ML-Workspace VS pyright

Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.

It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)

Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified.

Not exactly what you are looking for but maybe useful to others.

https://github.com/microsoft/pyright/blob/main/docs/mypy-com...

You can use pyright instead[0]. It is the FOSS version of pyright, but having some features missing.

[0]: https://github.com/microsoft/pyright

Unfortunately, pyright explicitly stated that they are not interested in inlay hints or other language server features, that those will only be added to pylance. That's why I added it myself instead of submitting a pull request to pyright. See https://github.com/microsoft/pyright/issues/4325

return { -- add pyright to lspconfig { "neovim/nvim-lspconfig", ---@class PluginLspOpts opts = { ---@type lspconfig.options servers = { -- Listed servers will be automatically loaded to buffers jsonls = { settings = { json = { format = { enable = true, }, }, validate = { enable = true }, }, }, pyright = { settings = { python = { analysis = { -- https://github.com/microsoft/pyright/blob/main/docs/settings.md autoSearchPaths = false, useLibraryCodeForTypes = true, diagnosticMode = "openFilesOnly", }, }, }, }, }, -- Add folding capability to use LSP for ufo plugin capabilities = { textDocument = { foldingRange = { dynamicRegistration = false, lineFoldingOnly = true, }, }, }, }, }, }

I don't use astro, but you can configure pyright by using a pyrightconfig.json or directly in the LSP configuration.

Not sure if pyright supports it unfortunately. I personally accepted the lack of support for attr.s and can't tell what the status on this actually is today. Here's a link to start reading up on the issue https://github.com/Microsoft/pyright/issues/146