🚀 Terax: The Open-Source AI Terminal That Transforms Your Workflow

🤖 What is Terax? Terax is an ultra-lightweight (~7 MB!) open-source AI terminal built with Tauri 2 + Rust and React 19. It's not just a terminal — it's a complete Intelligent Development Environment integrating an AI panel, code editor, file explorer, and web preview in one modern interface. ⭐ Why choose it? 🚀 Extremely lightweight — Only ~7 MB on disk, zero telemetry, no account required 🤖 Built-in AI (BYOK) — Supports OpenAI, Anthropic, Google, Groq, xAI, Cerebras and local models via LM Studio. API keys stored in OS keychain, never on disk 💻 Multi-tab terminal — WebGL rendering, native PTY, zsh/bash/pwsh support, inline search and true color 📝 Integrated code editor — CodeMirror 6 with TS/JS, Rust, Python, HTML/CSS, JSON, Markdown support. Vim mode, prebuilt themes (Tokyo Night, Nord, GitHub, Atom One and more) 📂 File Explorer — Catppuccin icon theme, fuzzy search, keyboard navigation, inline rename 🌐 Web Preview — Auto-detects local dev servers and opens them in a preview tab 🧠 AI Agentic Workflow — Voice input, edit diffs, multi-agent and sub-agents, snippets/skills, customizable system prompt, TERAX.md for project memory 🔧 Useful commands: pnpm install pnpm tauri dev — Development pnpm tauri build — Production 📦 Installation: Arch Linux: yay -S terax-bin Windows: Download the EXE from Releases (note: SmartScreen warning, click "More info → Run anyway") Linux: AppImage, .deb or .rpm available 👉 Discover Terax and take a look: 🔗 https://github.com/crynta/terax-ai License: Apache-2.0 Labels: lang:en

🚀 Terax: Il Terminale AI Open-Source che Trasforma il Tuo Workflow

🤖 Cos'è Terax? Terax è un terminale AI open-source ultra-leggero (sotto i 10 MB!) costruito con Tauri 2 + Rust e React 19. Non è un semplice terminale: è un Ambiente di Sviluppo Intelligente completo che integra un pannello AI, editor di codice, file explorer e anteprima web in un'unica interfaccia moderna. ⭐ Perché sceglierlo? 🚀 Estremamente leggero — Solo ~7 MB sul disco, zero telemetria, zero account richiesti 🤖 AI integrata (BYOK) — Supporta OpenAI, Anthropic, Google, Groq, xAI, Cerebras e modelli locali via LM Studio. Chiavi API memorizzate nel keychain del sistema, mai su disco 💻 Terminale multi-tab — Rendering WebGL,PTY nativo, supporto zsh/bash/pwsh, ricerca inline e vero colore 📝 Editor di codice integrato — CodeMirror 6 con supporto TS/JS, Rust, Python, HTML/CSS, JSON, Markdown. Modalità Vim, temi preinstallati (Tokyo Night, Nord, GitHub, Atom One e altri) 📂 File Explorer — Tema icone Catppuccin, ricerca fuzzy, navigazione da tastiera, rinomina inline 🌐 Web Preview — Rileva automaticamente i server di sviluppo locali e li apre in una scheda di anteprima 🧠 AI Agentic Workflow — Input vocale, edit diffs, multi-agent e sub-agents, snippets/skills, prompt di sistema personalizzabile, TERAX.md per memoria progetto 🔧 Comandi utili: pnpm install pnpm tauri dev — Sviluppo pnpm tauri build — Produzione 📦 Installazione: Arch Linux: yay -S terax-bin Windows: Scarica l'EXE dalle Releases (nota: avvisa SmartScreen, clicca "More info → Run anyway") Linux: AppImage, .deb o .rpm disponibili 👉 Scopri Terax e dai un'occhiata: 🔗 https://github.com/crynta/terax-ai License: Apache-2.0 Labels: lang:it

Maigret: Uncover Who Hides Behind a Username

🔍🕵️‍♂️

Maigret: Uncover Who Hides Behind a Username

Maigret is a powerful open-source OSINT tool that builds a complete dossier on a person using only their username. It checks for account presence across thousands of websites and gathers all available information from profile pages and site APIs. No API keys required.

