Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Fyxit AI (HubbleIQ) records 0 monthly visits with 0% growth and Contact for Pricing pricing.

School-district IT monitoring with an AI copilot called Rosie
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | arize.com | hubbleiq.com |
| Pricing Model | Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 249.03K (249,028) | 0 (0) |
| MoM Traffic Delta |
| +7.67K (+3.2%) |
| 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🌐 Global (—) |
|---|
| Direct Visits / mo | 107.84K | 0 |
|---|
| User Rating | 4.6 | 4.1 |
|---|
| Supported Platforms | Website | Website |
|---|

Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.

School-district IT monitoring with an AI copilot called Rosie
A single site map shows status per school building, so IT can spot which campus is degraded without digging through separate dashboards.
Monitors district Chromebook fleets at scale, flagging battery health decline and provisioning anomalies before refresh planning locks in.
Rosie answers natural-language questions about network health, offline buildings and week-over-week changes, and shows the evidence behind each answer.
Staff and students troubleshoot with Rosie using the district's own help documents, so evidence arrives with the ticket when IT is truly needed.
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams


Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
#2
Free / Open-sourceIncludes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring.
#3
Free / Open-sourceFeatures strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams.

Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.

Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.

Free / Open-sourceAI workforce analytics that turn monitoring data into productivity and cost decisions.

Decision infrastructure for governed enterprise AI agents

Free / Open-sourceAgent observability, evals and governance for AI platform teams

SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Free / Open-sourceIncludes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring.
Free / Open-sourceFeatures strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams.
Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.
Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.
Free / Open-sourceAI workforce analytics that turn monitoring data into productivity and cost decisions.
Decision infrastructure for governed enterprise AI agents
Free / Open-sourceAgent observability, evals and governance for AI platform teams
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents