Rerun records 54,018 monthly visits with -23.7% month-over-month growth and Free pricing. WatchTower records 2,216 monthly visits with +12% growth and Free, Open Source pricing.
The open-source data layer for robotics and physical AI
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
| Dimension / Metric | | |
|---|---|---|
| Official Domain | rerun.io | watch-tower.co |
| Pricing Model | Free | Free, Open Source |
| Monthly Visits | 54.02K (54,018) | 2.22K (2,216) |
| MoM Traffic Delta | -16.78K (-23.7%) | +238 (+12%) |
| Primary Market & Share | 🇺🇸 United States (33.9%) | 🇮🇳 India (38.8%) |
| Direct Visits / mo | 24.88K | 867 |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
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.
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
Connect with an AWS access key and secret key, then browse and monitor the DynamoDB tables in your account.
Pick a table and date range to generate clear graphs of provisioned versus consumed capacity, so you can judge whether provisioning is right-sized.
A one-click AI panel uses Amazon Bedrock (Mistral 7B Instruct by default) to turn raw capacity data into written insights and provisioning recommendations.
Optionally save generated analyses and metrics to a DynamoDB table in your own account, then regenerate graphs later to compare trends over time.
Unified observability, security and incident response for cloud-scale engineering teams
Unified 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-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.
Free / Open-sourceFree real-time analytics for open source projects on GitHub
Free / Open-sourceFree real-time analytics for open source projects on GitHub
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
GitHub-native analytics for developer experience and team performance
GitHub-native analytics for developer experience and team performance
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
