PostHog · Managed platform

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Temps vs PostHog

Fewer analytics features. No event quota.

Monthly cost at a glance

Temps
PostHog
Free tier
$0 self-hosted, unmetered
1M events, 5k web replays, 1M flag requests
Analytics beyond free
$0
From $0.00005 per event
Session replay beyond free
$0
From $0.005 per web recording
Infrastructure
Free on your own VPS
$0 hosted,
$curl -fsSL https://temps.sh/deploy.sh | bash

The short answer

PostHog
PostHog is a product analytics platform with funnels, cohorts, retention analysis, experiments, feature flags and SQL access to your data. Its free tier covers 1M events and 5k web replays a month, after which it bills from $0.00005 per event and $0.005 per recording.
Temps
Temps provides web analytics and session replay attached to the platform you deploy on, unmetered and bounded by disk rather than by plan. Its analytics come with the install; self-hosting PostHog's stack wants a 4 vCPU / 16 GB machine of its own.
What PostHog has that Temps doesn't
Funnels, cohorts, retention analysis, experiments, feature flags and SQL access — none of which Temps offers.

Scored, dimension by dimension

  • Product analytics depth

    PostHog

    Temps

    Pageviews, events, funnels basics

    PostHog

    Funnels, cohorts, retention, experiments

  • Feature flags and A/B testing

    PostHog

    Temps

    Not offered

    PostHog

    Built in

  • Event and replay metering

    Temps

    Temps

    Unmetered — bounded by disk

    PostHog

    $0.00005/event, $0.005/recording past free tier

  • Bundled with deployment

    Temps

    Temps

    Same binary as your PaaS

    PostHog

    Separate product to run or subscribe to

  • Self-hosting effort

    Temps

    Temps

    Included in the Temps install

    PostHog

    4 vCPU / 16 GB box for the OSS stack

Why teams switch from PostHog

PostHog is the deeper analytics product and its free tier is unusually generous — 1M events and 5,000 session replays a month. Temps competes on a narrower claim: analytics and replay that arrive with your deployment platform, self-host cleanly, and do not meter events.

No event quota when self-hosted
Temps analytics are not metered. PostHog's own docs say a self-hosted open-source deployment runs on a single machine and is "unlikely to scale past a couple 100ks events without significant effort in scaling", and their deployment guide asks whether you expect to exceed 300k events a month before recommending Cloud. A busy self-hosted install is outside what they support.
Self-hosting is the primary path
Temps is built to be self-hosted and supported that way under MIT / Apache 2.0. PostHog's open-source deployment comes with no customer support and no guarantees by their own documentation.
One binary, not a cluster
PostHog's self-hosted deployment guide asks for the equivalent of a Hetzner VM with 4 vCPU, 16GB of RAM and more than 30GB of storage, running a multi-service stack. Temps is a single Rust binary that also handles deployments, error tracking and uptime monitoring.
Analytics attached to your deploys
Because Temps ships the app and collects its analytics, a traffic change sits next to the deployment that caused it without wiring up a release annotation.

Feature comparison

What each platform includes out of the box, and what needs a separate subscription.

  • Web analytics

    Temps

    Yes
    Privacy-first, unmetered self-hosted

    PostHog

    Yes
    Deeper product analytics
  • Session replay

    Temps

    Yes
    rrweb-based

    PostHog

    Yes
    5,000/mo free, then per recording
  • Funnel analysis

    Temps

    Yes
    Built-in, defined via API

    PostHog

    Yes
    Deeper, and a core strength
  • Cohorts

    Temps

    No

    PostHog

    Yes
    Core strength
  • Feature flags

    Temps

    No

    PostHog

    Yes
    1M requests/mo free
  • A/B testing and experiments

    Temps

    No

    PostHog

    Yes
  • Surveys

    Temps

    No

    PostHog

    Yes
  • Data warehouse

    Temps

    No

    PostHog

    Yes
  • Error tracking

    Temps

    Yes
    Sentry-compatible DSN

    PostHog

    Yes
    100k exceptions/mo free
  • Uptime monitoring

    Temps

    Yes
    60s checks built in

    PostHog

    No
  • Deployments

    Temps

    Yes
    Git-push PaaS

    PostHog

    No
    Not a deployment platform
  • Managed PostgreSQL

    Temps

    Yes
    HA clusters

    PostHog

    No
  • Event quota

    Temps

    Yes
    None when self-hosted

    PostHog

    No
    Metered above the free tier
  • Open source

    Temps

    Yes
    MIT / Apache 2.0

    PostHog

    Yes
    MIT, except the ee directory
  • Supported self-hosting

    Temps

    Yes

    PostHog

    No
    No support or guarantees for open-source deployments

What it actually costs

PostHog's free tier is genuinely generous and most small products will never pay for it. The comparison is not really about price at that scale — it is about whether you want a deep, metered analytics suite as a separate system, or lighter analytics that come with the platform and are not metered when you run them yourself.

ScenarioTempsPostHog
Free tier$0 self-hosted, unmetered1M events, 5k web replays, 1M flag requests
Analytics beyond free$0 (included)From $0.00005 per event
Session replay beyond free$0 (included)From $0.005 per web recording
InfrastructureFree on your own VPS$0 hosted, or a 4 vCPU / 16GB box to self-host

Which one should you choose?

Choose Temps if you…

  • You want analytics and session replay included with your deployment platform
  • You expect to exceed a few hundred thousand events/month on a self-hosted install
  • You want a single binary rather than a multi-service analytics stack
  • Analytics data must stay on your own infrastructure with supported self-hosting
  • You need deployments, error tracking and uptime monitoring in the same tool

What PostHog does better than Temps

  • You need funnels, cohorts, retention analysis or experiments — PostHog is much stronger
  • Feature flags or A/B testing are part of your workflow
  • You want a data warehouse and SQL access to your product data
  • You are inside the free tier and value analytical depth over bundling
  • You want a hosted product with dedicated support

Migrating from PostHog

Medium difficulty

Swap the PostHog snippet for @temps-sdk/react-analytics. Pageviews and custom events map across directly, and session replay is rrweb-based on both sides. What does not map is anything built on PostHog's analysis layer — funnels, cohorts, experiments and feature flags have no Temps equivalent, so audit what your team actually depends on before switching. Historical events do not transfer.

Frequently asked questions

Is PostHog free?

PostHog's free tier includes 1M product analytics events, 5,000 web session recordings, 1M feature flag requests and 100k error tracking exceptions per month. Usage beyond that is billed per unit.

Can I self-host PostHog for free?

Yes — PostHog is MIT licensed apart from its ee directory, and a posthog-foss repository exists. Their documentation says an open-source deployment is "unlikely to scale past a couple 100ks events without significant effort", uses 300k events a month as the point to reconsider, and states plainly that self-hosted users cannot receive commercial support and that PostHog cannot help debug or recover from data loss.

Does Temps replace PostHog?

Only for pageviews, custom events, funnels and session replay. Temps has no cohorts, experiments, surveys or feature flags, and PostHog's funnel analysis is considerably deeper than ours. If any of those are central to how you work, PostHog is the right tool.

How we researched this comparison

PostHog free-tier allowances and per-unit rates read from PostHog's public pricing page; licence from the GitHub repository; scaling limits, hardware requirements and support position from PostHog's self-hosting documentation. No benchmarks were run.

Disclosure: Temps publishes this page and is one of the products being compared.

Ready to switch from PostHog?

Self-host Temps for free, or join Temps Cloud from $29/month for queryable managed telemetry, query compute, and offsite backups.