Name | dataqa-extractor JSON |
Version |
0.1.3
JSON |
| download |
home_page | |
Summary | No-code data extractor |
upload_time | 2023-12-06 16:21:28 |
maintainer | |
docs_url | None |
author | Maria |
requires_python | >=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.* |
license | |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# DataQA extractor
Extract structured fields into a spreadsheet from unstructured text
<div align="center">
<img src="https://github.com/dataqa/extractor/blob/main/extractor.gif?raw=True" width="600" align="center"/>
</div>
## Usage
This package uses the OpenAI API, so you need a valid API key before you start.
Install the package with pip: `pip install dataqa-extractor`
Run it from the terminal: `dataqa-extract`
Raw data
{
"_id": null,
"home_page": "",
"name": "dataqa-extractor",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
"maintainer_email": "",
"keywords": "",
"author": "Maria",
"author_email": "maria@dataqa.ai",
"download_url": "https://files.pythonhosted.org/packages/65/6f/c6ae128508735b7bc1228e53ee226985cf8f182104ab18b154b9c366f41a/dataqa_extractor-0.1.3.tar.gz",
"platform": null,
"description": "# DataQA extractor\nExtract structured fields into a spreadsheet from unstructured text\n\n \n\n<div align=\"center\">\n <img src=\"https://github.com/dataqa/extractor/blob/main/extractor.gif?raw=True\" width=\"600\" align=\"center\"/>\n</div>\n\n \n\n## Usage\n\nThis package uses the OpenAI API, so you need a valid API key before you start.\n\nInstall the package with pip: `pip install dataqa-extractor`\n\nRun it from the terminal: `dataqa-extract`",
"bugtrack_url": null,
"license": "",
"summary": "No-code data extractor",
"version": "0.1.3",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "2dda0808f850bd3a4535bcc03f6c5c7590a8c72ab4bd465c83f973ed1b2788f6",
"md5": "bee1e5bb2268c72e6efbea5494ecebef",
"sha256": "cb36624335b989101ba4e6dd23dfa0f3498c45632a26258bb01f8371b87ad5a0"
},
"downloads": -1,
"filename": "dataqa_extractor-0.1.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "bee1e5bb2268c72e6efbea5494ecebef",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
"size": 4897,
"upload_time": "2023-12-06T16:21:27",
"upload_time_iso_8601": "2023-12-06T16:21:27.352097Z",
"url": "https://files.pythonhosted.org/packages/2d/da/0808f850bd3a4535bcc03f6c5c7590a8c72ab4bd465c83f973ed1b2788f6/dataqa_extractor-0.1.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "656fc6ae128508735b7bc1228e53ee226985cf8f182104ab18b154b9c366f41a",
"md5": "18a37ee62e031cea601b03771805e7dd",
"sha256": "d71377df9d8c224ee286c67bb01c55af2de4ee81f260f0c864c117da0d2d4320"
},
"downloads": -1,
"filename": "dataqa_extractor-0.1.3.tar.gz",
"has_sig": false,
"md5_digest": "18a37ee62e031cea601b03771805e7dd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*",
"size": 3667,
"upload_time": "2023-12-06T16:21:28",
"upload_time_iso_8601": "2023-12-06T16:21:28.485398Z",
"url": "https://files.pythonhosted.org/packages/65/6f/c6ae128508735b7bc1228e53ee226985cf8f182104ab18b154b9c366f41a/dataqa_extractor-0.1.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-12-06 16:21:28",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "dataqa-extractor"
}