DTLPY – SDK and CLI for Dataloop.ai

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📚 Platform Documentation | 📖 SDK Documentation | Developer docs

An open-source SDK and CLI toolkit to interact seamlessly with the Dataloop.ai platform, providing powerful data management, annotation capabilities, and workflow automation.

Table of Contents

Overview

DTLPY provides a robust Python SDK and a powerful CLI, enabling developers and data scientists to automate tasks, manage datasets, annotations, and streamline workflows within the Dataloop platform.

Installation

Install DTLPY directly from PyPI using pip:

pip install dtlpy

Alternatively, for the latest development version, install directly from GitHub:

pip install git+https://github.com/dataloop-ai/dtlpy.git

Usage

SDK Usage

Here's a basic example to get started with the DTLPY SDK:

import dtlpy as dl

# Authenticate
dl.login()

# Access a project
project = dl.projects.get(project_name='your-project-name')

# Access dataset
dataset = project.datasets.get(dataset_name='your-dataset-name')

CLI Usage

DTLPY also provides a convenient command-line interface:

dlp login
dlp projects ls
dlp datasets ls --project-name your-project-name

Python Version Support

DTLPY supports multiple Python versions as follows:

Python Version 3.14 3.13 3.12 3.11 3.10 3.9 3.8 3.7
dtlpy >= 1.118 ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌
dtlpy 1.99–1.117 ❌ ❌ ❌ ✅ ✅ ✅ ✅ ✅
dtlpy 1.76–1.98 ❌ ❌ ❌ ✅ ✅ ✅ ✅ ✅
dtlpy >= 1.61 ❌ ❌ ❌ ❌ ✅ ✅ ✅ ✅
dtlpy 1.50–1.60 ❌ ❌ ❌ ❌ ❌ ✅ ✅ ✅

Development

To set up the development environment, clone the repository and install dependencies:

git clone https://github.com/dataloop-ai/dtlpy.git
cd dtlpy
pip install -r requirements.txt

Resources

Contribution Guidelines

We encourage contributions! Please ensure:

  • Clear and descriptive commit messages
  • Code follows existing formatting and conventions
  • Comprehensive tests for new features or bug fixes
  • Updates to documentation if relevant

Create pull requests for review. All contributions will be reviewed carefully and integrated accordingly.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for aharonDL from gravatar.com aharonDL Avatar for mohamedgalia from gravatar.com mohamedgalia Avatar for shabtay from gravatar.com shabtay
+1 more Avatar for ShadiMah from gravatar.com ShadiMah

Credits

Author: Dataloop Team

License

Apache License 2.0

Requires

Python >=3.9

Classifiers

Report project as malware

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