litsense-wrapper


Namelitsense-wrapper JSON
Version 0.1.1 PyPI version JSON
download
home_pageNone
SummaryLightweight Python wrapper for the NCBI LitSense2 API
upload_time2025-08-11 08:37:40
maintainerNone
docs_urlNone
authorDinh Long Huynh
requires_python>=3.9
licenseNone
keywords litsense ncbi biomedical nlp api
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ### LitSense-Wrapper

Python wrapper for the NCBI LitSense2 API. LitSense2 (an update of LitSense) is a NCBI/NLM system for sentence- and paragraph-level semantic search across PubMed abstracts and the PMC Open Access subset, returning the most relevant sentences or passages for a query. It is useful for rapid evidence attribution, biocuration, and comparing new findings with existing literature. Learn more on the [NCBI LitSense2 page](https://www.ncbi.nlm.nih.gov/research/litsense2/).

#### Installation

```bash
pip install litsense-wrapper
```

#### Usage

```python
from litsense_wrapper import LitSense_API

engine = LitSense_API()
results = engine.retrieve(query_str='COVID-19 mechanism', limit=2)

for result in results:
    print(result.text)
```

#### Notes
- Modes supported: `passages` (default) and `sentences`.
- Optional `min_score` to filters results based on similarity scores


            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "litsense-wrapper",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "litsense, ncbi, biomedical, nlp, api",
    "author": "Dinh Long Huynh",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/54/e9/37aa24b4baecf2a062b467ebfd965a8b46f1139b8a24aaa22139bf9ba800/litsense_wrapper-0.1.1.tar.gz",
    "platform": null,
    "description": "### LitSense-Wrapper\n\nPython wrapper for the NCBI LitSense2 API. LitSense2 (an update of LitSense) is a NCBI/NLM system for sentence- and paragraph-level semantic search across PubMed abstracts and the PMC Open Access subset, returning the most relevant sentences or passages for a query. It is useful for rapid evidence attribution, biocuration, and comparing new findings with existing literature. Learn more on the [NCBI LitSense2 page](https://www.ncbi.nlm.nih.gov/research/litsense2/).\n\n#### Installation\n\n```bash\npip install litsense-wrapper\n```\n\n#### Usage\n\n```python\nfrom litsense_wrapper import LitSense_API\n\nengine = LitSense_API()\nresults = engine.retrieve(query_str='COVID-19 mechanism', limit=2)\n\nfor result in results:\n    print(result.text)\n```\n\n#### Notes\n- Modes supported: `passages` (default) and `sentences`.\n- Optional `min_score` to filters results based on similarity scores\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Lightweight Python wrapper for the NCBI LitSense2 API",
    "version": "0.1.1",
    "project_urls": {
        "Documentation": "https://www.ncbi.nlm.nih.gov/research/litsense2/",
        "Homepage": "https://github.com/DinhLongHuynh/LitSense_Wrapper",
        "Issues": "https://github.com/DinhLongHuynh/LitSense_Wrapper/issues",
        "Repository": "https://github.com/DinhLongHuynh/LitSense_Wrapper"
    },
    "split_keywords": [
        "litsense",
        " ncbi",
        " biomedical",
        " nlp",
        " api"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "932c842e3aa0ceb9835c3425446bb7470f7e6d3819386f652065cf0f325f0fa7",
                "md5": "9e70cdf3663dd3b74b66a4ec1c7ac92c",
                "sha256": "7a17421ef9e42d6c17f69d403e3249438bfe673bd58ec116fae44b15ec934170"
            },
            "downloads": -1,
            "filename": "litsense_wrapper-0.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "9e70cdf3663dd3b74b66a4ec1c7ac92c",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 4278,
            "upload_time": "2025-08-11T08:37:39",
            "upload_time_iso_8601": "2025-08-11T08:37:39.102007Z",
            "url": "https://files.pythonhosted.org/packages/93/2c/842e3aa0ceb9835c3425446bb7470f7e6d3819386f652065cf0f325f0fa7/litsense_wrapper-0.1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "54e937aa24b4baecf2a062b467ebfd965a8b46f1139b8a24aaa22139bf9ba800",
                "md5": "f08fa3b9286d16cd6940594eb0b1e297",
                "sha256": "7c609bb58e3ac2223354d3bdc7f82d255cb143fe7bf62a1fe7d8482a2f4deb49"
            },
            "downloads": -1,
            "filename": "litsense_wrapper-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "f08fa3b9286d16cd6940594eb0b1e297",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 3996,
            "upload_time": "2025-08-11T08:37:40",
            "upload_time_iso_8601": "2025-08-11T08:37:40.732308Z",
            "url": "https://files.pythonhosted.org/packages/54/e9/37aa24b4baecf2a062b467ebfd965a8b46f1139b8a24aaa22139bf9ba800/litsense_wrapper-0.1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-08-11 08:37:40",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "DinhLongHuynh",
    "github_project": "LitSense_Wrapper",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "litsense-wrapper"
}
        
Elapsed time: 1.28251s