karpor
Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams.
Runs with mockssource: GitHubhomepageGoApache-2.0commit 7ac7c795ff47
Go, Apache-2.0 licensed. The project labels itself: cloud native, hacktoberfest, k8s sig multicluster, kubernetes, kubernetes dashboard, kubernetes visualization tool, kubernetesdashoard and multi cloud.
karpor runs, with stand-ins for the services it depends on. An Argusic agent installed it in 17 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Karpor binary builds and runs; its API server responds OK on /healthz, /livez, and /readyz over HTTPS; 25 Go test packages all pass; a mock in-memory search storage backend replaces the Elasticsearch dependency for development.
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 92 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.
- Only Elasticsearch search storage type supported — none configured, server refused to start6 minutes
- etcd not available for persistence backend3 minutes
- Go compiler not installed2 minutes
- Service account signing key file required but not provided1 minute
- Install time
- 17 minutes
- Cold machine to finish
- 21 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- go test -count=1 -gcflags=all=-l -timeout=10m on ./pkg/... excluding generated/handler/server/elasticsearch packages, 25 ok, 0 failed; /tmp/karpor --version printed 'default-version'; server started on :8443 with curl -sk https://127.0.0.1:8443/healthz returned 'ok', livez returned 'ok', readyz returned 'ok'
- Model tokens used
- 113,898
- Exact commit tested
- 7ac7c795ff47
- 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
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
ok github.com/KusionStack/karpor/pkg/util/certgenerator 1.241s ok github.com/KusionStack/karpor/pkg/util/clusterinstall 0.012s ok github.com/KusionStack/karpor/pkg/util/ctxutil 0.007s ok github.com/KusionStack/karpor/pkg/util/jsonpath 0.006s ok github.com/KusionStack/karpor/pkg/util/proxy 0.004s ok github.com/KusionStack/karpor/pkg/util/safeutil 1.004s ok github.com/KusionStack/karpor/pkg/util/sql2es 0.005s ok github.com/KusionStack/karpor/pkg/util/topology 0.005s Here's the final report: tokens used 113,898 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
- Installed in 17 minutes, faster than the median of the 3 comparable projects Argusic has measured.
- Recovered from all 4 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed Apache-2.0, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 4 cloud-native projects Argusic has installed and timed, karpor was the 2nd fastest to reach a running state, and 1 of 4 reached one at all.
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 | 1/3 | Runs with mocks | 92.00 | 0.09 |
Topics (from GitHub)
cloud-nativehacktoberfestk8s-sig-multiclusterkuberneteskubernetes-dashboardkubernetes-visualization-toolkubernetesdashoardmulti-cloudmulti-clusterobservabilityvisualization-tool
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/karpor)Questions
- Does karpor run?
- karpor runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 17 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test karpor?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 7ac7c795ff47. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test karpor?
- The run that produced this verdict cost $0.09: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does karpor take to install?
- 17 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 karpor need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing karpor?
- 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.
- How does karpor compare with the alternatives?
- Of the 4 cloud-native projects Argusic has installed and timed, karpor was the 2nd fastest to reach a running state, and 1 of 4 reached one at all.
- Where is the evidence for karpor?
- 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.