YouTube

EscVM YouTube Channel Repository. Start from Notebooks ⬅️

MCP server cho NotebookLM — tự động tìm video viral, phân tích trend & viết script YouTube bằng Brave Search + Apify + Gemini

Jupyter notebooks used for analysis

Open-source, local-first alternative to NotebookLM. Chat with PDFs, links, YouTube videos and Arabic articles; every answer cites the exact page or moment, and flashcards, quizzes and mind maps open their source. Runs offline on Ollama, or with OpenRouter, NVIDIA, OpenAI, Anthropic, Google or Cohere.

Jupyter Notebook to analyze your YouTube data.

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

CLI scripts replacing 5 Chrome extensions for Google NotebookLM — bulk import, transcript download, cross-notebook search & more. Built on notebooklm-py.


Automates NotebookLM to generate structured Markdown notes from YouTube videos and playlists with automatic notebook cleanup.

This is an AI-native workflow-based tool that sits between NotebookLM and YouTube. Its basic purpose is to scrape all the URLs from any YouTube playlist and upload them as sources into a notebook, saving time and sanity. It is built for The Neo-Faceless Asset Forge, a new YouTube channel for entrepreneurs - coming soon.

Agent dla Claude Code: automatycznie zbiera wideo z YouTube na wybrany temat i buduje bazę wiedzy w NotebookLM gotową do odpytywania.

Manage Google NotebookLM tasks with command-line scripts that replace browser extensions for bulk imports, transcript downloads, and cross-notebook searches.

Convert any YouTube channel into a NotebookLM-ready knowledge base. No API key required.

One-click bulk copy of YouTube playlist video URLs — paste them straight into NotebookLM. / YouTubeのプレイリスト動画URLをワンクリックで一括コピー。NotebookLMにすぐ貼り付けられる Chrome / Vivaldi 拡張機能。

Automated NotebookLM slide deck generation from URLs with Xiaohongshu publishing

A simple package to embed youtube video inside notebook

We have implemented the analysis using python programming language and Jupyter notebooks. We have used many libraries available for data visualization, data scraping, analysis in python. Use of data visualization has lead to creation of data plots or diagrams which can lead to better analysis of trends in pictorial form.

Download YouTube Subtitles using youtube-dl with the option to duplicate a Google Colab Notebook directly

Demo notebooks for the YouTube-Data-API client

Gathers data from a given amount of suggested videos using YouTube's Data API. Comes with a Jupyter Notebook used to plot relationships between key data points. Started this project to research YouTube recommendations and answer specific research questions.