🚀 Key Features

🤖 3,000+ sites supported — A default run checks the 500 highest-traffic sites. Pass -a to scan everything, or --tags to filter by category/country.

🧠 Intelligent information extraction — Automatically extracts all available data about the account owner, including links to other accounts, from web pages and site APIs.

🔗 Recursive search — Uses discovered usernames and IDs to automatically expand the search, finding related accounts.

🏷️ Advanced filtering — Filter results by tags (site categories, countries) to get targeted and relevant reports.

🛡️ Block bypass — Detects and partially bypasses blocks, censorship, and CAPTCHA to maximize results.

📦 Auto-updating database — Downloads an updated site database every run (once per 24 hours), with offline fallback if there's no connection.

🌐 Tor / I2P / Proxy — Supports routing through Tor, I2P, and HTTP/SOCKS proxies to access .onion / .i2p sites and bypass WAFs.

☁️ Cloudflare bypass — Experimental mode to bypass Cloudflare protections via FlareSolverr.

🤖 AI mode — With --ai and an OpenAI key, Maigret automatically generates a neutral investigation summary: possible real name, location, profession, interests, languages, confidence, and leads for further research.

📦 Installation

🐍 Quick install via pip:

pip3 install maigret
maigret username

📦 Docker:

docker pull soxoj/maigret
docker run -v /mydir:/app/reports soxoj/maigret:latest username --html

🪟 Windows: Download a standalone EXE from the Releases page on GitHub.

📊 Reports and Output

Maigret generates reports in HTML, PDF, XMind, JSON, CSV, and TXT. It also includes an interactive web interface to visualize results as a graph.

🔧 Useful commands:

maigret user --html — Generate HTML report
maigret user --pdf — Generate PDF report
maigret user --graph — Generate interactive D3 graph
maigret user --json ndjson — Machine-readable JSON export
maigret user --tags photo,dating — Search only photo and dating sites
maigret --parse URL — Parse a profile page to extract IDs and usernames
maigret --permute — Generate probable username variants

🎯 Who Is It For

🏆 OSINT professionals, cybersecurity researchers, journalists, and digital investigators. Maigret can also be embedded as a Python library in custom projects for automated analysis pipelines.

⭐ Disclaimer: For educational and lawful purposes only. Comply with local laws (GDPR, CCPA, etc.).

👉 Discover Maigret and take a look:

⭐ https://github.com/soxoj/maigret

Maigret: Scopri Chi Si Nasconde Dietro un Username

🔍🕵️‍♂️

Maigret: Scopri Chi Si Nasconde Dietro un Username

Maigret è un potente strumento OSINT open-source che raccoglie un dossier completo su una persona partendo solo dal suo username. Controlla la presenza di account su migliaia di siti web e raccoglie tutte le informazioni disponibili dalle pagine dei profili e dalle API dei siti. Senza bisogno di API keys.

🚀 Funzionalità principali

🤖 Supporto per 3.000+ siti — Una ricerca predefinita controlla i 500 siti più popolari per traffico. Usa -a per scansionare tutto, o --tags per filtrare per categoria/paese.

🧠 Estrazione intelligente delle informazioni — Estrae automaticamente tutti i dati disponibili sul proprietario del profilo, inclusi link ad altri account, da pagine web e API dei siti.

🔗 Ricerca ricorsiva — Usa i username e gli ID scoperti durante la scansione per espandere automaticamente la ricerca, trovando account correlati.

🏷️ Filtraggio avanzato — Filtra i risultati per tag (categorie di siti, paesi) per ottenere report mirati e pertinenti.

