tigergraphx


Nametigergraphx JSON
Version 0.1.12 PyPI version JSON
download
home_pagehttps://github.com/xuanleilin/TigerGraphX
SummaryTigerGraphX is a high-level Python library offering a unified, Python-native interface for graph databases, advanced analytics, and GraphRAG workflows. Combining the simplicity of NetworkX with the advanced capabilities of TigerGraph, including tgCloud, it empowers Python developers to harness the power of graphs without the need to learn query languages like Cypher or GSQL.
upload_time2025-01-21 13:58:06
maintainerNone
docs_urlNone
authorXuanlei Lin
requires_python<3.13,>=3.10
licenseMIT
keywords tigergraph graph database graphrag machine learning graph analytics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # TigerGraphX

TigerGraphX is a high-level Python library offering a unified, Python-native interface for graph databases, advanced analytics, and **GraphRAG workflows**. Combining the simplicity of NetworkX with the advanced capabilities of TigerGraph, including tgCloud, TigerGraphX enables Python developers to leverage the power of graphs without needing to learn query languages like Cypher or GSQL.

## Documentation

📖 **[Explore the Full Documentation Here](https://xuanleilin.github.io/tigergraphx/)**

The documentation provides detailed guides, examples, and API references to help you get started with TigerGraphX and utilize its powerful features effectively.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/xuanleilin/TigerGraphX",
    "name": "tigergraphx",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<3.13,>=3.10",
    "maintainer_email": null,
    "keywords": "tigergraph, graph database, graphrag, machine learning, graph analytics",
    "author": "Xuanlei Lin",
    "author_email": "xuanlei.lin@tigergraph.com",
    "download_url": "https://files.pythonhosted.org/packages/fa/a9/16ccc5a0ac9e1af92662f7b2f9540d84da1da363b375c9dd35561b41f524/tigergraphx-0.1.12.tar.gz",
    "platform": null,
    "description": "# TigerGraphX\n\nTigerGraphX is a high-level Python library offering a unified, Python-native interface for graph databases, advanced analytics, and **GraphRAG workflows**. Combining the simplicity of NetworkX with the advanced capabilities of TigerGraph, including tgCloud, TigerGraphX enables Python developers to leverage the power of graphs without needing to learn query languages like Cypher or GSQL.\n\n## Documentation\n\n\ud83d\udcd6 **[Explore the Full Documentation Here](https://xuanleilin.github.io/tigergraphx/)**\n\nThe documentation provides detailed guides, examples, and API references to help you get started with TigerGraphX and utilize its powerful features effectively.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "TigerGraphX is a high-level Python library offering a unified, Python-native interface for graph databases, advanced analytics, and GraphRAG workflows. Combining the simplicity of NetworkX with the advanced capabilities of TigerGraph, including tgCloud, it empowers Python developers to harness the power of graphs without the need to learn query languages like Cypher or GSQL.",
    "version": "0.1.12",
    "project_urls": {
        "Homepage": "https://github.com/xuanleilin/TigerGraphX",
        "Repository": "https://github.com/xuanleilin/TigerGraphX"
    },
    "split_keywords": [
        "tigergraph",
        " graph database",
        " graphrag",
        " machine learning",
        " graph analytics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6e2b87a91cd5688b94814e21db6fcc1f7ef247e4a07851827823135796868464",
                "md5": "6df65959a7d510c03c412fe10e29b77c",
                "sha256": "6d8b9706038a3b54da53b635b13d846e5989d77e49f47ef60e31f26fb4250bea"
            },
            "downloads": -1,
            "filename": "tigergraphx-0.1.12-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "6df65959a7d510c03c412fe10e29b77c",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<3.13,>=3.10",
            "size": 191828,
            "upload_time": "2025-01-21T13:58:04",
            "upload_time_iso_8601": "2025-01-21T13:58:04.788009Z",
            "url": "https://files.pythonhosted.org/packages/6e/2b/87a91cd5688b94814e21db6fcc1f7ef247e4a07851827823135796868464/tigergraphx-0.1.12-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "faa916ccc5a0ac9e1af92662f7b2f9540d84da1da363b375c9dd35561b41f524",
                "md5": "88b5baf4daecc9f88e77f0d4b9f0dbe9",
                "sha256": "29be9058eda9e82f8c8b9177726147a4e55aca75f3585ce8588a944215e19f13"
            },
            "downloads": -1,
            "filename": "tigergraphx-0.1.12.tar.gz",
            "has_sig": false,
            "md5_digest": "88b5baf4daecc9f88e77f0d4b9f0dbe9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<3.13,>=3.10",
            "size": 119712,
            "upload_time": "2025-01-21T13:58:06",
            "upload_time_iso_8601": "2025-01-21T13:58:06.319583Z",
            "url": "https://files.pythonhosted.org/packages/fa/a9/16ccc5a0ac9e1af92662f7b2f9540d84da1da363b375c9dd35561b41f524/tigergraphx-0.1.12.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-21 13:58:06",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "xuanleilin",
    "github_project": "TigerGraphX",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "tigergraphx"
}
        
Elapsed time: 0.39559s