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Concepts

This page collects the vocabulary that appears across these docs. Follow a link for the full detail.

Term What it is
TimeF The one format for every dataset. It has one on-disk shape and one API, so an ECG, an accelerometer trace, and a market series all read the same way.
Dataset A named, versioned collection of records in TimeF, addressed as org/name (for example chengsenwang/tsqa).
Record One recording session containing a recursive hierarchy of Sources and Signals.
Source A device, sensor, or subsystem. A Source can contain child Sources and Signals.
Signal One named value stream with its own TimeAxis and TimeSeriesSpec. Values remain lazy until read.
Manifest The manifest.json entry point for a version. It contains metadata, schema, counts, checksums, and file paths. Its presence marks a committed version.
Connector One BaseConnector per dataset. download() fetches the raw source. convert() builds a TimeFDataset. It knows nothing about the engine or registry.
Engine run_pipeline: drives any connector through the fixed download -> convert -> derive_schema -> store pipeline, and owns caching and idempotency.
Build Running a connector through the engine to compile a dataset and publish it with the timenet-build CLI.
Registry A served location of compiled TimeF versions that the SDK reads. It serves a DuckDB control plane plus a Parquet or Zarr values plane. It never runs connector code. It can be a local directory, S3, or a remote host.
Client (SDK) TimeNet: the consumer entry point to search, download, and load datasets.
Version An immutable snapshot of a dataset, addressed org/name@version. Once its manifest.json lands, TimeNet commits it atomically.