Colight
A Python library for creating interactive visualizations and widgets.
Installation
pip install colight
Usage
import colight as cl
import numpy as np
# Create data
x = np.linspace(0, 10, 100)
y = np.sin(x)
# Create visualization
cl.plot.line(x=x, y=y)
For more examples and documentation, visit the documentation site.
1 maintainer
Metadata
1 maintainer
Release files for colight 2025.7.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| colight-2025.7.8.tar.gz | 2.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| colight-2025.7.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 MB
Release files / colight-2025.7.8.tar.gz
| Download URL | colight-2025.7.8.tar.gz |
|---|---|
| Size | 2.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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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 |
uv/0.8.3
|
Release files / colight-2025.7.8-py3-none-any.whl
| Download URL | colight-2025.7.8-py3-none-any.whl |
|---|---|
| Size | 2.3 MB |
| Tags | 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 |
uv/0.8.3
|
