Staxly

LlamaIndex vs Plausible Analytics

Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. Privacy-first web analytics — cookieless, no GDPR/CCPA nightmare

LlamaIndex websitePlausible Analytics

Pricing tiers

LlamaIndex

OSS (MIT)
MIT-licensed core. Python + TypeScript. Free forever.
$0 base (usage-based)
LlamaCloud — Free
Free tier of LlamaCloud. 1,000 pages/day via LlamaParse. Basic indexing.
Free
LlamaCloud — Paid
Pay-per-page parsing + usage-based indexing. $0.003 per page (Fast mode).
$0 base (usage-based)
LlamaCloud Enterprise
Custom. SSO, SOC2, higher rate limits, private index hosting.
Custom
LlamaIndex website

Plausible Analytics

Self-Hosted (CE)
Community Edition — AGPL-licensed, run on your own infra.
$0 base (usage-based)
Starter
$9/month. 1 site. Basic dashboard, goals, 3-year data retention.
$9/mo
Growth
$14/month. 3 sites + 3 team members. Shared dashboards + team mgmt.
$14/mo
Business
$19/month. 10 sites + 10 members. Custom properties, API access, funnels, 5-year retention.
$19/mo
Enterprise
Custom. SSO, managed proxy, priority support.
Custom
Plausible Analytics

Free-tier quotas head-to-head

Comparing oss on LlamaIndex vs starter on Plausible Analytics.

MetricLlamaIndexPlausible Analytics
No overlapping quota metrics for these tiers.

Features

LlamaIndex · 16 features

  • AgentsAgent patterns: ReAct, function-calling, multi-agent workflows.
  • Document Readers200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
  • EvaluationsBuilt-in eval framework: faithfulness, context precision/recall.
  • LlamaCloudManaged indexing + retrieval platform. File connectors, auto-chunking, retrieval
  • LlamaExtractSchema-based structured extraction from unstructured docs.
  • LlamaHubCommunity marketplace of readers, tools, prompts.
  • LlamaParseBest-in-class PDF + complex document parser. Tables, math, layout preserved.
  • MultimodalImage + text models, image retrieval.
  • Node ParsersDocument chunkers: token, sentence, semantic, hierarchical.
  • Observability (OpenLLMetry)OTel-based tracing baked in.
  • Property GraphGraph-based RAG (knowledge graphs from unstructured data).
  • Query EnginesRetrieval + response synthesis combos — router, sub-question, tree, etc.
  • RAGEnd-to-end RAG patterns: ingest → index → retrieve → synthesize.
  • Tools50+ pre-built tool integrations.
  • Vector Store Integrations50+ vector DB integrations.
  • WorkflowsEvent-driven agent workflows (AgentWorkflow).

Plausible Analytics · 16 features

  • 404 Error TrackingAuto-detect 404 pages.
  • Custom PropertiesAttach arbitrary properties to events (Business+).
  • Email/Slack ReportsWeekly + monthly reports to email/Slack.
  • File Download TrackingTrack PDF/DOC/ZIP downloads.
  • FunnelsMulti-step funnel analysis (Business+).
  • Goals & ConversionsTrack custom events + pageview-based goals.
  • Import from Google AnalyticsImport historical GA data via script.
  • Managed Proxy (Ent)Proxy plausible.io through your domain to bypass ad-blockers.
  • Outbound Link TrackingOne-line extension to track outbound clicks.
  • Revenue GoalsTrack $ amounts per goal. Great for e-commerce.
  • Self-HostingRun via Docker. AGPL Community Edition.
  • Shared DashboardsPublic or password-protected share links.
  • Single-page DashboardAll your metrics on one page: visitors, pageviews, sources, devices, countries,
  • Stats APIPull data into your own tools via REST. Business+.
  • Team ManagementOwners, admins, viewers per site.
  • UTM CampaignsTrack utm_source/medium/campaign automatically.

Developer interfaces

KindLlamaIndexPlausible Analytics
SDKllama-index (Python), llamaindex (TS)@nuxtjs/plausible + plugins, plausible-tracker (npm)
RESTLlamaCloud API, LlamaParse APIEvents API, Plausible Stats API, Sites Management API
MCPLlamaIndex MCP
OTHERTracker Script (<script>)
Staxly is an independent catalog of developer platforms. Outbound links to LlamaIndex and Plausible Analytics are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.

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