NL4DV: Natural Language toolkit for Data Visualization
NL4DV takes a natural language query about a given dataset as input and outputs a structured JSON object containing:
- Data attributes,
- Analytic tasks, and
- Visualizations (Vega-Lite specifications)
With this output, developers can
- Create visualizations in Python using natural language, and/or
- Add a natural language interface to their existing visualization systems.
Setup Instructions, API Documentation, and Examples
These can all be found on NL4DV's project website.
Credits
NL4DV was created by Arpit Narechania, Arjun Srinivasan, and John Stasko of the Georgia Tech Visualization Lab.
We thank Rishab Mitra for helping build some of our debugger applications and members of the Georgia Tech Visualization Lab for their support and constructive feedback.
Citation
@article{narechaniaNL4DV2020,
title = {{NL4DV}: A {Toolkit} for Generating {Analytic Specifications} for {Data Visualization} from {Natural Language} Queries},
shorttitle = {{NL4DV}},
author = {{Narechania}, Arpit and {Srinivasan}, Arjun and {Stasko}, John},
journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},
doi = {10.1109/TVCG.2020.3030378},
year = {2020},
publisher = {IEEE}
}
License
The software is available under the MIT License.
Contact
If you have any questions, feel free to open an issue or contact Arpit Narechania.
1 maintainer
Metadata
1 maintainer
Release files for nl4dv 0.0.5
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 | |
|---|---|---|---|---|
| nl4dv-0.0.5.tar.gz | 36.2 kB | Without provenance | Details |
Release files / nl4dv-0.0.5.tar.gz
| Download URL | nl4dv-0.0.5.tar.gz |
|---|---|
| Size | 36.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2a1493f45baf0826bcaa4000cf9b22e720bf82d26771588bb1c15c4af68c632b
|
|
BLAKE2b-256 checksum How to use checksums |
c0ba93992cb472fce428202b2351997545c818a3ae40bc0e818fc307533d5e03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.3
|
Security for nl4dv 0.0.5
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.
