colossus-lab

colossus-lab / openarg_frontend

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Interactive chat interface for querying Argentine public datasets using natural language. Multi-agent pipeline visualization, real-time streaming, chart generation, and conversation history. Built with Next.js 16, React 19, and TypeScript.

10
0
100% credibility
Found Mar 24, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

OpenArg is a conversational AI interface for querying Argentina's open government datasets, delivering responses with interactive charts, tables, and verified sources.

How It Works

1
🌐 Discover OpenArg

You stumble upon OpenArg, a friendly chat tool that lets you ask questions about Argentina's public government data and get clear answers with charts.

2
🔐 Sign In Quickly

Click the sign-in button and use your Google account to get started in seconds—no hassle, just access to your personal chat history.

3
💬 Ask Your Question

Type a natural question like 'How has inflation changed in the last year?' and hit send, feeling excited for insights from real public data.

4
🤖 Watch the Magic Happen

See colorful agents light up one by one—planning, researching data portals, analyzing numbers, and writing your answer—as it builds right before your eyes.

5
📊 Get Your Answer

Receive a detailed response packed with easy-to-read charts, tables, and clickable links to the original government sources for full trust.

✅ Unlock Data Insights

You've effortlessly turned complex public data into simple, actionable understanding, ready to explore more or share your discoveries.

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Star Growth

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AI-Generated Review

What is openarg_frontend?

Openarg_frontend delivers an interactive chat UI for natural language queries against Argentine public datasets from 32 government portals. Users ask questions, watch a real-time multi-agent pipeline visualize progress (planning, research, analysis, synthesis), and get streamed responses with charts, tables, and source links—plus conversation history and a datasets explorer. Built with Next.js 16, React 19, and TypeScript, it proxies a FastAPI backend via SSE for seamless streaming.

Why is it gaining traction?

It stands out with live agent activity bars and Argentina-themed glassmorphism UI, turning dry data queries into an engaging interactive chat experience like interactive chat rooms for public stats. Docker-ready deploys and Google OAuth make it quick to spin up, while chart generation (Recharts, Observable Plot) delivers instant visuals without extra setup—perfect for LLM-powered data tools.

Who should use this?

Argentine data analysts or researchers querying open government portals via natural language. Devs prototyping interactive chat UIs for public datasets, or teams building transparency dashboards with conversation history and real-time streaming.

Verdict

Solid starter at 1.0% credibility (10 stars) with strong docs, Vitest coverage, and Docker support, but pair it with the backend repo for production. Fork it for custom Argentine data bots—early but production-grade UI.

(198 words)

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