TuneForge - LLM Fine-Tuning Monitoring Dashboard icon

TuneForge - LLM Fine-Tuning Monitoring Dashboard

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TuneForge - LLM Fine-Tuning Monitoring Dashboard

Description

TuneForge is a self-hosted monitoring dashboard for LLM fine-tuning runs. Your trainer streams metrics to your own server over a simple HTTP API, and TuneForge turns them into live charts, alerts and dataset diagnostics. No third-party cloud logging, no per-seat fees: your data stays on your infrastructure.

Built with Next.js 16, TypeScript, Tailwind CSS and Prisma (SQLite). Includes full source code, setup guide, connector API docs, a Python connector example, demo-data seeding and a connector simulator.

The live demo runs on simulated data (no backend). The real product connects to your own training runs. Demo login password: TuneForgeDemo2026!

Features

- Real-time training metrics over Server-Sent Events: loss, validation loss, learning rate, tokens/sec - GPU monitoring: temperature, VRAM fragmentation, thermal-throttle detection, predictive alerts, cost meter - Dataset insights: loss-spike attribution to samples, label-confidence histograms, train/eval contamination scans - Model health: gradient norms, update ratios, forgetting evaluation - Experiment registry with side-by-side run comparison and config diff - Alerts to Discord/Slack-style webhooks with six configurable triggers - Checkpoint storage with upload, download, tagging and optional HuggingFace push - Inference playground for any OpenAI-compatible endpoint with token streaming - Simple HTTP ingest API with API-key auth, plus an MLflow / W&B import script - Single-admin password login, rate-limited, with a CLI password reset

Requirements

- Node.js 20.9+ (22 recommended) and npm 10+ - No separate database server needed (SQLite is included via Prisma) - Optional: webhook URL for alerts, HuggingFace token for checkpoint push, an OpenAI-compatible endpoint for the playground - HTTPS (e.g. Caddy or nginx) for any access other than localhost

Instructions

1. Extract the ZIP and open the tuneforge folder. 2. Copy .env.example to .env. Set JWT_SECRET and INGEST_API_KEY (generate each with: openssl rand -hex 32). 3. Run: npm install 4. Run: npx prisma migrate deploy 5. Run: npm run build 6. Run: npm start 7. Open http://localhost:3000/setup and choose your admin password. 8. Connect your trainer using docs/connector-api.md (includes a Python example). Optional: load demo data with  npx tsx scripts/seed-demo-data.ts Full details are in README.md and SETUP.md.

Authormohamedalshafey
CategoryScripts & Code / NodeJS
Price$84
Extended License$252
First ReleaseOct 12, 2026
Last UpdateOct 12, 2026
DatabaseSQLite 3.x
Files included.css, .ts, .tsx, .json, .svg, .sql, .md, package.json
Software versionNode.js 22
Html/css frameworkTailwind CSS
Software frameworkNext.js
Javascript frameworkReact, Next.js, Node.js

External listing. code.market does not sell this product and does not process payment for it. Pricing, payment, delivery, licensing, refunds, and support are handled by the third-party merchant on its own website. We may earn an affiliate commission from a referral. Details.

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