Raindrop records 42,807 monthly visits with -18.4% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Rerun records 54,018 monthly visits with -23.7% growth and Free pricing.
Find and fix problems in your AI agents before users do
The open-source data layer for robotics and physical AI
| Dimension / Metric | | |
|---|---|---|
| Official Domain | raindrop.ai | rerun.io |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Free |
| Monthly Visits | 42.81K (42,807) | 54.02K (54,018) |
| MoM Traffic Delta | -9.63K (-18.4%) | -16.78K (-23.7%) |
| Primary Market & Share | 🇺🇸 United States (77.1%) | 🇺🇸 United States (33.9%) |
| Direct Visits / mo | 23.55K | 24.88K |
| User Rating | 4.4 | 4.6 |
| Supported Platforms | Website | Website |
Find and fix problems in your AI agents before users do
See every message, tool call and decision in a run, with inputs, outputs and durations, so you can pinpoint where a run broke down.
Recurring failures are grouped into issues with severity, affected users, last-seen time and a confidence score, instead of scattered alerts.
An agent investigates issues and automates follow-up across Slack, the web app and MCP, so debugging happens where your team already works.
Run scenarios against a change on a pull request and compare results with real traffic to catch regressions before merge.
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
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.
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Automated QA, simulation and observability for voice and chat AI agents
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
