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claudedashbord
A lightweight, dependency-free toolkit for building and monitoring AI/ML dashboards — metric rendering, run identifiers, terminal gauges, and signed channel tokens for the dashboard runtime.
Install
pip install claudedashbord
CLI
claudedashbord run-id # sortable run id
claudedashbord metrics '{"loss":0.0321,"acc":0.98}'
claudedashbord gauge 0.98 1.0
claudedashbord token "hello" # sign a channel token
claudedashbord verify "<token>"
Library
from claudedashbord import format_metrics, run_id, gauge, summarize
print(run_id())
print(format_metrics({"loss": 0.0321, "acc": 0.98}))
print(gauge(0.98, 1.0))
License
MIT
1 maintainer
Release files for claudedashbord 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| claudedashbord-0.1.3.tar.gz | 12.5 kB | Details |
Release files / claudedashbord-0.1.3.tar.gz
| Download URL | claudedashbord-0.1.3.tar.gz |
|---|---|
| Size | 12.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0df96d2c6ec54d2f9d45b9bad705b99108fc1d5f5de0bf1baf5c3ba9c975fe2f
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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