Bavisitter: Babysitting LLMs for Visualization
import os
from bavisitter import Bavisitter
os.environ["OPENAI_API_KEY"] = "sk-"
# If you are using different LLMs (e.g., Claude, Gemini) use different api keys.
bavisitter = Bavisitter(df, model="gpt-4-turbo-preview", color_mode="dark")
bavisitter
Development
Install pnpm and Hatch to set up the development environment.
git clone https://github.com/jiwnchoi/bavisitter.git && cd bavisitter
pnpm install
hatch shell
pnpm dev
1 maintainer
Metadata
1 maintainer
Release files for bavisitter 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bavisitter-0.0.4.tar.gz | 5.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bavisitter-0.0.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 11.5 MB
Release files / bavisitter-0.0.4.tar.gz
| Download URL | bavisitter-0.0.4.tar.gz |
|---|---|
| Size | 5.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.27.0
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Release files / bavisitter-0.0.4-py2.py3-none-any.whl
| Download URL | bavisitter-0.0.4-py2.py3-none-any.whl |
|---|---|
| Size | 5.8 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.27.0
|
