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==0.8.0
|
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, plus environment switching
(dreamlake env use):
curl -fsSL https://dl.dreamlake.ai/install.sh | bash
upload, download, list, create, delete, update and vectorize
have been removed from this package; they live in the standalone CLI.
What is still here, reachable through python -m dreamlake.cli:
| Command | Status |
|---|---|
artifact append-local, workflow append-local |
not deprecated — see below |
artifact push|list|delete|restore |
deprecated; the standalone CLI has these |
workflow push|list |
deprecated; the standalone CLI has these |
source create|collection create|push |
kept — no standalone-CLI equivalent yet |
video upload|download|list |
deprecated; the standalone CLI has these |
login, logout, profile |
kept — login is the only writer of the token store artifact push / workflow push read |
The append-local writers are not deprecated
artifact append-local and workflow append-local are the canonical
DreamDB writers, and dreamlake-server spawns them as a subprocess —
routes/workflows.ts for workflow apply, routes/artifacts.ts for
artifact apply. Their stdout is a machine contract: exactly one JSON line,
which the server parses as the last non-empty line of stdout. Errors go to
stdout too, as JSON. Do not reformat either.
workflow append-local → {"version": N, "meta": {description, stageCount, nodeCount, edgeCount}}
artifact append-local → {"version": N} # no "meta" key — the two are not symmetric
error (either) → {"error": "...", "message": "..."} # exit 1
The wrapper bin
The server spawns ${WORKFLOWS_APPLY_BIN:-dreamlake} workflow append-local …
and ${ARTIFACTS_APPLY_BIN:-…} artifact append-local …. The dreamlake on
PATH is the standalone TS CLI, which has no DreamDB writer, and
pip install dreamlake deliberately installs no bin of its own. So point
both env vars at the wrapper shipped in this repo:
export WORKFLOWS_APPLY_BIN=/path/to/dreamlake-py/bin/dreamlake-append-local
export ARTIFACTS_APPLY_BIN=/path/to/dreamlake-py/bin/dreamlake-append-local
It is a one-line exec python3 -m dreamlake.cli "$@" and must stay one —
anything the wrapper prints would corrupt the JSON contract above. It is
not registered in [project.scripts], on purpose: the dreamlake name on
PATH belongs to the standalone CLI.
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 frameworkpytest-asyncio>=0.23.0- Async test supportsphinx>=7.2.0- Documentation buildersphinx-rtd-theme>=2.0.0- Read the Docs themesphinx-autobuild>=2024.0.0- Live preview for documentationmyst-parser>=2.0.0- Markdown support for Sphinxruff>=0.3.0- Linter and formattermypy>=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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