Problem: the hexagonal refactor churns the backend tree for nine more phases; the UI delivery stack (web/ SPA, cmd/desktop Wails wrapper, compose/web image) must move to its own repo first so doc/layout rewrites land once on a backend-only tree. Change: - New repo git.hubris.network/dtoro/oikos-web (v0.33.0): web/, desktop/ (updateURL repointed to oikos-web releases), compose/, own CI (web + desktop jobs), own deploy script (CI-green gate, TOCTOU guard, version-tagged images, prune-to-3), own webhook receiver on :9798 + launchd unit, own compose project publishing the same 8091:80. - Cutover executed on mac-mini in order: oikos stack's web service stopped+removed, oikos-web project brought up on 8091; outer Caddy untouched (targets the published port) — serving + Authentik flow + /wails 404 quirk verified post-cutover. - Stripped from oikos: web/, cmd/desktop/, compose/web/, desktop CI workflow, ci.yml web job, Makefile ui/desktop/desktop-package/install targets, the compose web service, oikos-web from deploy.sh's fallback prune list; wails + go-keyring dropped from go.mod, vendor synced. - README / CONTRIBUTING / AGENTS.md / .agents dev+operations docs now point at the new repo; mbse + mascot design docs carry a path note. Risk: production SPA serving depends on the new pipeline now; rollback is versioned-image re-up of the old web service from a pre-split checkout (port 8091). Desktop builds installed before the split still check dtoro/oikos releases — one manual reinstall, noted in the oikos-web release notes. Verification: go vet, make test (race), make generate-check, golangci (no new findings; baseline down 400→365); post-cutover curls — localhost:8091 200, /wails/runtime.js 404, outer Caddy 302 Authentik.
fast-levenshtein - Levenshtein algorithm in Javascript
An efficient Javascript implementation of the Levenshtein algorithm with locale-specific collator support.
Features
- Works in node.js and in the browser.
- Better performance than other implementations by not needing to store the whole matrix (more info).
- Locale-sensitive string comparisions if needed.
- Comprehensive test suite and performance benchmark.
- Small: <1 KB minified and gzipped
Installation
node.js
Install using npm:
$ npm install fast-levenshtein
Browser
Using bower:
$ bower install fast-levenshtein
If you are not using any module loader system then the API will then be accessible via the window.Levenshtein object.
Examples
Default usage
var levenshtein = require('fast-levenshtein');
var distance = levenshtein.get('back', 'book'); // 2
var distance = levenshtein.get('我愛你', '我叫你'); // 1
Locale-sensitive string comparisons
It supports using Intl.Collator for locale-sensitive string comparisons:
var levenshtein = require('fast-levenshtein');
levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true});
// 1
Building and Testing
To build the code and run the tests:
$ npm install -g grunt-cli
$ npm install
$ npm run build
Performance
Thanks to Titus Wormer for encouraging me to do this.
Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):
Running suite Implementation comparison [benchmark/speed.js]...
>> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled)
>> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled)
>> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled)
>> natural x 255 ops/sec ±0.76% (88 runs sampled)
>> levenshtein x 180 ops/sec ±3.55% (86 runs sampled)
>> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled)
Benchmark done.
Fastest test is fast-levenshtein at 4.2x faster than levenshtein-component
You can run this benchmark yourself by doing:
$ npm install
$ npm run build
$ npm run benchmark
Contributing
If you wish to submit a pull request please update and/or create new tests for any changes you make and ensure the grunt build passes.
See CONTRIBUTING.md for details.
License
MIT - see LICENSE.md

