or pip install 'jupyterlab>=3.0.0,<4.0.0a0' jupyterlab-lsp Note: jupyterlab-lsp provides both the server extension and the lab extension. Note: With conda, you could take advantage of the bundles: jupyter-lsp-python or jupyter-lsp-r to install both the server extension and the language server.
            install LSP servers for languages of your choice; for example, for Python (pylsp) and R (languageserver) servers: # note: you may want to use our fork of python-language-server instead (see below) pip install 'python-lsp-server[all]' R -e 'install.packages("languageserver")' or from conda-forge conda install -c conda-forge python-lsp-server r-languageserver Please see our full list of supported language servers which includes installation hints for the common package managers (npm/pip/conda). In general, any LSP server from the Microsoft list should work after some additional configuration. Note 1: it is worth visiting the repository of each server you install as many provide additional configuration options. Note 2: we are developing an improved (faster autocompletion, added features) version of the python-language-server. It is experimental and should not be used in production yet, but will likely benefit individual users You can check it out with: pip install git+https://github.com/krassowski/python-language-server.git@main Please report any regressions here.
            (Optional, IPython users only) to improve the performance of autocompletion, disable Jedi in IPython (the LSP servers for Python use Jedi too). You can do that temporarily with: %config Completer.use_jedi = False or permanently by setting c.Completer.use_jedi = False in your ipython_config.py file. You will also benefit from using experimental version of python-language-server as described in the Note 2 (above).
            (Optional, Linux/OSX-only) to enable opening files outside of the root directory (the place where you start JupyterLab), create .lsp_symlink and symlink your /home, or any other location which includes the files that you wish to make possible to open in there: mkdir .lsp_symlink cd .lsp_symlink ln -s /home home If your user does not have sufficient permissions to traverse the entire path, you will not be able to open the file. A more detailed guide on symlinking (written for a related jupyterlab-go-to-definition extension) is available here.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/krassowski/jupyterlab-lsp.git

          • CLI

            gh repo clone krassowski/jupyterlab-lsp

          • sshUrl

            git@github.com:krassowski/jupyterlab-lsp.git

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