Ackee
Self-hosted, Node.js based analytics tool for those who care about privacy.
Runssource: GitHubhomepageJavaScriptMITcommit c9fe8f889e4f
JavaScript, MIT licensed. The project labels itself: analytics, google analytics, privacy and website analytics.
Ackee runs. An Argusic agent installed it in 12 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Project builds and all 184 tests pass using mongodb-memory-server; production server cannot start without an external MongoDB instance.
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, refreshed . 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.
- Node.js v18 found, project requires >=2410 minutes
- npm install-scripts policy blocked mongodb-memory-server postinstall1 minute
- Install time
- 12 minutes
- Cold machine to finish
- 11 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- Model tokens used
- 46,510
- Exact commit tested
- c9fe8f889e4f
- Container image
- sha256:4c3d41857be3
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.
- How the result was proved
- runs before 2026-09-07 did not record the command used to check the result
- 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.
46,510 That's fine. Let me clean up gently. Here's the summary: **Error #1: Node.js version mismatch** - **Error:** System had Node.js v18, but Ackee requires >= 24 - **Fix:** Installed Node.js v24.20.0 using the `n` version manager (`npx n 24` with `N_PREFIX=/hom… - **Time:** ~10 min **Error #2: mongodb-memory-server postinstall blocked** - **Error:** npm's install-scripts policy blocked the `mongodb-memory-server` postinstall script (w… - **Fix:** Ran `npm install-scripts approve mongodb-memory-server` - **Time:** <1 min No other errors encountered. All 184 tests across all test categories pass. The production server d…
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 12 minutes, faster than the median of the 12 comparable projects Argusic has measured.
- Recovered from all 2 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.
- Measured 2 times, so the result is not a one-off.
Of the 13 analytics projects Argusic has installed and timed, Ackee was the 4th fastest to reach a running state, and 10 of 13 reached one at all.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Ran out of time | 0.00 | 0.19 | |
| Argusic Runner | 1/3 | Runs | 100.00 | 0.04 |
Topics (from GitHub)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/ackee)Questions
- Does Ackee run?
- Yes. Ackee runs. Argusic installed and launched it on a clean machine in 12 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test Ackee?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit c9fe8f889e4f. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test Ackee?
- The run that produced this verdict cost $0.04: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does Ackee take to install?
- 12 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 Ackee need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing Ackee?
- 2 things broke in the recorded run, and 2 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does Ackee compare with the alternatives?
- Of the 13 analytics projects Argusic has installed and timed, Ackee was the 4th fastest to reach a running state, and 10 of 13 reached one at all.
- Where is the evidence for Ackee?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.