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datamitsu

Your toolchain deserves a home.

datamitsu is a platform for building reproducible, security-first development tool distributions. It manages binaries, runtimes, and configuration files so teams can standardize their tooling across all projects with a single package.

For a comprehensive overview of why datamitsu exists and what makes it unique, see About datamitsu.

Alpha Software

datamitsu is in alpha. The configuration API is not yet stabilized and may change between versions.

Key Features​

  • Security-first binary management — SHA-256 hash verification for every binary
  • Programmable JavaScript configuration — Full programmatic control via the goja runtime
  • Config chaining and inheritance — Layer configs from base → company → team → project
  • Multi-runtime support — Python (UV), Node.js (FNM/PNPM), JVM, and native binaries
  • Monorepo-aware — Per-project isolation for caches and tool execution
  • Docker-optimized — Pre-cache all tools in a Docker layer for fast CI builds

Quick Example​

Create a datamitsu.config.ts at your git root:

/// <reference path=".datamitsu/datamitsu.config.d.ts" />

function getConfig(prev) {
  return {
    ...prev,
    apps: {
      ...prev.apps,
      "golangci-lint": {
        binary: {
          binaries: {
            linux: {
              amd64: {
                glibc: {
                  url: "https://github.com/golangci/golangci-lint/releases/download/v2.1.0/golangci-lint-2.1.0-linux-amd64.tar.gz",
                  hash: "<sha256-hash>",
                  contentType: "tar.gz",
                  binaryPath: "golangci-lint-2.1.0-linux-amd64/golangci-lint",
                },
              },
            },
          },
        },
      },
    },
  };
}

globalThis.getConfig = getConfig;
globalThis.getMinVersion = () => "0.0.1";

Then initialize and run:

# Download all configured tools
datamitsu init

# Run lint checks
datamitsu check

How It Works​

datamitsu uses a two-level architecture: the core binary provides secure tool delivery and a config engine, while wrapper packages (npm/gem/pypi) provide concrete tool versions and opinionated defaults. Teams install one package and get everything configured.

Next Steps​

Want to Learn More?
  • About datamitsu — Understand why datamitsu exists and what makes it unique
  • Comparison Guide — See how datamitsu compares to mise, moon, Nx, and other tools
  • Using Wrappers — Learn how to consume config distribution packages
  • Contributing — Help improve datamitsu or build your own wrapper package