Convert Google Keep notes dynamically to markdown for Obsidian, Logseq, Joplin and Notion using the unofficial Keep API. Also, import simple markdown notes back into Google Keep.

Heal your Markdown files: convert to outline, list tasks and more tools to come

Python script that can read csv file and output a markdown file containing logseq block and block properties (from csv data), and a basic query script to generate a table query (like the format in csv file). The goal is to simulate notion table database in logseq. Also come with a script to reverse!

Convert Simplemind .smmx mindmaps directly to markdown outline files with all inner/outer notes, links, relations, images and connection labels for notetaking applications like Obsidian, Logseq, Notion and Joplin

Send content from mobile apps to Logseq

flomo export to markdown for obsidian/logseq

CLI tool to fix linked references for dates.

An Alfred workflow that works with Logseq. ✅ Quickly enter information right from the Alfred bar. ✅ Future-proof your notes with "Glass Dome" links.

open-source logseq sync backend implementation

卡片笔记的在线记录、同步(github 或者 坚果云), 可与logseq、obsidian配合使用

Logseq Markdown Tokenizer is a Python application that tokenizes and estimates prices for one to many markdown files.

📖 Serving .md pages from LogSeq to browser

Ulauncher extension for Logseq

Experiment to generate logseq notes from a youtube video using ML.

Python script to convert Logseq markdown to syntax that looks also good in Obsidian

A backend and UI for semantic search over tabler icons in logseq

Logseq Push Tasker (Logpush) integrates Logseq with Pushbullet, Tasker, KWGT, and Syncthing to streamline task management. It automates actions, sends notifications, and displays tasks on your Android home screen, ensuring a seamless cross-platform experience. Stay organized with Logpush and enhance your productivity effortlessly.

logseq-jira-sync

Una pequeña librería en Python para interaccionar con bloques y grafos de Logseq.

Sentiment Analysis use case deploying RoBERTa model trained on Go Emotion Dataset to classify and plot data on Logseq (personal knowledge base)