🛡️ Bypass dei blocchi — Rileva e aggira parzialmente blocchi, censura e CAPTCHA per massimizzare i risultati.

📦 Database auto-aggiornante — Scarica un database aggiornato dei siti ogni volta che viene eseguito (una volta al giorno), con fallback offline se non c'è connessione.

🌐 Tor / I2P / Proxy — Supporta il routing attraverso Tor, I2P e proxy HTTP/SOCKS per accedere a siti .onion / .i2p e bypassare WAF.

☁️ Bypass Cloudflare — Modalità sperimentale per aggirare le protezioni Cloudflare tramite FlareSolverr.

🤖 Modalità AI — Con --ai e una chiave OpenAI, Maigret genera automaticamente un riassunto neutro dell'indagine: possibile nome reale, posizione, professione, interessi, lingue, confidenza e lead per approfondimenti.

📦 Installazione

🐍 Installazione rapida via pip:

pip3 install maigret
maigret nome_utente

📦 Docker:

docker pull soxoj/maigret
docker run -v /mydir:/app/reports soxoj/maigret:latest username --html

🪟 Windows: Scarica un EXE standalone dalle Releases su GitHub.

📊 Report e output

Maigret genera report in HTML, PDF, XMind, JSON, CSV e TXT. Include anche un'interfaccia web interattiva per visualizzare i risultati come un grafo.

🔧 Comandi utili:

maigret user --html — Genera report HTML
maigret user --pdf — Genera report PDF
maigret user --graph — Genera grafo D3 interattivo
maigret user --json ndjson — Esportazione JSON per macchine
maigret user --tags photo,dating — Cerca solo su siti di foto e dating
maigret --parse URL — Analizza una pagina profilo per estrarre ID e username
maigret --permute — Genera varianti probabili di username

🎯 Per chi è

🏆 Professionisti OSINT, ricercatori di cybersecurity, giornalisti e investigatori digitali. Maigret può anche essere integrato come libreria Python in progetti personalizzati per pipeline di analisi automatizzate.

⭐ Disclaimer: Uso educativo e legale. Rispettare le leggi locali (GDPR, CCPA, ecc.).

👉 Scopri Maigret e dai un'occhiata:

⭐ https://github.com/soxoj/maigret

🚀 Crucix: Your Personal Intelligence Terminal

# 🚀 Crucix ## Your Personal Intelligence Terminal — 27 Sources. One Command. Zero Cloud.

🎯 What is Crucix?

Crucix is an open-source intelligence agent that watches the world for you, aggregating data from 27 different OSINT sources — satellite imagery, radiation levels, conflict events, economic indicators, flight tracking, maritime activity and much more — into a single Jarvis-style dashboard, updated every 15 minutes.
💻 Key Features

📊 Live Intelligent Dashboard
• 🌐 3D WebGL Globe with atmosphere, star field and smooth rotation — with flat map toggle
• 🔥 9 marker types: fire detection, air traffic, radiation sites, maritime chokepoints, OSINT events, health alerts, geolocated news, conflict events
• ✈️ Animated 3D flight corridor arcs between air traffic hotspots and global hubs
• 📈 Real-time market data — indexes, crypto, energy, commodities via Yahoo Finance (no API key needed)
• ⚡ Risk gauges — VIX, high-yield spread, supply chain pressure index
• 📡 OSINT feed — posts from 17 Telegram intelligence channels (expandable)
• 📰 News ticker — RSS + GDELT + Telegram, auto-scrolling
• 🔍 Sweep Delta — live panel showing what changed since last cycle
• ☢️ Nuclear Watch — real-time radiation readings from Safecast + EPA RadNet
• 🛰️ Space Watch — CelesTrak satellite tracking: recent launches, ISS, military constellations, Starlink/OneWeb
• 💡 AI Ideas — trade ideas generated by LLM or signal-correlated

