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Openship vs Temps: Pingora vs OpenResty Architecture

Openship and Temps under the hood: TypeScript and OpenResty vs Rust and Pingora, Compose handling, SSH targets and built-in observability, from source.

David Viejo
David Viejo · Updated · Published

Choose Openship for agentless SSH targets, a desktop-first workflow or a managed server from Openship Cloud; choose Temps when you want deployment plus built-in analytics, OpenTelemetry, session replay, Sentry-compatible error tracking and uptime checks. Both are open source and free to self-host, with git deployments, preview environments, automatic HTTPS, managed databases, backups and transactional email. This post is about how they are built and what that means for the people running them; for the side-by-side buying comparison, see Temps vs Openship.

Openship is the stronger choice when you want a desktop application or one control plane that deploys to clean remote servers over SSH. Temps is the stronger choice when you want to deploy Docker Compose projects and diagnose production behavior—AI crawler analytics, product analytics, OpenTelemetry, funnels, session replay, error tracking, uptime checks and request logs—without assembling separate services. Both use standard containers, and neither is the right answer for every team.

This article is written by the Temps team. We first reviewed the public source of Openship at v0.1.11 and the Temps repository on July 19, 2026, and re-checked Openship's pricing, OpenResty adapter, Compose, MCP, desktop and monitoring modules against v0.8.2 (released October 6, 2026). Claims below link to official code or documentation. We have not published a controlled benchmark between the two products, so we do not present estimated latency or memory differences as measured facts.

Architecture and features at a glance

CapabilityTempsOpenship
Self-hosted licenseMIT or Apache 2.0Apache 2.0
Core implementationRust workspace, compiled serverTypeScript monorepo, bundled Node/Bun service
Self-hosted proxyPingora—built into the Temps binary; no separate proxy dependencyOpenResty—separate Nginx + Lua service
Git and preview deploymentsYesYes
Docker Compose deploymentYes—first-class multi-service presetYes—first-class multi-service flow
Remote server modelTemps worker nodes joined over a private network you provideAgentless SSH target; clusters over WireGuard and k3s since v0.8.0
Native desktop appNoYes—Electron
Automation interfacesCLI, REST API, and recommended agent skillsCLI, REST API, and MCP
Request and container analyticsYesYes
Product events and funnelsYesNo equivalent found in public source
AI crawler analyticsYesNo equivalent found in public source
OpenTelemetry traces, metrics, and logsYesNo equivalent found in public source
Browser session replayYes—rrweb-basedNo equivalent found in public source
Application error trackingYes—Sentry-compatibleNo equivalent found in public source
External uptime checksYesLive resource monitoring with alerts; Uptime Kuma available as a one-click app
Managed Postgres, Redis, MongoDBYesYes
Managed MySQL-compatible databaseYes (MariaDB)Yes (MySQL)
S3-compatible object storageYesYes
Transactional emailYesYes—plus a broader mail/webmail stack
Self-hosted price$0 plus your infrastructure$0 plus your infrastructure
Managed offeringTemps Cloud control plane, coming soon from $29/mo (your servers)Openship Cloud, $5–$99/mo per managed server, no per-seat fees

The architecture difference: Rust and Pingora vs TypeScript and OpenResty

The language comparison matters, but only when connected to an operational consequence.

Openship: a TypeScript control plane with OpenResty routing

Openship is a TypeScript monorepo split into an API, CLI, Next.js dashboard, Electron desktop application, email application, and shared packages. Its API package uses Hono, BullMQ, ioredis, Better Auth, Drizzle-backed data access, and adapter packages for deployment targets.

For self-hosted traffic, Openship detects and configures OpenResty in its platform adapter. OpenResty combines Nginx with Lua, giving Openship a mature event-driven proxy and a programmable management layer. Application containers sit on isolated networks, and a separately operated OpenResty service routes domains to the active container.

That is a sensible architecture. Nginx is familiar to operators, its configuration model is well understood, and OpenResty adds dynamic behavior without requiring Openship to write a proxy from scratch. Openship also keeps its control plane away from remote production machines: the architecture documentation defines local, SSH-connected server, and cloud targets, and the server target does not require an Openship daemon on the destination.

