en-core-web-sm-vbspacy

v3.8.0

Spacy model uploaded to PyPi. All credits go to the original devs. For more information about how to use this package see README

Latest version published 2 months ago

License: MIT

PyPI

GitHub

Package Health Score

64 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

Popularity

Limited

GitHub Stars: 96
Forks: 37
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package en-core-web-sm-vbspacy, we found that it has been starred 96 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 1, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 4
Open PR: 0
Last Release: 2 months ago
Last Commit: 4 months ago

Further analysis of the maintenance status of en-core-web-sm-vbspacy based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that en-core-web-sm-vbspacy demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like en-core-web-sm-vbspacy is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 2 months
Latest Release: 2 months ago
Dependencies: 0 Direct
Versions: 1
Maintainers: 1
Wheels: OS Independent

Readme

Spacy model uploaded to PyPi. All credits go to the original devs.

English pipeline optimized for CPU.

Components:

tok2vec
tagger
parser
senter
ner
attribute_ruler
lemmatizer.

Feature	Description
Name	`en_core_web_sm_vbspacy`
Version	`3.8.0`
spaCy	`>=3.7.5,<3.9.0`
Default Pipeline	`tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner`
Components	`tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston) ClearNLP Constituent-to-Dependency Conversion (Emory University) WordNet 3.0 (Princeton University)
License	`MIT`
Author	Explosion

Label Scheme

View label scheme (113 labels for 3 components)

Component	Labels
`tagger`	`$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, `_SP`, ````
`parser`	`ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp`
`ner`	`CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART`

Accuracy

Type	Score
`TOKEN_ACC`	99.86
`TOKEN_P`	99.57
`TOKEN_R`	99.58
`TOKEN_F`	99.57
`TAG_ACC`	97.29
`SENTS_P`	92.01
`SENTS_R`	89.39
`SENTS_F`	90.68
`DEP_UAS`	91.77
`DEP_LAS`	89.92
`ENTS_P`	84.30
`ENTS_R`	84.36
`ENTS_F`	84.33

FAQs

What is en-core-web-sm-vbspacy?

Spacy model uploaded to PyPi. All credits go to the original devs. Visit Snyk Advisor to see a full health score report for en-core-web-sm-vbspacy, including popularity, security, maintenance & community analysis.

Is en-core-web-sm-vbspacy popular?

We’re still processing downloads data for the python package en-core-web-sm-vbspacy. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is en-core-web-sm-vbspacy well maintained?

We found that en-core-web-sm-vbspacy demonstrated a healthy version release cadence and project activity. It has a community of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is en-core-web-sm-vbspacy safe to use?

The python package en-core-web-sm-vbspacy was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 November-2024, at 13:09 (UTC).

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