🤖 Telegram & Discord Bots (Two-Way)
• /status — System health, last sweep, source status, LLM status
• /sweep — Trigger a manual sweep
• /brief — Compact summary of latest intelligence
• /portfolio — Portfolio status (if connected Alpaca)
• /alerts — Alert history with tiers
• /mute / /mute 2h — Silence alerts for 1h (or custom duration)
• /unmute — Resume alerts
• /help — Show all available commands

🧠 Optional LLM Integration
• 8 supported providers: Anthropic Claude, OpenAI, Google Gemini, OpenRouter, OpenAI Codex, MiniMax, Mistral, Grok
• AI trade ideas — quantitative analyst producing 5-8 actionable ideas
• Smarter alerts — FLASH/PRIORITY/ROUTINE classification with cross-domain correlation
• Auto fallback — when LLM is unavailable, rule-based engine takes over without crashes

📦 Flexible Deployment
• Node.js — just npm install and npm run dev (only Express as dependency)
• Docker — docker compose up -d for instant deploy
• Zero API keys — works with 18+ sources without authentication
• Minimum requirements — Node.js 22+

📊 27 Data Sources Organized in 5 Tiers
• Tier 1 — OSINT & Geopolitics (11): GDELT, OpenSky, NASA FIRMS, Maritime/AIS, Safecast, ACLED, ReliefWeb, WHO, OFAC, OpenSanctions, ADS-B Exchange
• Tier 2 — Economic & Financial (7): FRED, US Treasury, BLS, EIA, GSCPI, USAspending, UN Comtrade
• Tier 3 — Weather, Environment, Tech, Social, SIGINT (7): NOAA/NWS, EPA RadNet, USPTO, Bluesky, Reddit, Telegram, KiwiSDR
• Tier 4 — Space & Satellites (1): CelesTrak
• Tier 5 — Live Market Data (1): Yahoo Finance

🔧 Design Principles
• Pure ESM — every file is .mjs with explicit imports
• Minimal dependencies — only Express as runtime dependency
• Parallel execution — all 27 sources via Promise.allSettled()
• Graceful degradation — missing keys = structured errors, not crashes
• Standalone sources — each source is independently testable

🏆 Quick Start

git clone https://github.com/calesthio/Crucix.git
cd Crucix
npm install
cp .env.example .env
npm run dev

👉 Check out Crucix and star it on GitHub:
⭐ https://github.com/calesthio/Crucix

🔗 Live demo: https://www.crucix.live/
⚡ 9.9k+ stars on GitHub • 📜 AGPL-3.0 License

🚀 Crucix: Il Tuo Terminale di Intelligence Personale

# 🚀 Crucix ## Il Tuo Terminale di Intelligence Personale — 27 Fonti. Un Comando. Zero Cloud.

🎯 Cos'è Crucix?

Crucix è un agente di intelligence open-source che monitora il mondo per te, aggregando dati da 27 fonti OSINT diverse — immagini satellitari, livelli di radiazioni, eventi di conflitto, indicatori economici, tracciamento voli, attività marittima e molto altro — in un unico dashboard stile Jarvis, aggiornato ogni 15 minuti.
💻 Caratteristiche Principali

📊 Dashboard Live Intelligente
• 🌐 Globo 3D WebGL con atmosfera, campo stellare e rotazione fluida — con toggle mappa piatta
• 🔥 9 tipi di marker: rilevamento incendi, traffico aereo, siti di radiazioni, chokepoint marittimi, eventi OSINT, alert sanitari, notizie geolocate, eventi di conflitto
• ✈️ Arci di volo 3D animati tra hotspot del traffico aereo e hub globali
• 📈 Dati di mercato in tempo reale — indici, crypto, energia, commodities via Yahoo Finance (senza API key)
• ⚡ Gauge di rischio — VIX, spread high-yield, indice pressione supply chain
• 📡 Feed OSINT — post da 17 canali Telegram intelligence (expandable)
• 📰 News ticker — RSS + GDELT + Telegram, auto-scrolling
• 🔍 Sweep Delta — panel live che mostra cosa è cambiato dall'ultimo ciclo
• ☢️ Nuclear Watch — letture radiazioni in tempo reale da Safecast + EPA RadNet
• 🛰️ Space Watch — tracciamento satelliti CelesTrak: lanci recenti, ISS, costellazioni militari, Starlink/OneWeb
• 💡 Ideas AI — trade ideas generate dall'LLM o correlate ai segnali

