
Radicalbit AI Monitoring
Score6.9
Rank#8 of 20
PriceFree
Free planYes
Runs onAPI, Self-hosted, Web
Summary
Radicalbit AI Monitoring is ranked #8 of 20 in machine learning model monitoring software on Everything Xiaomi. It runs on API, Self-hosted, Web. There is a free plan.
Radicalbit AI Monitoring plans and pricing
All plansCompared on machine learning model monitoring software
- Free plan
- Yesradicalbit.ai
- Drift monitoring
- Yesradicalbit.ai
- Model performance metrics
- Yesradicalbit.ai
- Data quality checks
- Yesradicalbit.ai
- Deployment options
- self-hostedradicalbit.ai
Facts
- Purpose
- Radicalbit AI Monitoring monitors the effectiveness and reliability of production LLM and machine-learning models.radicalbit.ai · 1 Oct 2026
- Data quality
- It detects anomalies, missing values and outliers in numerical and categorical data and tracks metrics over time.radicalbit.ai · 1 Oct 2026
- Model metrics
- It provides metrics including Precision, Accuracy, Recall, F1, MSE, MAE, Perplexity and Probability for LLM, classification and regression models.radicalbit.ai · 1 Oct 2026
- Drift detection
- Drift detection includes Kolmogorov-Smirnov, PSI, Wasserstein, Jensen-Shannon, Chi-square, Kullback-Leibler and Hellinger algorithms.radicalbit.ai · 1 Oct 2026
- LLM tracing
- LLM application tracing records requests, prompts and tools and displays sessions, traces and spans with hierarchy, duration and metadata.radicalbit.ai · 1 Oct 2026
- Dataset comparison
- The platform analyzes reference and current datasets to evaluate data quality, model quality and model drift.docs.oss-monitoring.radicalbit.ai · 1 Oct 2026
- Documented scope
- The v1.4.0 documentation says the current scope focuses on binary and multiclass classification and regression models, with additional model types planned.docs.oss-monitoring.radicalbit.ai · 1 Oct 2026
- REST API
- The API exposes platform functionality through REST APIs and requires PostgreSQL, Kubernetes for Spark metric jobs and distributed storage.docs.oss-monitoring.radicalbit.ai · 1 Oct 2026
- User interface and SDK
- A web UI covers model creation through metric visualization, and a Python SDK implements the REST API functionality.docs.oss-monitoring.radicalbit.ai · 1 Oct 2026
- Deployment
- The repository provides Docker Compose installation for a local K3s-based deployment and supports MinIO or real AWS S3 storage.github.com · 1 Oct 2026
- Tracing integration
- LLM tracing uses OpenLLMetry, an OpenTelemetry collector and the Traceloop SDK.docs.oss-monitoring.radicalbit.ai · 1 Oct 2026
- Privacy
- The project collects anonymous usage data only, collects no personally identifiable information and asks users to opt in or out at first use.github.com · 1 Oct 2026
- Support
- The project directs users to a Discord community for help and discussion.github.com · 1 Oct 2026
- Maker
- Radicalbit is brought to market by Fortitude Group, an innovative technology holding company providing consulting, system integration and AI solutions.radicalbit.ai · 1 Oct 2026
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Sources
- radicalbit.ai/ai-monitoring-oss/· checked 1 Oct 2026
- docs.oss-monitoring.radicalbit.ai· checked 1 Oct 2026
- docs.oss-monitoring.radicalbit.ai/architecture/· checked 1 Oct 2026
- github.com/radicalbit/radicalbit-ai-monitoring· checked 1 Oct 2026
- docs.oss-monitoring.radicalbit.ai/quickstart/· checked 1 Oct 2026
- radicalbit.ai/about-us-radicalbit/· checked 1 Oct 2026





