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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

⇄ Comparison dimension — pick the market you're actually shopping in

ApX Machine Learning logo
ApX Machine Learning
✓ verifiedFreemium

Tools, model specs and courses for LLM engineers-VRAM calculator, benchmarks and model directory-with free and paid tiers.

355K visits/mo
Arize AI logo
Arize AI
✓ verifiedFreemium

AI observability and evaluation platform to trace, evaluate and improve LLM agents in production, with an open-source Phoenix core.

248K visits/mo
Gamma AI logo
Gamma AI
✓ verifiedPaid

Cloud DLP and CASB that classifies and protects sensitive data across SaaS apps using deep learning (now Palo Alto Networks).

168K visits/mo
Aikido Security logo
Aikido Security
✓ verifiedFreemium

Developer-first security platform unifying code, cloud, runtime and AI pentesting with noise reduction and autofix.

670K visits/mo
Pricing
Basic: $0/mo (free forever)
Pro: $19/mo
Pro+: $59/mo
AX Free: $0/mo (25k spans/mo)
AX Pro: $50/mo (50k spans/mo)

No public pricing

Developer: $0 (2 users, 10 repos)
Basic: $300/mo (10 users, 100 repos)
Pro: $600/mo (200 repos)
Standard Pentest: $4,000 per assessment

Free trial available

Core features
  • VRAM/GPU-memory calculator for LLMs
  • LLM performance rankings and benchmarks
  • Model directory and comparison
  • AI/ML courses and learning roadmap
  • Calculator API and exportable cost reports
  • Engineering blog and guides
  • Agent and LLM tracing
  • Large-scale evaluations
  • Open-source Phoenix observability
  • Alyx AI engineering agent
  • OpenTelemetry-based instrumentation
  • Experiments and prompt playgrounds
  • Deep-learning data classification (99.5% claimed accuracy)
  • Cloud DLP across SaaS applications
  • One-click deployment across apps, devices and users
  • End-user self-remediation of violations
  • Broad SaaS integrations
  • Insider-threat and breach monitoring
  • SAST, SCA and secrets scanning
  • Cloud misconfiguration (CSPM) and container scanning
  • AI-powered autonomous pentesting
  • AutoFix pull requests and auto-triage
  • Runtime and bot protection (Zen)
  • SOC 2 and ISO compliance support
Use cases
  • Estimating GPU memory before training or inference
  • Comparing and selecting LLMs
  • Learning ML and LLM engineering
  • Modeling production deployment costs
  • Debugging AI agents in production
  • Measuring LLM output quality
  • Catching regressions before deploy
  • Prevent data leaks across SaaS apps
  • Classify and monitor sensitive data
  • Reduce breaches from human error
  • Give security teams cloud data visibility
  • Finding and fixing code vulnerabilities
  • Securing cloud and containers
  • Running continuous pentests
  • Automating compliance evidence
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