Skip to main content

DataTorch Python

DataTorch CLI and Python API libary for programmatic access.

Package Version Python Versions Build Status

Installation

Note: Newer versions (>=0.4.8.2) of DataTorch client use libmagic for more accurate mimetype guessing. This falls back to guessing via extension. Consider installing libmagic if you have issues with file types uploaded to DataTorch.

pip install datatorch

Development

python3 -m pip install --editable .
pip3 install -r requirements.txt

VSCode Configuration

Formatter

Open your VSCode settings, by going Code -> Preferences -> Settings. Search for "python formatting provider" and select "black" from the dropdown menu.

Testing

python3 -m build

python3 -m venv env

rm -rf env

source env/bin/activate && pip3 install dist/datatorch-0.6.1-py3-none-any.whl && pip3 install pycocotools

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datatorch-0.6.1.tar.gz (54.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datatorch-0.6.1-py3-none-any.whl (78.0 kB view details)

Uploaded Python 3

File details

Details for the file datatorch-0.6.1.tar.gz.

File metadata

  • Download URL: datatorch-0.6.1.tar.gz
  • Upload date:
  • Size: 54.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for datatorch-0.6.1.tar.gz
Algorithm Hash digest
SHA256 f8b0007d71a2540f43229da1040e3c229a25f7a1ccfabe8f08ba0171adbf0060
MD5 b5a52d7a3dba65710a64b0bc7ff12c10
BLAKE2b-256 f38e37cff6fb26c39d903825b2fa8713bec95b37f7932948cd14464ba5c0b632

See more details on using hashes here.

File details

Details for the file datatorch-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: datatorch-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 78.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for datatorch-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1adcd0cb52f358b279130b10da8234ae252c9d8ab1d03d6270af22107c56f64e
MD5 1e94a2427b24bd6fad7f2b8e0c2e42c1
BLAKE2b-256 0b8e28bb81f9509b5234dae1a6fc9102499082457d967886e3ad0dc54237ee52

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page