speeding up Telescope?

• telescope-fzf-native.nvim

  40 1,241 3.7 C

  FZF sorter for telescope written in c

  

It will looks like it will be. Besides async PR, there's ongoing work to speed up and backwards integrate fzf even further - PR. fzf writer jobs will be also refactored and so we might get true multithreaded live grep in telescope eventually where only in- and output is handled in lua.

• plenary.nvim

  58 2,368 7.5 Lua

  plenary: full; complete; entire; absolute; unqualified. All the lua functions I don't want to write twice.

  

Great I did saw the pr on plenary but didn't think of it much . I'll have try loading telescope at startup again and see how that goes .

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• telescope.nvim

  322 13,961 9.1 Lua

  Find, Filter, Preview, Pick. All lua, all the time.

  

I find it to be slow as well compared to just about anything else I do in vim. This https://github.com/nvim-telescope/telescope.nvim/pull/987 looks promising.

• telescope-fzy-native.nvim

  7 172 0.0 Lua

  FZY style sorter that is compiled

  

Are you using the fzy-native extension?

• fzf-lua

  88 1,692 9.6 Lua

  Improved fzf.vim written in lua

Not directly answering your question but you can try fzf-lua and see if it’s more speedy for you.

• fzy-lua-native

  6 116 3.8 Lua

  Luajit FFI bindings to FZY

They really should make that extension the default. Besides, the backing fzy bindings also include a lua fallback, it would be much nicer for users to not have to mess around with tons of options to get a fast by default picker. (Disclaimer: I'm the author of the backing fzy bindings)

• vim-clap

  13 2,066 8.1 Rust

  :clap: Modern performant fuzzy picker, tree-sitter highlighting, and more, for both Vim and NeoVim

I'll also take the occasion to recommend clap.vim, which is the picker I use. It's super cool, fast, and uses a rust backend for more intensive searches.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project