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hyperopt.dev vs WeaveScope

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

hyperopt.dev compared with WeaveScope
Detailhyperopt.dev logo hyperopt.devWeaveScope logo WeaveScope
What it doesAutoML that just works. Keep training local. AI agent observability for Elixir
StageMVP MVP
FoundedNot given 2026
Based inNot given Not given
Pricing modelFree trial Freemium
PricingFree beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment. Free: €0/month with 100,000 accepted events/month, 100 MB/hour, 14 days retention, 1 project, 2 users. Pro: €29/month with 1,000,000 accepted events/month, 2.5 GB/hour, 30 days retention, unlimited projects and users. Scale: €99/month with 10,000,000 accepted events/month, 5 GB/hour, 90 days retenti
Key features
  • Python SDK for tuning suggestions
  • Local model training with remote suggestions
  • Supports classification and regression
  • Included CPU demo workloads
  • Efficient observation budget allocation
  • Model ranking and selection
  • Reference scheduler implementations
  • HTTPS secure communication
  • Model and tool call tracing in unified timeline
  • Inspect failed steps with inputs and outputs
  • Monitor throughput, latency, errors, tokens, and cost
  • Single Elixir dependency for instrumentation
  • Configurable event filters and analytics
  • Shared team visibility across agent runs
  • Real-time observation of agent execution
  • Configurable data retention by plan
What makes it different
  • Trains locally, not on the service—your models and data stay on your computer
  • Efficient tuning using only half the observation budget of full training
  • Outperforms reference schedulers in benchmarks on diverse datasets
  • Free beta with no billing or account costs
  • Purpose-built for Elixir and BEAM applications
  • Unified view of model and tool calls with context
  • Minimal setup with one dependency and endpoint configuration
  • Alerting built on existing tracing and monitoring data
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)32
Citation Flow (Majestic)138
Referring domains (Majestic)235

6 details filled in for both companies.

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