PostHog vs Plausible 2026

Quick Answer

PostHog and Plausible serve different analytics needs: PostHog is a comprehensive product analytics platform with advanced features like session replay, feature flags, and experimentation, while Plausible focuses on simple, privacy-first web analytics. Choose PostHog for product teams needing deep user behavior insights and experimentation capabilities, or Plausible for straightforward website analytics with strong privacy compliance.

Comparison Table

Feature	PostHog	Plausible
Primary Focus	Product analytics suite	Privacy-first web analytics
Open Source	Yes (Python, 32,564 stars)	Yes (Elixir, 24,571 stars)
GitHub Activity	Very active (last push: Apr 12, 2026)	Active (last push: Apr 12, 2026)
Free Tier	Yes (1M events, 5K recordings)	Limited free trial
Pricing Model	Freemium + usage-based	Subscription-based
Best For	Product teams, SaaS companies	Content sites, privacy-focused orgs
Data Retention	1-7 years	Varies by plan

Data as of April 12, 2026

Pricing Comparison

PostHog Pricing Structure

PostHog offers a generous Free tier that includes:

• 1 million analytics events monthly
• 5,000 session recordings
• 1 million feature flag requests
• 100,000 error tracking exceptions
• 1,500 survey responses
• 1 million data warehouse rows
• 1-year data retention
• Unlimited team members
• 1 project

The Pay-as-you-go plan provides:

• Usage-based pricing across all products
• Up to 6 projects
• 7-year data retention
• Email support
• Billing limits per product
• Volume discounts for higher usage

PostHog’s pricing scales with actual usage, making it cost-effective for growing teams while providing enterprise-grade features even on the free tier.

Plausible Pricing

Note: Specific Plausible pricing data was not available in our dataset as of April 13, 2026. We recommend checking their official pricing page for current rates.

Feature Deep Dive

Analytics Capabilities

PostHog provides comprehensive product analytics with event tracking, funnel analysis, cohort analysis, and retention metrics. The platform captures detailed user behavior data and offers advanced segmentation capabilities. With 1 million free events monthly, teams can analyze user journeys without immediate cost concerns.

Plausible focuses on essential web analytics with a clean, simple interface. It tracks page views, unique visitors, bounce rates, and traffic sources without the complexity of advanced product analytics features.

Privacy and Compliance

PostHog offers self-hosting options for complete data control, though their cloud version processes data on their servers. The open-source nature (32,564 GitHub stars) allows full transparency into data handling practices.

Plausible built its reputation on privacy-first analytics, designed to be GDPR compliant by default. With 24,571 GitHub stars, it’s gained significant traction among privacy-conscious organizations seeking cookie-free analytics.

Session Recording and User Experience

PostHog includes session replay functionality with 5,000 free recordings monthly, allowing teams to watch actual user sessions to identify UX issues and optimization opportunities.

Plausible does not offer session recording capabilities, focusing instead on aggregated analytics data that maintains user privacy.

Feature Flags and Experimentation

PostHog provides built-in feature flagging with 1 million free requests monthly, plus A/B testing and experimentation tools. This makes it a complete product development platform beyond just analytics.

Plausible does not include feature flags or experimentation capabilities, maintaining its focus on straightforward analytics.

Who Should Choose PostHog

Product Teams Building SaaS Applications: PostHog’s comprehensive suite including analytics, session replay, feature flags, and experimentation makes it ideal for product managers and developers who need deep insights into user behavior and product performance.

Startups Needing Multiple Tools: With its generous free tier covering analytics, error tracking, surveys, and feature flags, PostHog eliminates the need for multiple separate tools, reducing both complexity and costs for early-stage companies.

Data-Driven Organizations: Teams requiring advanced analytics capabilities like cohort analysis, funnel tracking, and user journey mapping will benefit from PostHog’s sophisticated analytics engine and data warehouse functionality.

Self-Hosting Requirements: Organizations with strict data residency requirements can leverage PostHog’s open-source nature (available on GitHub with Python codebase) to deploy on their own infrastructure.

