Installation

pip install datamanifestpy

The core package fetches, verifies, extracts and tracks your datasets and caches your computed results. The data loaders (turning a file into a pandas/xarray/… object) are optional, so you only install the backends you actually use:

pip install "datamanifestpy[csv]"       # pandas CSV
pip install "datamanifestpy[parquet]"   # pandas + pyarrow
pip install "datamanifestpy[nc]"        # xarray + netcdf4
pip install "datamanifestpy[yaml]"      # pyyaml (intake / DVC import)
pip install "datamanifestpy[fsspec]"    # object-store access (s3://, gs://, …)
pip install "datamanifestpy[all]"       # all of the above

Without an extra, datamanifest still downloads, verifies and tracks data and hands you the on-disk path — load_dataset only needs the matching backend for the format you ask it to load.

Requirements

• Python ≥ 3.10.
• Core dependencies (httpx, tqdm, tomli_w, platformdirs) install automatically.

Once installed, head to the quickstart.