perses
The CNCF sandbox for observability visualisation. Already supports Prometheus, Tempo, Loki and Pyroscope - more data sources to come!
Runssource: GitHubhomepageGoApache-2.0commit f8484aa20d71
Go, Apache-2.0 licensed. The project labels itself: cncf project, dashboard, monitoring, observability and prometheus.
perses runs. An Argusic agent installed it in 16 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
The Perses API server (81M binary) launches on port 8080, health endpoint returns HTTP 200, native auth login returns a JWT token, API returns 3 projects and 17 dashboards from provisioning data, the Perses CLI (37M binary) responds to all commands, 24 Go test suites and 162 UI tests all pass
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.
- Go 1.27.1 not installed2 minutes
- Node.js v18.19.1 was too old (needs >=24)2 minutes
- Install time
- 16 minutes
- Cold machine to finish
- 20 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- go test ./internal/api/... exited 0, 24 suites passed; npm run test in ui/ exited 0, 162 tests passed (15 test files); curl http://127.0.0.1:8080/api/v1/health returned HTTP 200; curl POST /api/auth/providers/native/login returned access_token; curl /api/v1/projects returned 3 projects; curl /api/v1/dashboards returned 17 dashboards
- Model tokens used
- 106,637
- Exact commit tested
- f8484aa20d71
- 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.
/bin/sh -lc 'echo "Total time estimate: $(python3 -c "
import re, subprocess
# Parse the timestamps from our session to get a rough idea
# Start was around 18:00, last verification around 18:16
print('"'16')
\") minutes\"" in /work/repo
succeeded in 0ms:
Total time estimate: 16 minutes
All done. Here's the final report:
tokens used
106,637
All done. Here's 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 16 minutes.
- 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 Apache-2.0, as reported by its host.
- Measured 2 times, so the result is not a one-off.
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 | Runs | 100.00 | 0.24 | |
| Argusic Runner | 1/3 | Ran out of time | 0.00 | 0.15 |
Topics (from GitHub)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/perses)Questions
- Does perses run?
- Yes. perses runs. Argusic installed and launched it on a clean machine in 16 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test perses?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit f8484aa20d71. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test perses?
- The run that produced this verdict cost $0.24: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does perses take to install?
- 16 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 perses need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing perses?
- 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.
- Where is the evidence for perses?
- 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.