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Artificial Intelligencedocker-readypermissive-licenseOpen-CoreπŸ”΄ Full Β· ~2GB

Langfuse: Open-Core alternative to Datadog LLM Observability in 2026

Langfuse is an open source observability and evaluation platform for LLM applications: traces, per-request costs, evaluation datasets and prompt management, self-hostable alongside your AI stack.

Core is open source, but advanced features or enterprise support may be behind a paid tier β€” check the license.

License MIT35.8k starsWebsite GitHub Repository

Audit Snapshot

View notes β†’
  • License β€” Not verifiable on GitHub

  • GitHub β€” Active

  • Latest release β€” v4.58.0 Β· today

  • Docker Compose β€” Not verified

  • Production β€” Not production-tested by AltFreeStack

Langfuse vs. Datadog LLM Observability

Pros

  • MIT core, with optional separate enterprise features

Things to consider

  • Large-scale deployment adds ClickHouse and Redis

Quick Docker installation guide

Copy this docker-compose.yml, adjust the example passwords and run docker compose up -d on your server. See the full step-by-step guide β†’

πŸ’‘ Official SaaS or self-hosted with AltFreeStack?

  • On the official cloud: a recurring monthly fee and usage limits on Datadog LLM Observability.
  • On your own VPS: the core is free to self-host on your own server β€” no more monthly SaaS fee, though some advanced features stay behind a paid plan.
docker-compose.yml
version: "3.9"
services:
  langfuse:
    image: langfuse/langfuse:sha-b9f9646
    restart: unless-stopped
    ports:
      - "3000:3000"
    environment:
      - DATABASE_URL=postgresql://langfuse:change-me-postgres-password@langfuse-db:5432/langfuse # password must match the canonical db password below
      - NEXTAUTH_SECRET=change-me-super-secret
      - SALT=change-me-salt
    depends_on:
      - langfuse-db
  langfuse-db:
    image: postgres:15-alpine
    restart: unless-stopped
    environment:
      - POSTGRES_USER=langfuse
      - POSTGRES_PASSWORD=change-me-postgres-password # REQUIRED: generate a random secret before first run
      - POSTGRES_DB=langfuse
    volumes:
      - langfuse_pg_data:/var/lib/postgresql/data
volumes:
  langfuse_pg_data:

πŸš€ Deploy in 1 command

Recommended for beginners

Copy this single command and paste it into your freshly created VPS's console (Vultr, DigitalOcean...). It downloads the script, prints it to your screen so you can see exactly what it's about to do (never a blind direct pipe), and only then installs Docker if needed, writes the files with secrets already generated, and starts everything β€” no nano, no pasting code blocks.

curl -sSL ".../api/deploy?stack=langfuse" -o deploy.sh && cat deploy.sh && bash deploy.sh

This docker-compose corresponds to an actively maintained project β€” last commit today.

This docker-compose not working for you? Report it on GitHub β†’

Technical profile

License
MIT
Category
Artificial Intelligence
Replaces
Datadog LLM Observability
Tech stack
TypeScriptNext.jsPostgreSQLClickHouse

Under the hood

Database

PostgreSQL + ClickHouse

Language

TypeScript

Platforms

Web

Key features

  • Detailed traces for every LLM call
  • Prompt management with versioning
  • Datasets and automatic evaluations

Preview

Langfuse interface preview

Public image provided by Langfuse on its own website.

πŸ’Ύ Backups in 3 steps (Day 2)

As long as the ./data folder (the "volume" mapped into the container) exists on your server, your data survives any restart or container update β€” that's the only thing you need to back up.

1. Create a compressed backup on the server

tar -czvf backup-$(date +%F).tar.gz ./data

2. Download it to your computer

From your computer's terminal (not your server's):

scp root@YOUR_IP:~/app/backup-*.tar.gz ./

3. Restore in case of emergency

tar -xzvf backup-file.tar.gz
🌐 Connect your domain with free SSL

Step 1 β€” Set up the DNS

In your domain registrar's dashboard (Cloudflare, Namecheap, GoDaddy...), create a record:

Type
A
Name/Host
@ (root domain) or a subdomain, e.g. app
Content/Value
Your server's public IP

Wait 5 to 15 minutes for the record to propagate across the internet.

Step 2 β€” Automatic reverse proxy with Caddy

One single file, no Nginx config or manual certificates β€” Caddy issues and renews Let's Encrypt HTTPS on its own.

Create a file called Caddyfile:

yourdomain.com {
    reverse_proxy localhost:3000
}

Start Caddy with this command (pulls the image and runs it in the background):

docker run -d -p 80:80 -p 443:443 --name caddy --restart always -v $PWD/Caddyfile:/etc/caddy/Caddyfile -v caddy_data:/data caddy