The trade-off is the number of moving parts. A TypeScript API has a JavaScript runtime and garbage collector. The full product also coordinates a dashboard, database, job system, adapters, and optional desktop and mail applications. Openship packages that experience well, but it is not one compiled server process.

Temps: a Rust control and data plane with Pingora

Temps implements its platform core as a Rust workspace. The root Cargo configuration includes Pingora and dedicated crates for the proxy, analytics, session replay, error tracking, monitoring, deployments, backups, DNS, managed services, and WireGuard networking.

Every application request passes through Pingora, the Rust proxy framework Cloudflare created to replace its previous Nginx-based proxy infrastructure. Pingora is compiled into the Temps binary—it is not a separate Nginx, Traefik, Caddy, or proxy-container dependency to install and version. In the default server mode, the same Temps process runs the control plane and proxy; split mode still uses the same Temps executable. Routing, health-gated deployment swaps, TLS, request logging, and visitor attribution can therefore share typed Rust services instead of communicating across a separate proxy configuration boundary.

Rust gives Temps three practical properties:

  1. No garbage collector in the request path. Memory is released deterministically, which avoids runtime GC pauses in the proxy and control plane.
  2. A compiled server artifact. The deployment engine, proxy, API, and observability services ship together rather than requiring a Node runtime for the core server.
  3. Compile-time boundaries. Typed errors and exhaustive enums make cross-service changes harder to ship in an incomplete state.

Those properties make Rust a good fit for infrastructure software, but they do not prove that Temps is faster than Openship in every scenario. Nginx and OpenResty are highly optimized. A deployment control plane also spends much of its time waiting on Git, Docker, SSH, databases, and networks—not executing language-level instructions.

In short: Temps compiles Pingora into the Temps binary, so self-hosting does not require a separate reverse-proxy dependency. Openship uses a TypeScript control plane and a separately operated OpenResty service for self-hosted routing. This is an architectural difference, not a published head-to-head performance result.

For a deeper explanation of the Temps decision, read why we use Rust for a deployment platform and the single-binary architecture documentation.

Where Openship is better

A fair comparison should make the case for the competitor before making the case for Temps. Openship has several concrete advantages.

Openship has deeper Compose parsing and dashboard reconciliation

Openship has dedicated Compose code for parsing projects, building multiple services, reconciling dashboard edits, and generating composite routes. Its repository contains a complete Compose deployment pipeline, not a marketing placeholder.

Temps also supports Docker Compose as a first-class deployment preset. It deploys multi-container applications from Git, merges optional Compose override YAML, routes custom domains to individual services, injects project environment variables into every service, and preserves volumes across redeployments. Container exec can target individual Compose services. See the Temps 0.0.7 Compose release details.

Both platforms can deploy an existing multi-service compose.yaml. Openship's current edge is its richer Compose parsing and dashboard reconciliation. Temps' edge is connecting the deployed services to the rest of its observability platform.

Agentless SSH targets are clean and flexible

An Openship control plane can build locally, then stream an image to a remote Linux server over SSH. The destination runs your containers and OpenResty, but no Openship dashboard or agent. This keeps production machines focused on serving workloads and lets one control plane target several providers.

Since v0.8.0 (September 27, 2026) Openship can also group SSH servers into clusters: it builds an Openship-managed WireGuard network between them, installs k3s underneath, and scales applications, PostgreSQL and Redis across the nodes.

Temps uses a different multi-node model: worker nodes run Temps and join the control plane with temps join over a private network you provide, without Kubernetes. That supports internal DNS, scheduling and platform-aware failover, and keeps one Rust process in charge of routing and observability on every node.

Choose Openship when “connect any clean server over SSH” is the requirement, or when you want k3s underneath your cluster. Choose Temps when you want the nodes to behave as one platform without running Kubernetes.

Desktop and MCP interfaces are unusually complete

Openship ships an Electron desktop application alongside its web dashboard and CLI. It also generates MCP tools from permission-tagged API routes through its MCP module.

Temps has a web console, CLI, API, and installable agent skills, but no equivalent native desktop client. The standalone Temps MCP package was removed in July 2026; agent skills and the CLI are the documented automation interface. If a desktop-first workflow matters, Openship wins without qualification.

Broader service compatibility

Both platforms provision Postgres, Redis, MongoDB, a MySQL-compatible database (MariaDB on Temps, MySQL on Openship), backups, object storage, and email. Openship adds a broader iRedMail-based mail and webmail system. Temps focuses more narrowly on services it can connect to its monitoring, query, backup, and observability layers.

Broader is better when you need one of those additional services. Narrower can be better when you value deeper platform integration.

Where Temps is better

Temps differentiates after deployment, where production questions move from “is the container running?” to “what did the user experience, which request failed, and what changed?”

Application observability is built into the PaaS

Openship has real analytics. Its analytics module combines OpenResty or cloud traffic buckets with deployment and container data. It reports requests, bandwidth, response time, status information, paths, unique-request counts, and resource usage.

Temps covers that infrastructure layer and adds application-level signals:

  • Product events, visitor journeys, referrers, devices, geography, and retention
  • AI crawler and AI-referred traffic analytics
  • Ordered conversion funnels
  • Web Vitals and engagement tracking
  • OpenTelemetry traces, metrics, and logs correlated with deployments
  • rrweb-based browser session replay
  • Sentry-compatible exception ingestion, grouping, and issue workflows
  • External uptime checks, outage history, and alerts
  • Proxy request logs on the same timeline as traces, errors and revenue

The distinction is important: Openship analytics answers “how is traffic reaching this deployment?” Temps also answers “what did this visitor do before the error?” See the Temps analytics documentation, session replay documentation, and error-tracking setup.

Dedicated products such as Sentry or PostHog remain deeper in their specialties. Temps wins on consolidation and correlation, not on matching every feature of every observability vendor.

The platform core has a smaller operational shape

One compiled core is easier to version as a unit. There is no Node runtime to patch for the main server, no separately installed or separately versioned reverse proxy, and no JavaScript garbage collector handling application traffic. Pingora ships inside the Temps binary rather than becoming another self-hosted dependency.

That can translate to lower platform overhead and more predictable latency, especially on a small VPS. But the honest qualifier matters again: resource consumption depends on enabled services, workload, database configuration, retention, and traffic. Until both projects publish a reproducible benchmark on identical hardware, “Rust is more efficient” should be treated as an architectural expectation, not a measured product ranking.

Pingora is part of the application data path

Because Pingora is a Rust library inside the Temps platform, request routing can participate directly in platform behavior. Temps uses this integration for request logs, visitor attribution, route updates, health-gated traffic switches, access controls, and analytics ingestion.

OpenResty is more operationally familiar. Pingora is more deeply programmable from the same language and type system as the rest of Temps. The better choice depends on whether you value established Nginx operations or one integrated Rust data plane.

What each costs beyond self-hosting

Both products are free to self-host, and neither charges per seat. The difference is in what each sells on top.

Openship Cloud is managed hosting priced per server, as of October 2026: Hobby $5/month (1 vCPU, 2 GB RAM, 40 GB disk), Starter $20/month (2 vCPU, 8 GB, 128 GB), Pro $39/month (4 vCPU, 16 GB, 250 GB) and Scale $99/month (8 vCPU, 32 GB, 600 GB). Each plan includes one managed server whose capacity your apps and builds share, with unlimited team members, monthly billing only, and managed proxy transfer and backups billed separately.

Temps does not sell hosting. Self-hosted Temps costs only the server you run it on. Premium, a licence for the Enterprise Edition binary (SAML SSO, SCIM, custom roles, approval gates, a tamper-evident audit log and more), is $399 per organisation per month. Temps Cloud, a hosted control plane for servers you still pay your provider for, is coming soon from $29/month for two server slots. The full breakdown is on the pricing page.

If you want someone else to run the server for $5–$99 a month, Openship Cloud is the option and Temps has no equivalent. If you are going to run the server yourself either way, both platforms cost $0.

What both platforms do well

The overlap is substantial:

  • Git-triggered builds and deployments
  • Preview environments
  • Automatic Let's Encrypt certificates and custom domains
  • Health checks, zero-downtime traffic changes, and rollbacks
  • Container logs and resource metrics
  • Managed databases and S3-compatible storage
  • Backup and restore workflows
  • Transactional email with domain authentication
  • CLI, web dashboard, and REST API integrations; Openship offers MCP, while Temps recommends installable agent skills
  • Open-source licensing and standard container workloads

Neither platform locks your application into a proprietary function runtime. If you leave, your source, images, and database formats remain standard. That portability is one of the strongest reasons to choose either project over a closed deployment cloud.

