From data to ML — simply, locally.
DataWizardML is an early-stage, local/on-prem tool that turns raw datasets into reproducible machine-learning pipelines. No hosted service — your data stays where it lives.
Illustration: simple data → ML pipeline (local)
Runs on your machine or server — no cloud transfer.
Overview
Connect to your datasets, check structure and quality, then build a repeatable pipeline: ingest → profile → prepare → train → deploy. The emphasis is clarity over complexity and keeping everything under your control.
Planned capabilities
- Direct connection to common data formats with a simple structure/quality view.
- Automatic preparation with sensible defaults and manual overrides.
- Model training with a straightforward leaderboard and evaluation summary.
- Local deployment options such as small services or scheduled jobs.
- Run records for reproducibility and basic audit.
Design approach
No cloud dependency. Installation is meant for desktops or private servers (including isolated networks). This suits teams with sensitive data or regulatory constraints who prefer full local control.
Goals
- Empower users to create useful models quickly without large teams.
- Keep data private by running everything locally or on private servers.
- Simplify workflows so you focus on questions, not plumbing.
- Support compliance with reproducible runs and simple records.
- Be practical: enough automation to be helpful, without losing control.
Frequently Asked Questions
Is this cloud-based?
No. DataWizardML is intended to run on local machines or private servers. Your datasets stay in your environment.
Who is this for?
People and teams who want a clear, repeatable path from raw data to useful models without sending data to external services.
What does “local deployment” mean?
After training, results can be packaged into a small service or scheduled job that runs on your own machine or server.
Do I need internet?
Not for day-to-day use. Internet is only helpful for updates or documentation if you choose.
When will it be available?
We’re exploring interest and gathering feedback. If you’d like to try an early version, leave a note in the contact form.
Will this replace my current tools?
It’s meant to complement what you have by simplifying repetitive steps and creating a consistent pipeline you can run locally.
Contact
Tell us what you’d like to achieve — the prompts below help tailor a reply.
Illustration: message → local inbox → reply (no cloud)
Get in touch
Private & local
We usually reply within 1–2 business days.