Hey Product Hunt 👋
I'm Ayub, a computer engineering student building MLOpsLab.
I got tired of writing docker-compose.yml for MLflow from scratch every time — tweaking PostgreSQL settings, figuring out S3 configs, remembering the right environment variables.
So I built this: a generator that does it for you.
Select your MLflow version, database (SQLite or PostgreSQL), and artifact storage (local, AWS S3, or GCS). It gives you a production-ready YAML file. Copy it. Run `docker-compose up -d`. You have a complete MLflow tracking server running.
Why this matters: MLflow is the industry standard for experiment tracking. But setting it up with a production database and artifact storage takes time. This removes that friction.
Try it. Break it. Let me know what you think.
Stack: HTML/CSS/JS. 100% client-side. No data leaves your browser. Free forever.
Ask me anything about MLOps, LLM observability, or building in public. Happy to answer.
Thanks for checking it out! 🙏
Report
Maker
Hey Product Hunt! 👋
I'm Ayub — a computer engineering student building MLOpsLab.
I built this tool because I was tired of writing docker-compose.yml for MLflow from scratch every time. Every project needed PostgreSQL, artifact storage, the right environment variables — and I kept Googling the same configs over and over.
So I made a generator. Select your stack. Get YAML. Copy. Run.
Free. No signup. Runs entirely in your browser.
I'd love your feedback, and an upvote if you find it useful.
Ask me anything about the code, MLOps, or building in public.
Thanks for checking it out! 🙏
Report
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Hey Product Hunt! 👋
I'm Ayub — a computer engineering student building MLOpsLab.
I built this tool because I was tired of writing docker-compose.yml for MLflow from scratch every time. Every project needed PostgreSQL, artifact storage, the right environment variables — and I kept Googling the same configs over and over.
So I made a generator. Select your stack. Get YAML. Copy. Run.
Free. No signup. Runs entirely in your browser.
I'd love your feedback, and an upvote if you find it useful.
Ask me anything about the code, MLOps, or building in public.
Thanks for checking it out! 🙏