🤖 Bot Telegram e Discord (Due Vie)
• /status — Salute sistema, ultimo sweep, stato sorgenti, stato LLM
• /sweep — Trigger manuale di uno sweep
• /brief — Riepilogo compatto dell'intelligence più recente
• /portfolio — Stato portfolio (se connesso Alpaca)
• /alerts — Cronologia alert con tier
• /mute / /mute 2h — Silenzia alert per 1h (o durata personalizzata)
• /unmute — Riattiva alert
• /help — Mostra tutti i comandi disponibili

🧠 Integrazione LLM (Opzionale)
• 8 provider supportati: Anthropic Claude, OpenAI, Google Gemini, OpenRouter, OpenAI Codex, MiniMax, Mistral, Grok
• Trade ideas AI — analista quantitativo che produce 5-8 ideas azionabili
• Alert smarter — classificazione FLASH/PRIORITY/ROUTINE con correlazione cross-domain
• Fallback automatico — quando l'LLM non è disponibile, il motore rule-based subentra senza crash

📦 Deployment Flessibile
• Node.js — basta npm install e npm run dev (solo Express come dipendenza)
• Docker — docker compose up -d per deploy immediato
• Zero API keys — funziona con 18+ fonti senza autenticazione
• Requisiti minimi — Node.js 22+

📊 27 Fonti Dati Organizzate in 5 Tier
• Tier 1 — OSINT & Geopolitica (11): GDELT, OpenSky, NASA FIRMS, Maritime/AIS, Safecast, ACLED, ReliefWeb, WHO, OFAC, OpenSanctions, ADS-B Exchange
• Tier 2 — Economico & Finanziario (7): FRED, US Treasury, BLS, EIA, GSCPI, USAspending, UN Comtrade
• Tier 3 — Meteo, Ambiente, Tech, Social, SIGINT (7): NOAA/NWS, EPA RadNet, USPTO, Bluesky, Reddit, Telegram, KiwiSDR
• Tier 4 — Spazio & Satelliti (1): CelesTrak
• Tier 5 — Market Data Live (1): Yahoo Finance

🔧 Design Principles
• Pure ESM — ogni file è .mjs con import espliciti
• Minimal dependencies — solo Express come runtime
• Esecuzione parallela — tutte le 27 sorgenti in Promise.allSettled()
• Graceful degradation — chiavi mancanti = errori strutturati, non crash
• Source standalone — ogni sorgente è testabile indipendentemente

🏆 Quick Start

git clone https://github.com/calesthio/Crucix.git
cd Crucix
npm install
cp .env.example .env
npm run dev

👉 Scopri Crucix e dagli una stella:
⭐ https://github.com/calesthio/Crucix

🔗 Demo live: https://www.crucix.live/
⚡ 9.9k+ stelle su GitHub • 📜 Licenza AGPL-3.0

🚀 TrendRadar: AI-Driven Global Trend & Public Opinion Monitor — 11+ Platforms, Smart Push & Built-in AI Analysis

🚀 TrendRadar: AI-Driven Global Trend & Public Opinion Monitor

TrendRadar is an open-source project that aggregates news from 11+ platforms (Zhihu, Douyin, Bilibili, Weibo, Baidu, Toutiao, Wall Street CN, and more) and filters them with artificial intelligence, so you only receive what truly matters to you.

🎯 What Does TrendRadar Do?

