opsfolio

opsfolio / qualityfolio

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AI-native test management for QA engineers, SREs, and DevOps teams. From unit tests to chaos experiments: unified in Markdown, validated in SQL. Built for regulated industries where accountability, traceability, and structured evidence are essential.

qualityfolio.dev
23
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100% credibility
Found Feb 06, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Qualityfolio is a framework for writing human-readable tests in Markdown that generates structured databases and interactive dashboards for metrics, traceability, and test management.

How It Works

1
🔍 Discover Qualityfolio

You find Qualityfolio, a simple way to organize and track your tests using everyday writing like notes and lists.

2
📥 Get ready quickly

Download a couple of helper programs that make everything work smoothly, just like installing a new app.

3
✍️ Write tests naturally

Create test files using familiar headings, checklists, and notes to describe what needs checking, feeling just like writing a document.

4
🔧 Build your test collection

Run a quick build to turn your notes into a neat, searchable collection of tests with all the details organized.

5
📊 Launch the dashboard

Open a web page on your computer to see charts, progress trackers, and connections between tests and results.

🎉 Track quality effortlessly

Enjoy full visibility into your tests, who did what, pass/fail rates, and improvements over time, all in one easy spot.

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AI-Generated Review

What is qualityfolio?

Qualityfolio lets QA engineers, SREs, and DevOps teams write tests—from unit tests to chaos experiments—in plain Markdown files stored in Git. It parses them into a SQLite database validated by SQL, generating dashboards with metrics, traceability matrices, and audit-ready evidence. Built in Python with Deno runtime, Spry orchestration, and Surveilr ingestion, it unifies fragmented test docs, screenshots, and results for regulated industries demanding accountability.

Why is it gaining traction?

Its schema-free approach means you start with simple Markdown headings and scale to six-level hierarchies without rewriting files—roles like project, suite, or case apply at query time. Git-native versioning and auto-discovery hook developers tired of rigid tools, while the built-in dashboard delivers instant traceability from requirements to results. A VS Code extension adds CodeLens for running blocks and editing evidence YAML directly.

Who should use this?

QA engineers in regulated industries tracking test cycles with assignee, status, and issue links; SREs running chaos experiments needing immutable evidence trails; DevOps teams unifying manual and automated ai-native testing across environments. Ideal for those enforcing traceability without proprietary platforms.

Verdict

Promising for ai-native test management emphasizing evidence and accountability, but at 18 stars and 1.0% credibility, it's early-stage—docs are solid with demos, but expect setup friction with Deno/Spry dependencies. Try the live dashboard if traceability in Markdown appeals; skip if you need battle-tested scale now.

(198 words)

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