
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.

Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Gitlights records 0 monthly visits with -100% growth and Free Trial, Paid pricing.
See each developer's real contribution in the age of AI-generated code
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | arize.com | gitlights.com |
| Pricing Model | Paid, Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 249.03K (249,028) | 0 (0) |
| MoM Traffic Delta | +7.67K (+3.2%) |
| -1.38K (-100%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🌐 Global (—) |
|---|
| Direct Visits / mo | 107.84K | 0 |
|---|
| User Rating | 4.6 | 4 |
|---|
| 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.
See each developer's real contribution in the age of AI-generated code
Analyzes commits, pull requests, reviews and discussion to show the decisions and architectural impact behind each developer's work, not just output volume.
Visual views that compare contributors across dimensions so team leads can spot strengths, gaps and shifts in how each person is contributing.
Automatically generated summaries of repository and team activity, giving engineering managers a regular narrative they can share or act on.
Install from the GitHub Marketplace, choose which repositories to analyze, and data loads within minutes with daily automatic updates.

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.
#2
Free / Open-sourceFeatures strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams.

Free / Open-sourceFree real-time analytics for open source projects on GitHub


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.

Context-aware AI code reviews and a model router for coding 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

GitHub-native analytics for developer experience and team performance

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
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.
Free / Open-sourceFree real-time analytics for open source projects on GitHub
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.
Context-aware AI code reviews and a model router for coding 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
GitHub-native analytics for developer experience and team performance
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents