This package serves to provide visualizations from your NLP data.
This package was inspired by the work of NeptuneAI and this blog post: https://neptune.ai/blog/exploratory-data-analysis-natural-language-processing-tools
This repository contains the Vizzy package and some sample notebooks to help you get started using Vizzy.
To install this package, you can use pip install
pip install vizzy
This is the history file of my package.
1/20/23: Updated setup.py to fix missing modules issue
1/20/23: Updated vizzy package to fix functions
2/1/23: Added new functions and object classes
2/6/23: Added new functions to Vizzy Doc module
2/7/23: Added new functions to Vizzy Token module
2/10/23: Added documentation and simplified functions
2/15/23: Added functions
2/21/23: Updated package
1 maintainer
Metadata
1 maintainer
Release files for vizzy 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| vizzy-0.3.0.tar.gz | 10.8 kB | Without provenance | Details for vizzy-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| vizzy-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for vizzy-0.3.0-py3-none-any.whl |
Total release size: 21.2 kB
Release files / vizzy-0.3.0.tar.gz
| Download URL | vizzy-0.3.0.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
48bbe34886ff5903b902f98908107a42a73ec3f15be3b262f1e94613344ddcd2
|
|
BLAKE2b-256 checksum How to use checksums |
f71fe66b3db28d96b23bb810c38f9ce692781d68db5c6735bf0c3618d7e1ccdc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
|
Release files / vizzy-0.3.0-py3-none-any.whl
| Download URL | vizzy-0.3.0-py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eb98325af62f28c216717810d0890a6796eaf1132a1a69588db571de86edc33a
|
|
BLAKE2b-256 checksum How to use checksums |
698ed44fd6ca208dd38dfb864cdc13addeec13ae8c15ef2f438a241ade94e087
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
|
Security for vizzy 0.3.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
