Home/Evaluation & Observability/radicalbit-ai-monitoring
radicalbit-ai-monitoring logo

radicalbit-ai-monitoring

Enrichment pending
radicalbit/radicalbit-ai-monitoring

A comprehensive solution for monitoring your AI models in production

GraphCanon updated today · GitHub synced today

83 stars11 forksLast push 4w Python Apache-2.0

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (29d since push)
As of today
Provenance
Not a fork · Organization account
As of today
Security (OSV)
No lockfile
As of today

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install radicalbit-ai-monitoring
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A comprehensive solution for monitoring your AI models in production

Capability facts

Languages
python

Source: github.language · Jul 15, 2026

Categories

Tags

README

🚀 Installation using Docker compose

This repository provides a Docker Compose file for running the platform locally with a K3s cluster. This setup allows you to deploy Spark jobs.

To run, simply:

docker compose up

If the UI is needed:

docker compose --profile ui up

In order to initialize the platform with demo models you can run:

docker compose --profile ui --profile init-data up

Once all containers are up & running, you can go to http://localhost:5173 to play with the app.

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.