DataTorch Python
DataTorch CLI and Python API libary for programmatic access.
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-0.6.3-py3-none-any.whl && pip3 install pycocotools
Release files for datatorch 0.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datatorch-0.8.1.tar.gz | 72.7 kB | Without provenance | Details for datatorch-0.8.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datatorch-0.8.1-py3-none-any.whl | Python 3 | none | any | Details for datatorch-0.8.1-py3-none-any.whl |
Total release size: 171.2 kB
Release files / datatorch-0.8.1.tar.gz
| Download URL | datatorch-0.8.1.tar.gz |
|---|---|
| Size | 72.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4edecd92ed213a26832abfcce7817c4e4365dcd61ac65e0a4a723f9aa2676faf
|
|
BLAKE2b-256 checksum How to use checksums |
12ab5e2e6600ac9b014718ccc1f22ced1afb9d6a26819d241469d6dff299e2b3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Release files / datatorch-0.8.1-py3-none-any.whl
| Download URL | datatorch-0.8.1-py3-none-any.whl |
|---|---|
| Size | 98.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66098ae35930df66a89cc83f30af362f4d3a21e07009190319c7418239d3e725
|
|
BLAKE2b-256 checksum How to use checksums |
9394716e995904433c990b429d1296d915354c2625010a2728de9ce1423005b7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Security for datatorch 0.8.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
