Search Results for "git:/git.code.sf.net/p/docfetcher/code"
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Showing 2 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Haystack is a modern, engaging, and intuitive intranet platform that employees actually use.With customizable iOS and Android mobile apps, Slack and Microsoft Teams integrations, and an intuitive design employees love, Haystack brings an outstanding digital employee experience to your entire workforce, no matter where their work takes them.
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Project Planning and Management Software | PlanviewPlanview® Portfolios enables enterprises to accelerate strategic execution by seamlessly integrating business and technology planning, optimizing resources, and leveraging the power of embedded AI — Planview Anvi™ — to deliver breakthrough products, services, and customer experiences. This unified approach aligns strategy with execution, driving enhanced business performance across the organization.
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lua-language-server
A language server that offers Lua language support - programmed in Lua
The Lua language server provides various language features for Lua to make development easier and faster. With around half a million installs on Visual Studio Code, it is the most popular extension for Lua language support. The language server can be installed for use in Visual Studio Code, NeoVim, and any other clients that support the Language Server Protocol. The language server can be configured using a configuration file. The language server and Visual Studio Code client can be installed from the VS Code Marketplace. ... -
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ALE
Check syntax in Vim/Neovim asynchronously and fix files
...The project focuses on breadth and practicality: dozens of languages work out of the box, and configuration is usually a matter of selecting tools you already use on the command line. ALE can also act as a lightweight Language Server Protocol client, providing go-to-definition, hover, and code actions through LSP servers when available. Its fix-on-save pipelines and formatter integration help enforce team style guides reliably and repeatably. For large codebases and slower linters, ALE’s job queueing and smart debouncing prevent UI hiccups while still surfacing timely results.
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