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Market/Categories/Developer & AI Platform/OpenLIT

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

OpenLITopenlit.io

OpenLIT is an open-source observability platform designed to streamline AI development workflows, particularly for Generative AI and LLMs, offering features like prompt management, performance tracking, and secure secrets management.

Developer & AI Platformopenlit.ioTracked since 2026-08-211 discovery source
2KBacklinks
315Referring domains
25Domain authority
+17.9%Referring domains · 90 days

Authority & distribution

How strong is OpenLIT’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

2KCurrent snapshot

Referring domains

315Current snapshot

Authority

25Domain authority · category median 22

90-day move

+17.9%Referring domains, last 90 days
At 25, OpenLIT sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where OpenLIT ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending OpenLIT traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What OpenLIT is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“OpenLIT”

OpenLIT is an open-source observability platform designed to streamline AI development workflows, particularly for Generative AI and LLMs, offering features like prompt management, performance tracking, and secure secrets management.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://openlit.io

Observed across 1 discovery source.

Research questions

What the evidence answers about OpenLIT.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does OpenLIT do, and what problem does it solve?

OpenLIT is an open-source observability platform designed to streamline AI development workflows, particularly for Generative AI and LLMs. It helps solve problems related to tracing, evaluating, and managing LLM applications by offering features like prompt management, performance tracking, and secure secrets management.

What features and capabilities does OpenLIT offer?

OpenLIT offers features including LLM tracing with OpenTelemetry, LLM evaluation (with LLM-as-a-judge, heuristics, or human review), a Prompt Hub for prompt management and versioning, an OpenGround model comparison playground, AI agent monitoring, API key management via a Vault, and tools for tracking cost and latency.

How is OpenLIT priced or packaged?

OpenLIT is free to self-host under the Apache 2.0 license.

What is OpenLIT used for, and in what situations?

OpenLIT is used as a harness platform for AI engineering, covering stages from development to production. It is used for tracing LLM and AI agent calls, running evaluations, managing and versioning prompts, comparing models, and monitoring AI agent workflows and costs.

Who is OpenLIT for?

OpenLIT is for developers and engineers, particularly those working with LLMs, AI agents, and Generative AI applications. It is used by developers to instrument, develop, manage, observe, and improve AI workloads.

What is OpenLIT?

OpenLIT is an open-source observability platform designed for tracing, evaluating, and managing LLM and AI agent applications.

Behind the lock

Unlock full OpenLIT intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured