Lapce — Rust/Windows, Linux, and MacOS
✨ Why it's amazing
🔗 Get it: GitHub | Website
📲 Screenshots
📁 Source Code
❤️ Sincerely: @SeedOSS
A code editor built with Rope Science from Xi-Editor for lightning-fast computation and wgpu rendering. Features built-in LSP support, modal editing, and remote development inspired by VSCode, with plugins compiled to WASI format.
✨ Why it's amazing
🔗 Get it: GitHub | Website
📲 Screenshots
📁 Source Code
❤️ Sincerely: @SeedOSS
✨ Features of Lapce
∙ 🔌 Built-in LSP: Intelligent completion, diagnostics, and code actions powered by Language Server Protocol.
∙ ⌨️ Modal Editing: Vim-like keybindings as a first-class citizen, toggleable for any workflow.
∙ 🌐 Remote Development: Work on remote systems with a local experience, no SSH terminal juggling required.
∙ 🧩 WASI Plugin System: Write plugins in C, Rust, or AssemblyScript that compile to WebAssembly.
∙ 💻 Integrated Terminal: Execute workspace commands directly inside the editor without switching apps.
∙ ⚡️ Rope Science Backend: Xi-Editor's rope data structure enables instant edits on massive files.
∙ 🎨 GPU-Accelerated UI: Renders with wgpu for smooth, responsive visuals even under heavy load.
∙ 🚀 Pure Rust Performance: Zero garbage collection overhead, predictable latency, and native speed throughout.
∙ 🔌 Built-in LSP: Intelligent completion, diagnostics, and code actions powered by Language Server Protocol.
∙ ⌨️ Modal Editing: Vim-like keybindings as a first-class citizen, toggleable for any workflow.
∙ 🌐 Remote Development: Work on remote systems with a local experience, no SSH terminal juggling required.
∙ 🧩 WASI Plugin System: Write plugins in C, Rust, or AssemblyScript that compile to WebAssembly.
∙ 💻 Integrated Terminal: Execute workspace commands directly inside the editor without switching apps.
∙ ⚡️ Rope Science Backend: Xi-Editor's rope data structure enables instant edits on massive files.
∙ 🎨 GPU-Accelerated UI: Renders with wgpu for smooth, responsive visuals even under heavy load.
∙ 🚀 Pure Rust Performance: Zero garbage collection overhead, predictable latency, and native speed throughout.
AntennaPod — Java/Android
✨ Why it's amazing
🔗 Get it: GitHub | F-Droid | Play Store
📲 Screenshots
📁 Source Code
❤️ Sincerely: @SeedOSS
An Android podcast manager that pulls from the Apple Podcasts database, gPodder.net, fyyd, Podcast Index, OPML files, and direct RSS or Atom URLs. Supports adjustable playback speed, chapter navigation, and automated episode downloading with per-feed WiFi and scheduling controls.
✨ Why it's amazing
🔗 Get it: GitHub | F-Droid | Play Store
📲 Screenshots
📁 Source Code
❤️ Sincerely: @SeedOSS
✨ Features of AntennaPod
∙ 😴 Sleep Timer: Pauses playback after a set duration, episode count, or end of chapter, with shake-to-reset and volume-fade options.
∙ 📋 Queue Management: Organize episodes into a playback queue with drag-to-reorder and smart auto-deletion based on favourites and delay settings.
∙ 📡 Homescreen Widget: Control playback directly from the homescreen, system notification, earplug, or Bluetooth without opening the app.
∙ 🔒 Password-Protected Feeds: Access private or premium podcast feeds that require authentication credentials.
∙ 📤 OPML Export and gPodder Sync: Back up and transfer your subscriptions via OPML export or sync across devices using gPodder.net integration.
∙ 📶 Automated Downloading: Configure per-feed auto-download rules including WiFi network allowlists, charging requirements, and time intervals.
∙ 🔍 Episode Search: Find any episode by searching titles and shownotes across your entire subscription library.
∙ 📖 Chapter Support: Navigate episodes by embedded chapters for podcasts that include chapter markers in their feed.
∙ 😴 Sleep Timer: Pauses playback after a set duration, episode count, or end of chapter, with shake-to-reset and volume-fade options.
∙ 📋 Queue Management: Organize episodes into a playback queue with drag-to-reorder and smart auto-deletion based on favourites and delay settings.
∙ 📡 Homescreen Widget: Control playback directly from the homescreen, system notification, earplug, or Bluetooth without opening the app.
∙ 🔒 Password-Protected Feeds: Access private or premium podcast feeds that require authentication credentials.
∙ 📤 OPML Export and gPodder Sync: Back up and transfer your subscriptions via OPML export or sync across devices using gPodder.net integration.
∙ 📶 Automated Downloading: Configure per-feed auto-download rules including WiFi network allowlists, charging requirements, and time intervals.
∙ 🔍 Episode Search: Find any episode by searching titles and shownotes across your entire subscription library.
∙ 📖 Chapter Support: Navigate episodes by embedded chapters for podcasts that include chapter markers in their feed.
✨ Features of Paperless-ngx
∙ 🔍 Full-Text Search: Every document is indexed after OCR, making any word or phrase instantly retrievable across your entire archive.
∙ 🤖 ML Auto-Tagging: Machine learning automatically assigns tags, correspondents, and document types based on document content as the archive grows.
∙ 📧 Email Ingestion: Connect multiple IMAP accounts with per-account rules so attachments land in Paperless automatically, no manual downloads needed.
∙ 🗂 Nested Tags: Organize documents into tag hierarchies up to 5 levels deep, with parent tags propagating automatically to all child-tagged documents.
∙ ⚙️ Workflow Engine: Trigger-action workflows give fine-grained control over the document pipeline, from consumption through to final metadata assignment.
∙ 🔒 Per-Object Permissions: A multi-user permission system covers both global app access and individual document-level sharing with optional public links.
∙ 📄 Broad Format Support: Ingests PDFs, images, plain text, and Office documents (Word, Excel, PowerPoint, and LibreOffice equivalents) via Apache Tika.
∙ 💾 PDF/A Archival: Processed documents are saved in PDF/A format for long-term preservation, alongside the unaltered originals.
∙ 🔍 Full-Text Search: Every document is indexed after OCR, making any word or phrase instantly retrievable across your entire archive.
∙ 🤖 ML Auto-Tagging: Machine learning automatically assigns tags, correspondents, and document types based on document content as the archive grows.
∙ 📧 Email Ingestion: Connect multiple IMAP accounts with per-account rules so attachments land in Paperless automatically, no manual downloads needed.
∙ 🗂 Nested Tags: Organize documents into tag hierarchies up to 5 levels deep, with parent tags propagating automatically to all child-tagged documents.
∙ ⚙️ Workflow Engine: Trigger-action workflows give fine-grained control over the document pipeline, from consumption through to final metadata assignment.
∙ 🔒 Per-Object Permissions: A multi-user permission system covers both global app access and individual document-level sharing with optional public links.
∙ 📄 Broad Format Support: Ingests PDFs, images, plain text, and Office documents (Word, Excel, PowerPoint, and LibreOffice equivalents) via Apache Tika.
∙ 💾 PDF/A Archival: Processed documents are saved in PDF/A format for long-term preservation, alongside the unaltered originals.