async-graph-data-flow


Nameasync-graph-data-flow JSON
Version 1.3.0 PyPI version JSON
download
home_page
SummaryAsynchronous functions that pass data along a directed acyclic graph
upload_time2023-06-22 16:55:21
maintainer
docs_urlNone
author
requires_python>=3.10
licenseBSD 3-Clause
keywords async asynchronous asyncio data flow graph
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # async-graph-data-flow

[![PyPI version](https://badge.fury.io/py/async-graph-data-flow.svg)](https://pypi.org/project/async-graph-data-flow/)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/async-graph-data-flow.svg)](https://pypi.org/project/async-graph-data-flow/)
[![CircleCI Builds](https://circleci.com/gh/civisanalytics/async-graph-data-flow.svg?style=shield)](https://circleci.com/gh/civisanalytics/async-graph-data-flow)

## Full Documentation

Please visit https://civisanalytics.github.io/async-graph-data-flow

Please also check out this
[blog post](https://www.civisanalytics.com/blog/open-source-software-release-introducing-async-graph-data-flow-a-python-library-for-efficient-data-pipelines/)
introducing this package.

## License

BSD 3-Clause License. Please see `LICENSE.txt` in the GitHub source code for details.

## Setting up a Development Environment

The latest code under development is available on GitHub at
https://github.com/civisanalytics/async-graph-data-flow.
To obtain this version for experimental features or for development:

```bash
git clone https://github.com/civisanalytics/async-graph-data-flow.git
cd async-graph-data-flow
pip install -e ".[dev]"
```

To run tests and styling checks:

```bash
pytest
flake8 src tests examples
black --check src tests examples
```

## For Maintainers

To update the Sphinx documentation,
the source files that need editing are under `docs/source/`;
everything else under `docs/` is auto-generated.
After the manual updates under `docs/source/` are ready,
the HTML pages are updated as follows:

```bash
rm -r docs/_sources docs/_static && rm docs/*.html

# Run the following command *twice* -- certain HTML updates only show up after multiple `sphinx-build` runs.
sphinx-build docs/source docs
```

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "async-graph-data-flow",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": "",
    "keywords": "async,asynchronous,asyncio,data flow,graph",
    "author": "",
    "author_email": "Civis Analytics <opensource@civisanalytics.com>",
    "download_url": "https://files.pythonhosted.org/packages/6b/a0/7286fa0b6f69bf05a12e57c09b8c96fc46e7f97d7686ac27cf957897986d/async-graph-data-flow-1.3.0.tar.gz",
    "platform": null,
    "description": "# async-graph-data-flow\n\n[![PyPI version](https://badge.fury.io/py/async-graph-data-flow.svg)](https://pypi.org/project/async-graph-data-flow/)\n[![Supported Python versions](https://img.shields.io/pypi/pyversions/async-graph-data-flow.svg)](https://pypi.org/project/async-graph-data-flow/)\n[![CircleCI Builds](https://circleci.com/gh/civisanalytics/async-graph-data-flow.svg?style=shield)](https://circleci.com/gh/civisanalytics/async-graph-data-flow)\n\n## Full Documentation\n\nPlease visit https://civisanalytics.github.io/async-graph-data-flow\n\nPlease also check out this\n[blog post](https://www.civisanalytics.com/blog/open-source-software-release-introducing-async-graph-data-flow-a-python-library-for-efficient-data-pipelines/)\nintroducing this package.\n\n## License\n\nBSD 3-Clause License. Please see `LICENSE.txt` in the GitHub source code for details.\n\n## Setting up a Development Environment\n\nThe latest code under development is available on GitHub at\nhttps://github.com/civisanalytics/async-graph-data-flow.\nTo obtain this version for experimental features or for development:\n\n```bash\ngit clone https://github.com/civisanalytics/async-graph-data-flow.git\ncd async-graph-data-flow\npip install -e \".[dev]\"\n```\n\nTo run tests and styling checks:\n\n```bash\npytest\nflake8 src tests examples\nblack --check src tests examples\n```\n\n## For Maintainers\n\nTo update the Sphinx documentation,\nthe source files that need editing are under `docs/source/`;\neverything else under `docs/` is auto-generated.\nAfter the manual updates under `docs/source/` are ready,\nthe HTML pages are updated as follows:\n\n```bash\nrm -r docs/_sources docs/_static && rm docs/*.html\n\n# Run the following command *twice* -- certain HTML updates only show up after multiple `sphinx-build` runs.\nsphinx-build docs/source docs\n```\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause",
    "summary": "Asynchronous functions that pass data along a directed acyclic graph",
    "version": "1.3.0",
    "project_urls": {
        "Source": "https://github.com/civisanalytics/async-graph-data-flow"
    },
    "split_keywords": [
        "async",
        "asynchronous",
        "asyncio",
        "data flow",
        "graph"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4f70a7cfd3b540f5b1dae8e450cbd538af35098d8cb938424d3cdd011cda8f2d",
                "md5": "76a42f0c6576d108b13386260e62cde0",
                "sha256": "a830c88d3ca35cdfc4191dfcfc221d73e72ed90f9ffab2086893ed0312db7b6d"
            },
            "downloads": -1,
            "filename": "async_graph_data_flow-1.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "76a42f0c6576d108b13386260e62cde0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 10179,
            "upload_time": "2023-06-22T16:54:35",
            "upload_time_iso_8601": "2023-06-22T16:54:35.492578Z",
            "url": "https://files.pythonhosted.org/packages/4f/70/a7cfd3b540f5b1dae8e450cbd538af35098d8cb938424d3cdd011cda8f2d/async_graph_data_flow-1.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6ba07286fa0b6f69bf05a12e57c09b8c96fc46e7f97d7686ac27cf957897986d",
                "md5": "b2f43d54af8f612a399f145ddcd2fac6",
                "sha256": "f845ce167164ca4adf2b68eecc193dc197a4e1d494593646aca8c0e62d01d4b0"
            },
            "downloads": -1,
            "filename": "async-graph-data-flow-1.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "b2f43d54af8f612a399f145ddcd2fac6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 13413,
            "upload_time": "2023-06-22T16:55:21",
            "upload_time_iso_8601": "2023-06-22T16:55:21.420214Z",
            "url": "https://files.pythonhosted.org/packages/6b/a0/7286fa0b6f69bf05a12e57c09b8c96fc46e7f97d7686ac27cf957897986d/async-graph-data-flow-1.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-22 16:55:21",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "civisanalytics",
    "github_project": "async-graph-data-flow",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "circle": true,
    "lcname": "async-graph-data-flow"
}
        
Elapsed time: 0.08259s