drift — terminal-first, chat-based AutoML. Open source. No tokens. No auth.
Project description
drift
Terminal-first, chat-based AutoML. Open source. No tokens. No auth.
Install
pipx install drift-ml
Or:
npm install -g drift-ml
(Both require pipx install drift-ml for the Python CLI.)
Run
drift
On first run, drift downloads and starts the engine automatically. No backend setup. No config. No tokens.
How it works
- Local-first — Engine runs on your machine. Data never leaves.
- Chat-based —
load data.csv,predict price,try something stronger - Auto-start — Engine downloads and starts in the background. You never start a backend manually.
- No auth — No API keys for drift. (You need an LLM for training: Ollama, Gemini CLI, etc.)
Example (CLI)
drift › load iris.csv
drift › predict variety
drift › try something stronger
drift › quit
Use as library
pip install drift-ml
from drift import Drift
d = Drift()
d.load("iris.csv")
d.chat("predict sepal length")
result = d.train()
print(result["metrics"])
Or with an existing engine:
from drift import Drift
d = Drift(base_url="http://localhost:8000")
d.load("data.csv")
reply = d.chat("predict price")
print(d.get_last_reply(reply))
Philosophy
drift should feel like git, docker, brew — a tool you trust immediately. Zero friction. Open source.
Web UI (optional)
This repo also includes a web UI. For development:
./start.sh
Then open http://localhost:3000
Contributing
See CONTRIBUTING.md.
License
MIT
Project details
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