Metadata-Version: 1.2
Name: datagym
Version: 0.3.0
Summary: Datagym Python API Wrapper
Home-page: https://www.datagym.ai/
Author: Johannes Pflugmacher
Author-email: support@datagym.ai
License: BSD license
Description: ==================
        DataGym Python API
        ==================
        
        Python API Wrapper for DataGym (https://www.datagym.ai) - the AI-assisted image annotation tool.
        You can easily access your Projects, Datasets, Images and labeled data
        from the DATAGYM backend through this package.
        
        DATAGYM enables data scientists and machine learning experts to label images up to 10x faster.
        AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products.
        
        * Free software: BSD license
        * Documentation: https://docs.datagym.ai/documentation/python-api/
        * GitHub: https://github.com/datagym-ai/datagym-python
        
        
        Requirements
        ------------
        
        * **Python Version:** Python 3.6, 3.7, 3.8, or later
        
        * **DataGym Account:** If you haven't got a DataGym account yet, please SignUp_.
        
            .. _SignUp: https://www.datagym.ai/pricing/
        
        * **Initial Project:** `Setup your first Project`_ and/or label some images in your Dummy Project
        
            .. _`Setup your first Project`: https://docs.datagym.ai/documentation/getting-started
        
        * **API Token:** In order to access your Dummy Project via our Python API you need to `create an API Token`_
        
            .. _`create an API Token`: https://docs.datagym.ai/documentation/api-token/manage-api-token#create-tokens
        
        
        First Steps
        -----------
        
        Install the package via pip:
        
        .. code-block:: bash
        
            user@machine:~$ pip install datagym
        
        Create your first DATAGYM API Client:
        
        .. code-block:: python
        
            from datagym import Client
        
            client = Client(api_key="<YOUR_API_KEY>")
        
        
        
        Features
        --------
        
        * Fetch Project, Datasets, Images
        * Export labeled data from Projects
        * Import labeled data into Projects
        * Create Datasets
        * Add Datasets to Projects
        * Upload/Download images
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
