pulseon 0.1.0a3

Local-first training metrics tracker backed by Rust, PyO3, DuckDB, and DuckLake.

PulseOn

PulseOn is a local-first training metrics tracker backed by Rust, PyO3, DuckDB, and DuckLake.

Current alpha: 0.1.0a3 / v3 native local storage loop:

• create a project
• start or resume a run
• log explicit-step numeric metrics through a bounded async queue
• query metric series and summaries locally
• support local DuckDB-backed DuckLake catalog storage by default
• support local SQLite-backed DuckLake catalog storage when requested
• keep the current public data path local-filesystem only
• keep Parquet as the long-term compatibility boundary

Quickstart:

import pulseon

client = pulseon.init()
project = client.create_project("local training")
run = client.create_run(project.project_id, "baseline")
run.log("train/loss", 0, 0.25)
client.finish_run(run.run_id)
client.shutdown()

By default, PulseOn stores local state under ./.pulseon. Pass an explicit root path when a project should use a different local store:

client = pulseon.init("runs")

The existing storage keywords remain available: data_path, catalog_backend, catalog_path, and metric_queue_capacity.

For bounded teardown, stop active logging threads before calling client.shutdown(timeout=...); PulseOn keeps admission open while bounded shutdown is draining, so concurrent run.log(...) calls can prevent that drain from completing before the timeout.

Architecture entry points:

• Docs index
• Native storage boundary
• Glossary
• Roadmap
• ADRs

Runtime extensions:

• DuckLake is installed and loaded by the native engine because it is required for native storage.
• DuckDB LTTB is not bundled into the SDK. PulseOn loads an already installed lttb extension when downsampling is requested with max_points. To allow PulseOn to download it from the DuckDB community repository at that point, set PULSEON_LTTB_AUTO_INSTALL=1. To use a local build instead, set PULSEON_LTTB_EXTENSION_PATH=/path/to/lttb.duckdb_extension.