📊 Multi-Platform Aggregation

Automatically monitors trending topics from:

🐦 Weibo • 📱 Douyin (TikTok) • 🧠 Zhihu • 🎬 Bilibili • 🔍 Baidu • 📰 Toutiao • 💰 Wall Street CN • 📋 The Paper • 🌐 Ifeng • Tieba and more

🤖 Built-in AI Intelligence

• AI Filtering: describe your interests in natural language and AI automatically classifies all news

• AI Analysis: generates reports with trend analysis, sentiment detection, and deep insights

• Multi-language Translation: automatically translate content into any language

⚡ Three Push Modes

• Daily — Complete daily summary

• Current — Real-time trending board

• Incremental — Only new content, zero duplicates

📡 Push to 9+ Channels

Feishu • DingTalk • Telegram • Email • ntfy • Bark • Slack • WeChat + Custom Webhooks (Discord, IFTTT, and more)

🧠 Trend Tracking

• Full timeline for every story: when it appeared, how rankings changed

• Cross-platform comparison: where is it most viral?

• New topic detection with 🆕 badge

📡 Built-in RSS Support

Supports RSS/Atom feeds with keyword filtering, timezone awareness, and smart deduplication.

📊 Interactive HTML Reports

Web reports with dark mode, real-time search, tab navigation, and one-click link copying.

🔧 Flexible Deployment

Docker (recommended) • GitHub Actions (cloud, no server needed) • Local on Windows/Mac/Linux

⚙️ Getting Started

git clone https://github.com/sansan0/TrendRadar.git cd TrendRadar pip install -r requirements.txt

Then configure config.yaml and frequency_words.txt with your keywords and desired push channels. You'll be up and running in 30 seconds!

For detailed configuration, check out the full documentation in the README.

⭐ If you find TrendRadar useful, starring it on GitHub is the best way to support its development!

👉 Discover TrendRadar:
https://github.com/sansan0/TrendRadar

🏆 57.7k+ stars on GitHub • Licensed under GPL-3.0

🚀 TrendRadar: Monitoraggio AI delle Tendenze Globali — 11+ Piattaforme, Push Intelligente e Analisi AI Integrata

🚀 TrendRadar — Il Tuo Assistente AI per il Monitoraggio delle Tendenze Globali

TrendRadar è un progetto open-source che ti permette di aggregare le notizie da oltre 11 piattaforme (Zhihu, Douyin, Bilibili, Weibo, Baidu, Toutiao, Wall Street CN, e altre) e di filtrarle con l'intelligenza artificiale, per ricevere solo ciò che ti interessa davvero.

🎯 Cosa fa TrendRadar?

📊 Aggregazione multi-piattaforma

Monitora automaticamente le tendenze da:

🐦 Weibo • 📱 Douyin (TikTok) • 🧠 Zhihu • 🎬 Bilibili • 🔍 Baidu • 📰 Toutiao • 💰 Wall Street CN • 📋 The Paper • 🌐 Ifeng • Tieba e altri ancora

🤖 AI intelligente integrata

• Filtro AI: descrivi i tuoi interessi in linguaggio naturale e l'AI classifica automaticamente le notizie

• Analisi AI: generazione di report con trend, sentiment analysis e insight

• Traduzione multilingua: traduci automaticamente i contenuti in qualsiasi lingua

⚡ Tre modalità di推送

• Daily — Riepilogo completo della giornata

• Current — Classifica attuale in tempo reale

• Incremental — Solo novità, zero ripetizioni

📡 Push su 9+ canali

Feishu • DingTalk • Telegram • Email • ntfy • Bark • Slack • WeChat + Webhook personalizzati (Discord, IFTTT...)

🧠 Tracking delle tendenze

• Timeline di ogni notizia: da quando è apparsa, come è cambiata la posizione

• Confronto cross-piattaforma: dove è più virale?