Who Should Choose Plausible

Content Websites and Blogs: Publishers focused on understanding traffic patterns, popular content, and referral sources will appreciate Plausible’s straightforward approach to web analytics without the complexity of product-focused features.

Privacy-First Organizations: Companies prioritizing user privacy and GDPR compliance will value Plausible’s cookie-free, privacy-by-design approach that doesn’t require consent banners or complex privacy configurations.

Small Business Owners: Non-technical users who need simple, actionable insights about website performance without learning complex analytics interfaces will find Plausible’s clean dashboard more accessible.

Marketing Teams: Organizations primarily focused on understanding traffic sources, campaign performance, and basic conversion tracking will benefit from Plausible’s marketing-oriented analytics approach.

Migration Considerations

Moving from Plausible to PostHog

Data Export: Check Plausible’s data export capabilities for historical analytics data. PostHog’s data warehouse can accommodate imported historical data for continuity.

Implementation Complexity: PostHog requires more initial setup for advanced features like session recording and feature flags. Plan for developer time to implement tracking for product-specific events beyond basic page views.

Team Training: PostHog’s comprehensive feature set requires more extensive team training compared to Plausible’s simpler interface. Budget time for onboarding team members on advanced analytics concepts.

Moving from PostHog to Plausible

Feature Limitations: Evaluate which PostHog features your team actively uses. Session recordings, feature flags, and advanced product analytics won’t be available in Plausible.

Data Retention: PostHog offers up to 7-year data retention on paid plans. Ensure Plausible’s retention policies meet your compliance and analysis needs.

Integration Changes: Review existing integrations and automations built around PostHog’s API, as these will need replacement or removal when switching to Plausible’s simpler analytics model.

Related Guides

• PostHog vs Heap 2026: Complete Analytics Platform Comparison
• Asana vs Linear 2026: Complete Comparison Guide
• Asana vs Teamwork 2026: Complete Comparison Guide
• Basecamp vs Teamwork 2026: Complete Comparison Guide
• Basecamp vs Wrike 2026: Complete Comparison Guide

FAQ

Is PostHog really free for small teams?

Yes, PostHog offers a genuinely useful free tier with 1 million analytics events, 5,000 session recordings, and 1 million feature flag requests monthly. This is sufficient for most early-stage startups and small applications. The free tier includes unlimited team members and 1-year data retention.

How does Plausible handle user privacy compared to PostHog?

Plausible is designed specifically for privacy compliance, using no cookies and collecting only aggregated, anonymous data. PostHog collects more detailed user behavior data for product analytics, though it offers self-hosting options for complete data control. Both are open source, allowing transparency into their data handling practices.

Can I self-host both PostHog and Plausible?

Yes, both platforms are open source. PostHog’s repository has 32,564 stars on GitHub (Python-based), while Plausible has 24,571 stars (Elixir-based). Self-hosting gives you complete control over your analytics data but requires technical expertise to maintain and update the systems.

Which tool is better for e-commerce analytics?

PostHog is generally better for e-commerce due to its advanced product analytics capabilities, funnel analysis, and session replay features that help optimize conversion paths. It can track detailed user journeys and identify drop-off points in checkout flows. Plausible focuses on basic traffic analytics rather than conversion optimization.

How do the GitHub communities compare?

Both projects are actively maintained as of April 12, 2026. PostHog has 32,564 stars with 2,513 forks and 3,381 open issues, indicating a large, active community. Plausible has 24,571 stars with 1,378 forks and only 69 open issues, suggesting a more stable codebase with fewer reported problems.

What happens if I exceed PostHog’s free tier limits?

PostHog automatically switches you to their pay-as-you-go pricing when you exceed free tier limits. You can set billing limits for each product to control costs. The usage-based model means you only pay for what you actually use beyond the free allowances.

Do I need technical skills to implement these tools?

PostHog requires more technical implementation, especially for advanced features like custom event tracking, session replay configuration, and feature flag setup. Plausible has simpler implementation, typically requiring just adding a single script tag to your website for basic analytics tracking.