Meet dana2 \u2014 a data analysis viewer for Linux.
Type a command. Get an interactive chart. Let AI explain what it means.
All data is fetched live at query time \u2014 stocks, crypto, weather, flights, earthquakes \u2014 always current, never cached.<\/p>\n\n\n\n
\ud83d\udcca Data & Charts \u2014 what dana2 covers:<\/p>\n\n\n\n
Financial<\/p>\n\n\n\n
Stocks \u2014 OHLC candlestick + volume, up to 10 years, normalized multi-series comparison
Crypto \u2014 Bitcoin, Ethereum, Solana and more
Currency \u2014 exchange rates for any pair, up to 10 years
Commodities \u2014 Gold, Silver, Copper, Oil, Wheat and more \u2014 normalized multi-series comparison<\/p>\n\n\n\n
World Bank data (60+ years)<\/p>\n\n\n\n
GDP, GDP per capita, Inflation, Unemployment Weather & Environment<\/p>\n\n\n\n Weather \u2014 temperature, precipitation, wind (Metric or Imperial) Geography & Local<\/p>\n\n\n\n Earthquakes \u2014 by region or worldwide, last N days, interactive map with depth & magnitude Calendar & Reference<\/p>\n\n\n\n On This Day \u2014 historical events for any date, clickable Wikipedia links Art \ud83c\udfa8<\/p>\n\n\n\n artist Van Gogh \u2014 browse public-domain works by any artist with images All of this with multi-word city names and disambiguation built in, for example:<\/p>\n\n\n\n weather “San Francisco,CA” “Springfield,IL” Moscow 14 Quotes, underscores, state codes, country codes \u2014 all work.<\/p>\n\n\n\n \ud83e\udd16 AI Analysis:<\/p>\n\n\n\n After every fetch, dana2 automatically sends the data to your AI model via mshell IPC. Trend phases, anomalies, cross-series comparisons \u2014 no point-by-point noise, just insight. Works in 15 languages. 3 LLM slots \u2014 Claude, ChatGPT, Gemini, or any Ollama model.<\/p>\n\n\n\n For artwork: one click \u2192 deep art analysis in your language. \ud83d\udd27 Built with C + GTK4 + Python + Plotly. Data sources: Open-Meteo, CoinGecko, OpenSky, World Bank, yfinance, USGS, Overpass API \/ OSM, Art Institute of Chicago, Met Museum, Cleveland Museum of Art, Wikimedia Commons, Wikipedia, Nager.Date.<\/p>\n\n\n\n
Population, CO\u2082 per capita, Life expectancy, Internet penetration
Any World Bank indicator via wb
Gapminder bubble chart \u2014 GDP\/capita vs life expectancy vs population
World choropleth maps \u2014 CO\u2082, life expectancy, GDP per capita<\/code><\/p>\n\n\n\n
Air Quality \u2014 PM2.5, NO\u2082, Ozone hourly
Marine \u2014 wave height, swell, wave period
River discharge \u2014 historical flow data
Climate normals \u2014 50-year trend + anomaly chart
Daylight hours \u2014 sunrise\/sunset across the year
UV index \u2014 daily forecast with risk-level color coding
Weather Maps \u2014 city temperatures across any region
Live Flights \u2014 real-time aircraft positions on a map<\/p>\n\n\n\n
Landmarks \u2014 points of interest for any city with Wikipedia links
Nearby search \u2014 cafes, pharmacies, restaurants, hospitals \u2014 anything around a location<\/p>\n\n\n\n
Public Holidays \u2014 any country, any year
Rankings \u2014 tallest buildings, longest rivers, highest mountains, largest lakes, biggest countries, most populous countries<\/p>\n\n\n\n
art starry night \u2014 search across multiple museum collections (Art Institute of Chicago, Met, Cleveland Museum of Art, Wikimedia Commons)
Click any artwork \u2192 full AI art analysis with title, date, medium, composition, historical context \u2014 in your language<\/p>\n\n\n\n
weather “Paris,FR” “Paris,TX” 30<\/p>\n\n\n\n
Your data. Your model. Your language.<\/p>\n\n\n\n#Linux #DataAnalysis #GTK4 #LLM #Art2DecSoftLab #dana2<\/h1>\n\n\n\n