wekan
The Open Source kanban, built with Meteor. GitHub issues/PRs are only for FLOSS Developers, not for support, support is at https://wekan.fi/commercial-support/ . PR source translation to imports/i18n/data/en.i18n.json, other translations at https://app.transifex.com/wekan/wekan . No telemetry.
Runssource: GitHubJavaScriptMITcommit 0e77fbb9d9b3
JavaScript, MIT licensed. The project labels itself: docker image, foss, javascript, kanban, meteor, real time, sandstorm and snapcraft.
wekan runs. An Argusic agent installed it in 71 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
WeKan project builds, npm dependencies install cleanly via Meteor's bundled npm 11, Meteor server test suite passes 527 tests, the dev server starts and answers HTTP 200 on localhost:3000, and 1097 of 1226 plain-Node test suites pass under Node 26.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page. Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- system Node.js v18.19.1 is too old (project requires 26.x); npm 9 cannot parse the npm: alias syntax in package.json overrides8 minutes
- MongoDB not pre-installed in the container5 minutes
- package.json sourcemap-codec override uses npm: alias syntax unsupported by npm 9 but required for Rspack compat2 minutes
- 129 of 1226 plain-Node test suites failed (10.5%) — mostly translation placeholder-audit failures due to changed Meteor/npm version strings, git-history-dependent changelog tests, and missing MongoDB/Meteor runtime for integration tests
- Install time
- 71 minutes
- Cold machine to finish
- 73 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- npm install via meteor npm succeeded; meteor test --once --driver-package meteortesting:mocha exited 0 with 527 passing server tests; dev server started on localhost:3000 answered HTTP 200; 1097/1226 plain-Node suites passed under Meteor-bundled Node 26
- Model tokens used
- 1,468,058
- Exact commit tested
- 0e77fbb9d9b3
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
Total minutes: 71
exec
/bin/sh -lc 'cd /work/repo && export PATH="$HOME/.meteor:$PATH" && TMPDIR=/work/repo/.tools/tmp && …
const r=require('"'./tests/run-node-suites.cjs');
const all = r.discoverSuites();
console.log('discovered:', all.length);
\" 2>&1" in /work/repo
succeeded in 0ms:
Now I have all the data I need. Let me produce the final report.
tokens used
1,468,058
Now I have all the data I need. Let me produce the final report.Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 71 minutes.
- Recovered from all 4 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
Run history
Topics (from GitHub)
docker-imagefossjavascriptkanbanmeteorreal-timesandstormsnapcraftwekan
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/wekan)Questions
- Does wekan run?
- Yes. wekan runs. Argusic installed and launched it on a clean machine in 71 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test wekan?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 0e77fbb9d9b3. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test wekan?
- The run that produced this verdict cost $0.28: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does wekan take to install?
- 71 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does wekan need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing wekan?
- 4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for wekan?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.