radicalbit-ai-monitoring
Comprehensive solution for AI model monitoring in production
GraphCanon updated Sep 10, 2026 · GitHub synced Sep 10, 2026
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Decision brief
radicalbit-ai-monitoring provides a Docker Compose-based platform for monitoring AI models in production with support for K3s and Spark job deployments.
Good fit when
- When you require a comprehensive solution that supports both machine learning observability and data drift detection deployed through Docker Compose setup.
- If your infrastructure is already set up to use K3s, this tool can seamlessly integrate into your existing environment for monitoring AI models.
Avoid when
- When your deployment does not support or plan to avoid using Docker Compose and K3s for running Spark jobs.
- In cases where a more specific solution is needed that focuses solely on one aspect of observability, rather than this comprehensive approach with AI model monitoring.
- Requirements:
- Requires Docker Compose for local deployment setup and K3s support to deploy Spark jobs.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (86d since push)
- As of Sep 10, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 10, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install radicalbit-ai-monitoring PyPISimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
radicalbit/radicalbit-ai-monitoring offers a platform to monitor and observe artificial intelligence models through a Docker Compose setup with support for K3s.
Capability facts
- Languages
- python
Source: github.language · Sep 10, 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: If the UI is needed: In order to initialize the platform with demo models you can r...
For agents
This page has a .md twin and JSON over the API.