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Dagster logo
Dagster
✓ verifiedFreemium

Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.

152K visits/mo
Netify logo
Netify
✓ verifiedPaid

Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.

253K visits/mo
Frugal logo
Frugal
✓ verifiedFree trial

FinOps tool that maps cloud and AI spend to the code driving it and auto-generates cost-cutting pull requests.

9.7K visits/mo
StackGen logo
StackGen
✓ verifiedPaid

Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.

13K visits/mo
Pricing
Solo: $10/mo + $0.040/credit (1 user)
Starter: $100/mo + $0.035/credit (up to 3 users)

Free trial available

No public pricing

No public pricing

Free trial available

No public pricing

Core features
  • Asset-based pipeline orchestration
  • Built-in lineage and data-quality checks
  • Data catalog with asset metadata
  • Native dbt, Snowflake and Fivetran integrations
  • Branch deployments and hybrid deployment
  • Open-source core plus managed Dagster+ cloud
  • Local deep packet inspection agent
  • Application identification data feeds
  • VPN and Tor IP datasets
  • Network informatics and analytics
  • Developer documentation
  • Maps cloud costs to the code that drives them
  • Cost-impact review on every pull request
  • Frugalbot agents that generate cost-reducing PRs
  • Coverage of storage, logs, AI APIs, serverless and databases
  • GitHub and GitLab workflow integrations
  • Automated service discovery and dependency topology mapping
  • SLO-based alert triage and prioritization
  • AI-driven root cause analysis with pre-built workflows
  • Human-approved remediation with full audit trails
  • Works alongside existing tools like Datadog, Grafana, New Relic
  • Governance and policy enforcement layer for agent actions
Use cases
  • Orchestrate ETL/ELT and dbt pipelines
  • Monitor data health and lineage
  • Build AI/ML data pipelines
  • Run reliable, observable data platforms
  • Classify application traffic on a network
  • Detect VPN and Tor usage
  • Feed DPI data into security and analytics tools
  • Cut usage-based cloud and AI bills
  • Add cost reviews to the development workflow
  • Guide developers and AI agents to write cheaper code
  • Find savings that infrastructure right-sizing misses
  • SRE teams reducing mean-time-to-resolution during incidents
  • Platform engineers wanting policy-governed AI infrastructure management
  • Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
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