# Temps vs PostHog

> PostHog is a product analytics suite with a generous free tier. Temps includes privacy-first analytics and session replay alongside deployments — less analytical depth, no event quota, and self-hosting that is designed to be run.

Last updated 2026-10-09 · Competitor prices checked October 2026

Canonical: https://temps.sh/compare/vs-posthog

Fewer analytics features. No event quota.

## Short answer

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 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: Cohorts, retention analysis, experiments, surveys and SQL access, none of which Temps offers, and feature flags with targeting rules and percentage rollouts (Temps' flags are per-environment values with a kill switch). Temps has funnels, but they are basic and defined through its API.

## TL;DR

| Dimension | Temps | PostHog | Better fit |
| --- | --- | --- | --- |
| Product analytics depth | Pageviews, events, funnels basics | Funnels, cohorts, retention, experiments | PostHog |
| Feature flags and A/B testing | Per-environment flags and kill switch; no targeting or A/B tests | Built in | PostHog |
| Event and replay metering | Unmetered — bounded by disk | $0.00005/event, $0.005/recording past free tier | Temps |
| Bundled with deployment | Same binary as your PaaS | Separate product to run or subscribe to | Temps |
| Self-hosting effort | Included in the Temps install | 4 vCPU / 16 GB box for the OSS stack | Temps |

## Key differences

- **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' analytics run inside the same Rust binary (beside Docker and a TimescaleDB container) 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.

## Features

| Feature | Temps | PostHog |
| --- | --- | --- |
| Web analytics | Yes (Privacy-first, unmetered self-hosted) | Yes (Deeper product analytics) |
| Session replay | Yes (rrweb-based) | Yes (5,000/mo free, then per recording) |
| Funnel analysis | Yes (Built-in, defined via API) | Yes (Deeper, and a core strength) |
| Cohorts | No | Yes (Core strength) |
| Feature flags | Yes (Per-environment flags and kill switch; targeting rules and rollouts not shipped yet) | Yes (1M requests/mo free, with targeting and rollouts) |
| A/B testing and experiments | No | Yes |
| Surveys | No | Yes |
| Data warehouse | No | Yes |
| Error tracking | Yes (Sentry-compatible DSN) | Yes (100k exceptions/mo free) |
| Uptime monitoring | Yes (60s checks built in) | No |
| Deployments | Yes (Git-push PaaS) | No (Not a deployment platform) |
| Managed PostgreSQL | Yes (HA clusters) | No |
| Event quota | Yes (None when self-hosted) | No (Metered above the free tier) |
| Open source | Yes (MIT / Apache 2.0) | Yes (MIT, except the ee directory) |
| Supported self-hosting | Yes | No (No support or guarantees for open-source deployments) |

## Pricing

| Item | Temps | PostHog |
| --- | --- | --- |
| Free tier | $0 self-hosted, unmetered | 1M 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 |
| Infrastructure | Free on your own VPS | $0 hosted, or a 4 vCPU / 16GB box to self-host |

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.

## Choose Temps if

- 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

## Choose PostHog if

- You need funnels, cohorts, retention analysis or experiments — PostHog is much stronger
- Feature flags with targeting and rollouts, 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)

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 — cohorts, experiments, surveys and PostHog's deeper funnel analysis have no full Temps equivalent (Temps has basic funnels and per-environment feature flags without targeting), so audit what your team actually depends on before switching. Historical events do not transfer.

## FAQ

### 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 or surveys, its feature flags are a Phase 1 per-environment kill switch without targeting or percentage rollouts, 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.

## Sources

- [PostHog pricing](https://posthog.com/pricing)
- [PostHog on GitHub](https://github.com/PostHog/posthog)
- [PostHog open-source disclaimer](https://posthog.com/docs/self-host/open-source/disclaimer)
- [PostHog self-host deployment guide](https://posthog.com/docs/self-host/open-source/deployment)

## Further reading

- [Self-Hosted Web Analytics in Temps](https://temps.sh/analytics): What the built-in analytics, session replay and funnels cover, with a Plausible and PostHog comparison.
- [Analytics Setup: Events, Funnels and Web Vitals](https://temps.sh/docs/analytics): What Temps analytics records, how funnels are defined, and the two first-party cookies it sets.
- [Session Replay Setup: rrweb SDK and Masking](https://temps.sh/docs/session-replay): Turn on replay per project, mask inputs and play sessions back next to errors.
- [7 Best Plausible Alternatives for Web Analytics](https://temps.sh/blog/7-best-plausible-alternatives-web-analytics-2026): PostHog, Temps and other privacy-first analytics tools compared on pricing and depth.
- [Best PostHog Alternatives 2026: Self-Hosted Options](https://temps.sh/blog/posthog-alternatives-2026): Temps, Umami, Matomo, OpenReplay, Plausible, Mixpanel, Amplitude and Clarity compared on pricing, replay and self-hosting.
- [Temps vs Plausible](https://temps.sh/compare/vs-plausible): The lighter end of the comparison: focused web analytics against a bundled platform.
- [6 best self-hosted session replay tools](https://temps.sh/blog/best-self-hosted-session-replay-tools-2026): If session replay is the part of PostHog you use, six self-hosted options compared.

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Source: https://temps.sh/compare/vs-posthog · Index of all pages: https://temps.sh/llms.txt