johnsnowlabs

v5.5.0

The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and simple manner. Access 10000+ state-of-the-art NLP and OCR models for Finance, Legal and Medical domains. Easily scalable to Spark Cluster For more information about how to use this package see README

Latest version published 12 days ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

75 / 100

security
Security review needed
popularity
Recognized
maintenance
Healthy
community
Sustainable

Popularity

Recognized

GitHub Stars: 54
Forks: 26
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package johnsnowlabs, we found that it has been starred 54 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 23, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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2
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 13
Open PR: 25
Last Release: 12 days ago
Last Commit: 19 days ago

Further analysis of the maintenance status of johnsnowlabs based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that johnsnowlabs demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the johnsnowlabs repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.4.*, ==3.5.*, ==3.6.*

Age: 4 years
Latest Release: 12 days ago
Dependencies: 6 Direct / 49 Total
Versions: 162
Maintainers: 2
Wheels: OS Independent

Readme

John Snow Labs: State-of-the-art NLP in Python

The John Snow Labs library provides a simple & unified Python API for delivering enterprise-grade natural language processing solutions:

15,000+ free NLP models in 250+ languages in one line of code. Production-grade, Scalable, trainable, and 100% open-source.
Open-source libraries for Responsible AI (NLP Test), Explainable AI (NLP Display), and No-Code AI (NLP Lab).
1,000+ healthcare NLP models and 1,000+ legal & finance NLP models with a John Snow Labs license subscription.

Homepage: https://www.johnsnowlabs.com/

Docs & Demos: https://nlp.johnsnowlabs.com/

Features

🚀 Spark-NLP : State of the art NLP at scale!
🤖 NLU : 1 line of code to conquer NLP!
🕶 Visual NLP : Empower your NLP with a set of eyes!
💊 Healthcare NLP : Heal the world with NLP!
⚖ Legal NLP : Bring justice with NLP!
💲 Finance NLP : Understand Financial Markets with NLP!
🎨 NLP-Display Visualize and Explain NLP!
📊 NLP-Test : Deliver Reliable, Safe and Effective Models!
🔬 NLP-Lab : No-Code Tool to Annotate & Train new Models!

Installation

! pip install johnsnowlabs

from johnsnowlabs import nlp
nlp.load('emotion').predict('Wow that was easy!')

See the documentation for more details.

Usage

These are examples of getting things done with one line of code. See the General Concepts Documentation for building custom pipelines.

# Example of Named Entity Recognition
nlp.load('ner').predict("Dr. John Snow is an British physician born in 1813")

Returns :

entities	entities_class	entities_confidence
John Snow	PERSON	0.9746
British	NORP	0.9928
1813	DATE	0.5841

# Example of Question Answering 
nlp.load('answer_question').predict("What is the capital of Paris")

Returns :

text	answer
What is the capital of France	Paris

# Example of Sentiment classification
nlp.load('sentiment').predict("Well this was easy!")

Returns :

text	sentiment_class	sentiment_confidence
Well this was easy!	pos	0.999901

nlp.load('ner').viz('Bill goes to New York')

Returns:
ner_viz_opensource For a full overview see the 1-liners Reference and the Workshop.

Use Licensed Products

To use John Snow Labs' paid products like Healthcare NLP, [Visual NLP], [Legal NLP], or [Finance NLP], get a license key and then call nlp.install() to use it:

! pip install johnsnowlabs
# Install paid libraries via a browser login to connect to your account
from johnsnowlabs import nlp
nlp.install()
# Start a licensed session
nlp.start()
nlp.load('en.med_ner.oncology_wip').predict("Woman is on  chemotherapy, carboplatin 300 mg/m2.")

Usage

These are examples of getting things done with one line of code. See the General Concepts Documentation for building custom pipelines.

# visualize entity resolution ICD-10-CM codes 
nlp.load('en.resolve.icd10cm.augmented')
    .viz('Patient with history of prior tobacco use, nausea, nose bleeding and chronic renal insufficiency.')

returns:
ner_viz_opensource

# Temporal Relationship Extraction&amp;Visualization
nlp.load('relation.temporal_events')\
    .viz('The patient developed cancer after a mercury poisoning in 1999 ')

returns: relationv_viz

Helpful Resources

Take a look at the official Johnsnowlabs page page: https://nlp.johnsnowlabs.com for user documentation and examples

Resource	Description
General Concepts	General concepts in the Johnsnowlabs library
Overview of 1-liners	Most common used models and their results
Overview of 1-liners for healthcare	Most common used healthcare models and their results
Overview of all 1-liner Notebooks	100+ tutorials on how to use the 1 liners on text datasets for various problems and from various sources like Twitter, Chinese News, Crypto News Headlines, Airline Traffic communication, Product review classifier training,
Connect with us on Slack	Problems, questions or suggestions? We have a very active and helpful community of over 2000+ AI enthusiasts putting Johnsnowlabs products to good use
Discussion Forum	More indepth discussion with the community? Post a thread in our discussion Forum
Github Issues	Report a bug
Custom Installation	Custom installations, Air-Gap mode and other alternatives
The `nlp.load()` function	Load any model or pipeline in one line of code
The `nlp.load().predict(data)` function	Predict on `Strings`, `List of Strings`, `Numpy Arrays`, `Pandas`, `Modin` and `Spark Dataframes`
The `nlp.load().fit(data)` function	Train a text classifier for `2-Class`, `N-Classes` `Multi-N-Classes`, `Named-Entitiy-Recognition` or `Parts of Speech Tagging`
The `nlp.load().viz(data)` function	Visualize the results of `Word Embedding Similarity Matrix`, `Named Entity Recognizers`, `Dependency Trees & Parts of Speech`, `Entity Resolution`,`Entity Linking` or `Entity Status Assertion`
The `nlp.load().viz_streamlit(data)` function	Display an interactive GUI which lets you explore and test every model and feature in Johnsowlabs 1-liner repertoire in 1 click.

License

This library is licensed under the Apache 2.0 license. John Snow Labs' paid products are subject to this End User License Agreement.
By calling nlp.install() to add them to your environment, you agree to its terms and conditions.

johnsnowlabs dependencies

boto3 colorama databricks-api dataclasses numpy requests

FAQs

What is johnsnowlabs?

The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and... Visit Snyk Advisor to see a full health score report for johnsnowlabs, including popularity, security, maintenance & community analysis.

Is johnsnowlabs popular?

The python package johnsnowlabs receives a total of 11,061 weekly downloads. As such, johnsnowlabs popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is johnsnowlabs well maintained?

We found that johnsnowlabs demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is johnsnowlabs safe to use?

While scanning the latest version of johnsnowlabs, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 27 October-2024, at 05:32 (UTC).

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Readme

John Snow Labs: State-of-the-art NLP in Python

Features

Installation

Usage

Use Licensed Products

Usage

Helpful Resources

License

johnsnowlabs dependencies

FAQs

What is johnsnowlabs?

Is johnsnowlabs popular?

Is johnsnowlabs well maintained?

Is johnsnowlabs safe to use?

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Source Code

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