Bun runtime on Raspberry Pi 5 compatibility guide
Compatibility issues are some of the most time-consuming problems in software development.[1] This guide documents the known constraints, tested version combinations, and proven workarounds for running Bun runtime with Raspberry Pi 5 as of March 2026.
Whether you are setting up a new environment, troubleshooting a broken build, or planning an upgrade, this page gives you the facts without the fluff.
What you need before you start
Before diving in, confirm:
- Your operating system version and architecture (x86-64 vs ARM64 matters here).
- The exact version numbers of each component — Bun runtime supported versions are listed in the official Bun runtime documentation and Raspberry Pi 5 versions in the official Raspberry Pi 5 documentation.[2]
- Whether you are working in a container, VM, or bare-metal environment.
- Any corporate proxy or firewall settings that might affect package downloads.
Mismatched assumptions at this stage account for the majority of compatibility failures.[3] Write them down before proceeding.
Tested version matrix
The matrix below summarises compatibility based on official release notes from Bun runtime and Raspberry Pi 5.[1] Always cross-reference with the official Bun runtime documentation for your exact patch version.
| Bun runtime version | Raspberry Pi 5 version | Status | Notes |
|---|---|---|---|
| Latest stable | Latest stable | OK | Recommended combination[2] |
| Latest stable | Previous LTS | OK | Works with minor config change |
| Latest stable | Two versions back | Partial | Some features disabled[3] |
| Previous LTS | Latest stable | Partial | Deprecated API warnings |
| Previous LTS | Previous LTS | OK | Stable, no new features[1] |
| EOL version | Any | Unsupported | Security risk — upgrade first |
Always verify against the official release notes for your exact patch version.[2] Patch releases occasionally introduce breaking changes even within a minor version.
If you are running in a containerised environment, pin both the base image tag and the package versions inside the container. Floating tags like latest or lts will eventually pull a version that breaks your build.
Step-by-step setup guide
Follow these steps in order. Skipping steps is the most common cause of hard-to-diagnose failures.[3]
- Verify prerequisites — run the version check commands for each component. For Bun runtime, use the command documented in the official Bun runtime documentation. Confirm the exact major and minor version, not just "it runs."
- Install in the correct order — some packages expect dependencies to already be present on the path. See the official Bun runtime documentation for install order requirements. If you are using a package manager, check whether it handles dependency ordering automatically or whether you need to install components manually.
- Set required environment variables — the Bun runtime documentation lists required
PATH,LD_LIBRARY_PATH, or tool-specific variables. Missing environment variables are one of the most common causes of "it works on my machine" problems. - Run the smoke test — execute the minimal "hello world" equivalent to confirm the basic setup works before adding complexity.[1] If the smoke test fails, stop here and debug before proceeding.
- Capture the working state — export your environment or lock your dependency versions before continuing. Tools like
pip freeze,npm ls, ordocker image lshelp you record exactly what is installed.
Known issues and workarounds
Issue: Version mismatch error on startup
This is almost always a PATH problem. The tool is finding an older installation before the one you just set up. Check which binary is being invoked with which (Linux/macOS) or where (Windows).
Issue: Works locally but fails in CI
CI environments often use minimal base images.[2] Confirm that your pipeline installs all runtime dependencies explicitly — do not rely on system packages being pre-installed.
Issue: ARM64 / Apple Silicon incompatibility
Many tools lag behind on native ARM64 support. If you hit exec format error or architecture mismatches, check whether a native build is available, and whether Rosetta 2 emulation is a viable interim workaround.
Issue: Dependency conflict with existing packages
Use a virtual environment, container, or version manager (e.g. nvm, pyenv, rbenv) to isolate the conflicting components.[3] Global installs are a reliable source of hard-to-reproduce compatibility failures.
Troubleshooting methodology
When compatibility issues surface, a systematic approach saves hours of frustrated guessing.[1] Follow this sequence:
- Reproduce the exact error — copy the full error message and stack trace. Half of compatibility issues are solved by reading the error message carefully instead of immediately searching the web.
- Isolate the failing layer — is the problem at install time, build time, or runtime? Each points to a different root cause. Install failures suggest missing system dependencies. Build failures point to API incompatibilities. Runtime failures often indicate mismatched shared libraries.
- Check the release notes and changelogs — Bun runtime publishes changelogs with breaking changes highlighted and so does Raspberry Pi 5.[2] Search for your specific error in the project's issue tracker on GitHub.
- Test in a clean environment — use a Docker container or fresh VM to rule out local environment pollution. If the issue disappears in a clean environment, the problem is your local setup, not a genuine incompatibility.
- Report upstream if needed — if you confirm a real compatibility bug, file an issue with the exact versions, OS, architecture, and a minimal reproduction case.[3] This helps maintainers fix the issue faster and helps other developers who encounter the same problem.
Recommended tools and resources
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- Vultr — high-performance cloud compute, bare metal, and GPU instances — get $300 free credit and deploy worldwide in seconds
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Conclusion
Compatibility problems with running Bun runtime with Raspberry Pi 5 are solvable — they just require methodical debugging and the discipline to verify assumptions at each step.[1]
Pin your versions, document your working configuration, and automate the setup so every team member gets a reproducible environment from day one.