• Rilevamento nuovi argomenti con badge 🆕

📡 RSS integrato

Supporta feed RSS/Atom con filtraggio per keyword, fuso orario e deduplicazione intelligente.

📊 Report HTML interattivo

Report web con dark mode, ricerca in tempo reale, tab navigation e copia rapida dei link.

🔧 Deployment flessibile

Docker (consigliato) • GitHub Actions (cloud, zero server) • Locale su Windows/Mac/Linux

⚙️ Come iniziare

git clone https://github.com/sansan0/TrendRadar.git cd TrendRadar pip install -r requirements.txt

Poi configura config.yaml e frequency_words.txt con le tue keyword e i canali di push desiderati. In 30 secondi sei operativo!

Per la configurazione dettagliata, consulta la documentazione completa nel README.

⭐ Se trovi utile TrendRadar, dargli una stella su GitHub è il modo migliore per supportare lo sviluppo!

👉 Scopri TrendRadar:
https://github.com/sansan0/TrendRadar

🏆 57.7k+ stelle su GitHub • Licenza GPL-3.0

Skyvern: Automate Browser-Based Workflows with AI

Skyvern is an open-source tool that automates browser-based workflows by leveraging LLMs (Large Language Models) and Computer Vision. In practice, it allows you to automate repetitive tasks on any website without writing custom code.

How It Works
Instead of using traditional XPath selectors that break when a site changes its layout, Skyvern uses AI agents that "see" the page and understand its contents, mapping visual elements to the required actions. It is inspired by the design of task-driven autonomous agents like BabyAGI and AutoGPT, but with the added ability to interact with websites through browser automation libraries such as Playwright.

Key Features

• AI-Powered Page Commands: Uses natural language to interact with elements (click, fill, extract, validate)
• Task & Workflow: Create single tasks or multi-step concatenated workflows
• Data Extraction: Extract structured data from web pages with JSON schema
• File Downloading: Automatically download files from websites
• Authentication Support: Supports 2FA (TOTP, email, SMS) and integrations with password managers (Bitwarden, 1Password, LastPass)

• Live Streaming: Watch in real time what Skyvern is doing on the browser
• Multi-LLM Support: OpenAI, Anthropic, Gemini, Ollama, OpenRouter, and others

Installation Options

• Skyvern Cloud: Managed version on app.skyvern.com
• Local Setup: With pip install skyvern or Docker Compose
• SDK: Python and TypeScript with Playwright-compatible APIs

Learn more at: https://github.com/Skyvern-AI/skyvern

License: AGPL-3.0 | Stars: 21.6k | Version: 1.0.36 (2026-05-10)

Copilot in Excel: Artificial Intelligence for Your Spreadsheets

Microsoft has integrated the AI assistant Copilot directly into Excel, turning traditional spreadsheets into powerful data analysis tools. But what exactly does it do?

What Is Copilot in Excel
Copilot is the Microsoft 365 artificial intelligence that integrates into your spreadsheet to help you:

• Analyze data intelligently
• Gather insights without writing complex formulas
• Automatically create reports and charts
• Analyze text (feedback, comments, responses)

Key Features
Here are the highlights:

• Sentiment Analysis: Understands whether text is positive, negative, or neutral
• Automatic Summarization: Summarizes large amounts of data in seconds
• Smart Prompts: Simply ask what you want, and Copilot guides you
• Automatic Charts: Visualize trends with one click
• Planning: Helps you create budgets, forecasts, and trackers

Sentiment Analysis in Practice
With Copilot you can analyze feedback, comments, and survey responses. For example:

• Ask: "Analyze the sentiment of the comments in this column"
• Copilot identifies the main emotions and provides a detailed analysis
• The result can be inserted directly into the spreadsheet

Project Link
To learn more about Copilot in Excel, visit Microsoft's official documentation:
https://aka.ms/excel-copilot

With this integration, Excel becomes a true business intelligence tool, making data analysis accessible even to non-experts.