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Hey, just wanted to let you know of the latest progress on image.nvim. I added a video recording of the latest state and changes to the README: https://github.com/3rd/image.nvim
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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- ImageMagick and the magick rock are now required and power many of the changes below. - Previously only PNG files were supported, now it supports all the formats supported by ImageMagick. - The cropping logic was generalized and can be delegated to ImageMagick if the backend doesn't support cropping. Currently it applies only to Überzug++, but it will be the case with sixels as well. - Which means Überzug++ is now fully supported in terms of features, it will just be a bit slower and flickery, but it works. - There's a Neorg integration now! - Both the Markdown and Neorg integrations support remote images and toggling the images when entering/exiting insert mode. - You can now perform other actions than :render() and :clear() on images, we have :move(x, y), :brightness(val), :saturation(val) and :hue(). - All temp files are stored in a single temp directory now, but not cleared on exit, I've left that to the OS. - Fixed a lot of bugs, many related to rendering, and optimized many things for performance, especially for Kitty. It's now super snappy and non-flickery even in Tmux (on my machine).
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hologram.nvim
👻 A cross platform terminal image viewer for Neovim. Extensible and fast, written in Lua and C. Works on macOS and Linux. (by vhyrro)
Many thanks to jstkdng for doing the research on using magick and implementing it in his hologram.nvim fork!
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There's a bug in Neorg that's being worked on https://github.com/nvim-neorg/neorg/issues/971
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.