SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
PromptLayer records 85,899 monthly visits with -4.6% month-over-month growth and Free Trial, Contact for Pricing pricing. Rerun records 54,018 monthly visits with -23.7% growth and Free pricing.

The open-source data layer for robotics and physical AI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | promptlayer.com | rerun.io |
| Pricing Model | Free Trial, Contact for Pricing | Free |
| Monthly Visits | 85.9K (85,899) | 54.02K (54,018) |
| MoM Traffic Delta | -4.18K (-4.6%) | -16.78K (-23.7%) |
| Primary Market & Share | 🇺🇸 United States (10.9%) | 🇺🇸 United States (33.9%) |
| Direct Visits / mo | 14.09K | 24.88K |
| User Rating | 4.5 | 4.6 |
| Supported Platforms | Website | Website |

The collaboration layer for AI engineering teams
Edit, version, diff and roll back prompts from a visual dashboard with no coding, so product, marketing and content teams can iterate on prompts while engineers keep control of the deploy.
Run dataset-backed tests with human and AI graders, trigger regression evals whenever a prompt changes, backtest new versions against historical data and compare prompts across models.
Connect production traces to the exact prompt version that produced them and inspect failures, cost, latency and token usage by feature, model or user.
Build, trace and improve agent workflows with prompts, tool calls, evaluations and logs in one place, so multi-step runs can be tested before they ship.

The open-source data layer for robotics and physical AI
Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
Add derived columns and evolve schemas without breaking history, on the edge or near the data.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows
Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistThe multimodal data layer for computer vision and physical AI teams
SpecialistThe multimodal data layer for computer vision and physical AI teams

Free / Open-sourceLabel any data. Evaluate any AI.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceFind where your physical AI models fail, then fix the data.
Free / Open-sourceFind where your physical AI models fail, then fix the data.

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
A multiplayer control plane for AI coding agents
A multiplayer control plane for AI coding agents
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises