Comparisons

Pick Tailscale if you want the mesh as a product — SSO, commercial support, a managed global relay fleet, zero servers to run. Pick Headscale if the hosted control plane is precisely what you cannot accept: it reimplements Tailscale’s closed coordination server as open source, drives the official clients from a single small binary on your VPS, and costs you community-level support and features that trail upstream.

Pick Tailscale when you want a private mesh that simply works and someone else on call for it — polished clients, a managed global relay fleet, nothing to operate. Pick NetBird when the control plane itself has to be yours — privacy, compliance, or per-user pricing that stops making sense as the team grows — and you are willing to run a real multi-service deployment to get it.

Pick LM Studio to explore local LLMs on your own computer — it is the friendliest desktop on-ramp, with in-app model discovery, a chat UI that just works, and MLX acceleration on Apple silicon. Pick Ollama the moment a server is involved: it runs headless on a VPS as a daemon, serves an OpenAI-compatible API to every client on your network, and is fully open source.

Open WebUI if you want the best general-purpose self-hosted ChatGPT — Ollama-native, polished, with the larger community and extension ecosystem. Pick AnythingLLM when documents are the point: workspaces with built-in ingestion, agents, and pick-your-own vector database, all under a clean MIT license.

Matomo if you are replacing Google Analytics wholesale — goals, e-commerce tracking, and raw data you fully own, at the same 2 GB footprint Plausible needs anyway. Pick Plausible if you want a dashboard you can read in ten seconds, cookieless and consent-free out of the box.

Umami unless you genuinely need Google Analytics-grade reporting — it runs on half the RAM, installs in minutes, and is cookieless by default. Pick Matomo when you are migrating off GA and need e-commerce tracking, goals, and raw data you own, and accept the heavier PHP + MariaDB stack that comes with it.

Ollama for a personal or small-team setup — it runs on CPU or GPU, pulls models with one command, and is trivial to keep alive on a VPS. Pick vLLM when you're serving many concurrent users from a GPU box: its continuous batching and PagedAttention deliver far higher throughput, at the cost of a CUDA stack and real hardware. For most self-hosters, Ollama is the right default.

PocketBase if auth, database, realtime, and file storage cover your needs — it delivers them in one binary on an eighth of the RAM. Pick Appwrite when you actually need the wider platform: serverless functions, messaging, and broad SDK coverage across a team that will use them.

Supabase when you need real Postgres — SQL, extensions, horizontal headroom, and the larger ecosystem — and can run its multi-container stack. Pick PocketBase for small-to-medium projects where a single binary on a tiny VPS beats operating a fleet of containers.