HoneyHive
honeyhive.aiAgent tracing, online evaluation, and alerts for monitoring production AI behavior.
Agent tracing, online evaluation, and alerts for monitoring production AI behavior.
Trace application transactions and service topology with agents that profile supported application runtimes.
Monitor website uptime, performance, certificates, and related site checks from one external service.
Map network devices and surface bandwidth, packet-loss, jitter, and connectivity issues with live alerts.
An SNMP-focused network monitor for device discovery, long-term metrics, graphs, and alerting.
Correlate application traces, metrics, logs, and service context to investigate performance.
Email preparation, rendering checks and ongoing monitoring in one current platform
A team time tracker with online timesheets, project records, and optional activity monitoring.
A Python web framework with project structure for building complete server-side applications.
An API for looking up and contributing ingredient, nutrition, and product details by barcode or search.
An open-source in-memory data-structure server for caching, queues, and key-value workloads.
Search dividend-focused company reports and compare research estimates
Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.
Monitor website availability and scripted customer journeys with external checks and alerts.
Build database reports with a Windows designer and publish through a .NET web server.
Collect WordPress visitor activity in your own database and extend it with Pro reports.
Personal budgets and transaction reports across Apple devices
Plan and optimize content alongside selected AI-search visibility monitoring.
Instrument LLMs, agents, vector databases, and frameworks with OpenTelemetry-native AI monitoring.
Enterprise platform for testing, monitoring and evaluating AI systems in production
Host a structured bug database with searchable reports, status histories, and charts.
Use managed Redis over HTTP or the Redis protocol, with request-based and fixed plans.
Run analytical SQL queries against column-oriented data in ClickHouse.
Define database models once and let business users explore them through visual SQL reports.