kak-lsp is a Language Server Protocol client for Kakoune implemented in Rust.

vis-lsp provides vis with the communication API patches applied. Additionally, vis-lspc is bundled for convenience.

This package creates plots of peptides from shotgun proteomics analysis of secretome and lysate samples. These plots contain associated protein features and scores for potential secretion and truncation.

This package implements the LS-PLS (least squares - partial least squares) method described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs, T. (2004) "A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables" Journal of Chemometrics, 18(10), 451--464, <doi:10.1002/cem.890>.

GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.

The implementation of the LSP server for Slint featuring diagnostics, code completion, goto definition, and more importantly, live-preview.

This package provides a box compatible custom language parser for the languageserver package to provide completion and signature hints in code editors.

Linear splines with convenient parametrisations such that (1) coefficients are slopes of consecutive segments or (2) coefficients are slope changes at consecutive knots. Knots can be set manually or at break points of equal-frequency or equal-width intervals covering the range of x'. The implementation follows Greene (2003), chapter 7.2.5.

Zig LSP Kit provides the necessary building blocks to develop LSP implementations in Zig.

LSP (Linux Studio Plugins) is a collection of audio plugins available as LADSPA/LV2 plugins and as standalone JACK applications.

LSP (Linux Studio Plugins) is a collection of audio plugins available as LADSPA/LV2 plugins and as standalone JACK applications.

A LSP implementation for systemd unit files, providing editing support with syntax highlighting and analysis, diagnostics, autocompletion, documentation, and formatting.

The LSP DSP library provides a set of functions that perform SIMD-optimized computing on several hardware architectures. All functions currently operate on IEEE-754 single-precision floating-point numbers.

This package provides a Language Server for Clojure and ClojureScript languages. The goal of this project is to bring great editing tools for Clojure/Clojurescript to all editors and programatically via its CLI and API. It aims to work alongside you to help you navigate, identify and fix errors, perform refactors and more.

Documentation at https://melpa.org/#/lsp-ui

LSP-ui contains several enhancements and integrations for lsp-mode, such as visual flychecking, displaying references in-line, and code peeking.

This package provides a Language Server Protocol implementation for use with the Alive Visual Studio Code extension.

It can be used in Emacs like this:

(require 'lsp)
(defun lsp-lisp-alive-start-ls ()
 "Start the alive-lsp."
 (interactive)
 (when-let (((lsp--port-available "localhost" lsp-lisp-alive-port)))
  (lsp-async-start-process #'ignore #'ignore
   "sbcl"
   "--eval"
   "(require :asdf)"
   "--eval"
   "(asdf:load-system :alive-lsp)"
   "--eval"
   (format "(alive/server::start :port %s)"
    lsp-lisp-alive-port))))

Documentation at https://melpa.org/#/lsp-cfn

Documentation at https://melpa.org/#/lsp-ivy

GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.

This package enhances ivy with completion for symbols from workspaces with a LSP-compliant server running.

This package provides a Python implementation of a multitaper window method for estimating Wigner spectra for certain locally stationary processes.

This package provides tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2020a, <doi:10.48550/arXiv.1804.04916>) and Cattaneo, Farrell and Feng (2020b, <doi:10.48550/arXiv.1906.00202>): lsprobust() for nonparametric point estimation of regression functions and their derivatives and for robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE-optimal number of knots; lsprobust.plot() for regression plots with robust confidence intervals and confidence bands; lsplincom() for estimation and inference for linear combinations of regression functions from different groups.

Documentation at https://melpa.org/#/helm-lsp