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Dreamlake

A simple and flexible SDK for ML experiment tracking and data storage.

Features

  • Three Usage Styles: Decorator, context manager, or direct instantiation
  • Dual Operation Modes: Remote (API server) or local (filesystem)
  • Auto-creation: Automatically creates namespace, workspace, and folder hierarchy
  • Upsert Behavior: Updates existing episodes or creates new ones
  • Simple API: Minimal configuration, maximum flexibility
  • Time-Based Queries: MCAP-like API for querying track data by timestamp ranges
  • Multi-Modal Sync: Timestamp inheritance for synchronizing pose, images, and sensor data

Installation

Using uv (recommended) Using pip
uv add dreamlake@0.4.2
pip install dreamlake==0.7.0

CLI (deprecated — use the standalone DreamLake CLI)

The Python CLI bundled in this package is deprecated, and this package no longer installs a dreamlake console script. Install the standalone DreamLake CLI instead — same commands, flags, and env vars (including artifact push and the workflow group), plus environment switching (dreamlake env use):

curl -fsSL https://dl.dreamlake.ai/install.sh | bash

The CLI code stays in this package for now. The internal artifact|workflow append-local writers are NOT deprecated — they remain the canonical DreamDB writers that dreamlake-server spawns, reachable via python -m dreamlake.cli (point WORKFLOWS_APPLY_BIN at a wrapper that invokes it).

Quick Start

Remote Mode (with API Server)

from dreamlake import Episode

with Episode(
    name="my-experiment",
    workspace="my-workspace",
    remote="https://cu3thurmv3.us-east-1.awsapprunner.com",
    api_key="your-jwt-token"
) as episode:
    print(f"Episode ID: {episode.id}")

Local Mode (Filesystem)

from dreamlake import Episode

with Episode(
    name="my-experiment",
    workspace="my-workspace",
    local_path=".dreamlake"
) as episode:
    pass  # Your code here

See examples/ for more complete examples.

Development Setup

Installing Dev Dependencies

To contribute to Dreamlake or run tests, install the development dependencies:

Using uv (recommended) Using pip
uv sync --extra dev
pip install -e ".[dev]"

This installs:

  • pytest>=8.0.0 - Testing framework
  • pytest-asyncio>=0.23.0 - Async test support
  • sphinx>=7.2.0 - Documentation builder
  • sphinx-rtd-theme>=2.0.0 - Read the Docs theme
  • sphinx-autobuild>=2024.0.0 - Live preview for documentation
  • myst-parser>=2.0.0 - Markdown support for Sphinx
  • ruff>=0.3.0 - Linter and formatter
  • mypy>=1.9.0 - Type checker

Running Tests

Using uv Using pytest directly
uv run pytest
pytest

Building Documentation

Documentation is built using Sphinx with Read the Docs theme.

Build docs Live preview Clean build
uv run python -m sphinx -b html docs docs/_build/html
uv run sphinx-autobuild docs docs/_build/html
rm -rf docs/_build

The live preview command starts a local server and automatically rebuilds when files change.

Alternatively, you can use the Makefile from within the docs directory:

cd docs
make html          # Build HTML documentation
make clean         # Clean build files

For maintainers, to build and publish a new release: uv build && uv publish

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