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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.

DHTMLX Chatbot logo
DHTMLX Chatbot
✓ verifiedFree

Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.

92K visits/mo
Airbyte logo
Airbyte
✓ verifiedFreemium

Open-source data-movement platform now adding a context/action layer for AI agents; 600+ connectors and flexible pricing.

222K visits/mo
Lovable logo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

35M visits/mo69K saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing

No public pricing

Agents Free: $0/mo (1000 AOs)
Agents Individual: $29/mo (5000 AOs)
Agents Team: $299/mo (10,000 AOs)
Data Standard: from $10/mo
Data Plus: from $500/mo

No public pricing

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • MIT-licensed and free to use
  • Lightweight (~65kb) JavaScript widget
  • 4 message display modes plus typewriter effect
  • Markdown support and chat history
  • Backend hook to integrate any LLM
  • Responsive, mobile-friendly, read-only mode
  • 600+ data connectors
  • ELT replication and CDC
  • Open-source and managed cloud options
  • Airbyte Agents context store (MCP/SDK/CLI)
  • Capacity- and volume-based pricing
  • Governance: SSO, RBAC, encryption
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Adding an AI chat UI to web apps
  • Building LLM-powered support agents
  • Embedding chat widgets in existing products
  • Prototyping chatbot interfaces
  • Building data pipelines to warehouses
  • Syncing SaaS data for analytics
  • Giving AI agents live business context
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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