Which platform should you choose?

Choose Openship if:

  • You want one control plane to deploy workloads to clean remote servers over SSH without installing a platform agent
  • You want a native desktop application for managing deployments
  • You need a full mail and webmail stack
  • You want a managed server from Openship Cloud rather than running your own
  • You want Compose configuration that can be parsed, edited, and reconciled through the platform dashboard
  • You want to build locally and stream images to production targets, keeping build work off those servers
  • You already operate around Nginx/OpenResty and want that proxy layer to remain independently manageable

Choose Temps if:

  • You want product analytics, funnels, Web Vitals, and AI crawler visibility beside each deployment
  • You want OpenTelemetry traces, metrics, and logs correlated with deployments
  • You need Sentry-compatible error ingestion and rrweb session replay without running separate services
  • You want external uptime checks, proxy request logs, and infrastructure monitoring in the same incident workflow
  • You want to deploy multi-service Docker Compose projects while keeping per-service routing and observability
  • You want to self-host with no per-seat platform fee and no separately managed reverse proxy

Choose neither if:

  • You require Kubernetes-scale fleet orchestration across hundreds of clusters
  • You need a global edge network comparable to Cloudflare or Vercel
  • You require a mature enterprise compliance program and contractual controls immediately
  • You need the full depth of Datadog, Sentry, or another dedicated APM product

Methodology and correction policy

We inspected Openship's public API modules for deployments, Compose, analytics, backups, permissions, mail, notifications, and MCP; its adapter and desktop packages; its official architecture docs; and its pricing page. We inspected the equivalent Temps Rust crates, SDKs, CLI, public docs, and comparison implementation.

A “yes” in this article means the feature exists in official documentation or public source. When a homepage claim and repository status differ, we use the narrower repository-backed description. Product behavior and pricing change, so this article states the versions reviewed and links to primary sources. Corrections can be reported through the Temps GitHub repository.

Frequently Asked Questions

Is Temps faster than Openship because it uses Rust?

Rust removes garbage collection from the Temps proxy and platform core and compiles to native code, which supports lower overhead and predictable latency. Openship uses a TypeScript control plane and OpenResty, an optimized Nginx-based proxy. No controlled public benchmark compares the two products, so it is accurate to describe the architectural advantage but not to claim a measured speed multiplier.

Does Openship use Nginx?

Openship uses OpenResty for self-hosted routing. OpenResty combines Nginx with Lua modules. Its platform adapter detects OpenResty paths, ensures the shared configuration, and writes routes that forward domains to application containers.

Does Openship have analytics?

Yes. Openship includes proxy request analytics, bandwidth and response-time data, path and status information, deployment statistics, and container resource metrics. Temps adds product events, funnels, visitor journeys, Web Vitals, browser session replay, and Sentry-compatible application error tracking.

Can Temps deploy an Openship Docker Compose project unchanged?

Yes. Select the Docker Compose preset and deploy the repository containing the Compose file. Temps supports multi-service builds, service-specific public routes and custom domains, Compose override files, environment injection, preserved volumes, and per-service container exec. As with any move between hosts, validate external secrets, host-specific bind mounts, DNS, and provider-specific labels before switching production traffic.

Are Temps and Openship free to self-host?

Yes. Openship is Apache 2.0 licensed. Temps is available under MIT or Apache 2.0. Both cost $0 for the platform when self-hosted, but you still pay for servers, storage, backups, bandwidth, and operational time.

Which is better for a small team?

Openship is better when the team values desktop or agentless SSH workflows and its broader managed-service catalog. Temps is better when the team wants deployments, AI and product analytics, OpenTelemetry, Sentry-compatible errors, replay, and uptime in one self-hosted system. Neither charges per seat; Openship also sells managed servers from $5/month, which Temps does not. Both handle single-container and Docker Compose applications; the deciding factor is what the team needs around the deployment.

Related: Compare every row in the Temps vs Openship feature matrix, review the Docker Compose release details, install the recommended Temps agent skills, or see how Temps puts requests, traces, errors, and revenue on one timeline.

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