At a Glance
Allure TestOps
Allure TestOps is the commercial platform behind the open-source Allure Report format, and its test case management is genuinely deeper than ours: a shared step library, parameters for data-driven cases, version history of up to 10 versions per case with compare and restore, the AQL query language, bulk operations on up to 10,000 cases in Cloud and 50,000 self-hosted, and documented inbound migrations from Xray, Zephyr, TestIT, TestLink, TestRail and Qase. Its result analysis is mature too: automatic flaky marking, regex automation rules that link new failures to known defects, and configurable dashboards with automation-ratio and low-performing-test widgets. If your frameworks already emit Allure results, it is the shortest path from Allure Report to a real platform.
M00N Report
M00N Report's reporters send results straight to the server and push them to the browser over WebSockets, so live step-level updates need no allurectl watcher wrapping every CI command. Our MCP server reaches the whole data model, including bidirectional coverage gaps (cases with no automation, and autotests that no case owns) and a composite 0-100 release health score, so your own AI assistant can do the triage. Cloud and self-hosted are both $25 per user per month, there is a free tier, and the self-hosted stack is a single Docker Compose file rather than two PostgreSQL databases plus RabbitMQ, Redis and MinIO.
Pick Allure TestOps if you already live in the Allure ecosystem or need heavyweight case authoring (shared steps, parameters, versioning, AQL); pick M00N Report if you want live results without a CLI sidecar, far wider AI agent access to your data, and a lower price with a free tier.
Real-Time Reporting
| Feature | Allure TestOps | M00N Report |
|---|---|---|
| Results visible during the run | YesReal-time by design, via an allurectl watch sidecar that wraps the test command and uploads result files as they appear | YesReporters send results as they finish, no CLI sidecar |
| Step-by-step live updates in the browser | PartialLaunch updates as files upload | YesSteps, retries, screenshots and videos as they happen |
| Automatic screenshots, videos, traces | YesVia Allure result attachments | YesAutomatic from Playwright, with trace files |
AI and MCP
| Feature | Allure TestOps | M00N Report |
|---|---|---|
| AI agent runs a manual test execution | NoThe 13-tool MCP covers cases, shared steps, AQL search and mutes, not manual run results | YesThe run_manual_execution prompt walks the agent through it: read each case step, exercise it against the app, write pass/fail back per step with an issue note. Case and group statuses derive themselves. Included on every plan, cloud and self-hosted. |
| Built-in flaky detection and run analytics | YesAutomatic flaky marking (3+ status transitions in the last 10 runs), regex automation rules that auto-link failures to known defects, trend and low-performing-test dashboard widgets | YesAutomatic flaky detection, duration trends, slowest tests, stale run detection |
| Official MCP server for AI agents | YesBuilt-in, open beta since March 2026, 13 tools; may carry additional fees later per their docs | YesThe full data model, reading and writing, no separate AI add-on |
| Coverage-gap and release-health analysis | PartialAutomation-ratio widgets (Test Case Pie Chart, Automation Trend, Test Case Tree Map); no reverse coverage gap or composite health score documented | YesCoverage gaps in both directions including autotests no case owns, plus a composite 0-100 health score, readable by your own AI assistant over MCP |
Test Case Management
| Feature | Allure TestOps | M00N Report |
|---|---|---|
| Manual cases, custom fields, tags, attachments, CSV import | YesManual and automated share one data model; CSV import with column mapping | YesRich-text steps, custom fields, tags, dependencies, folder and suite tree, CSV import wizard |
| Shared step library, parameters, case version history | YesReusable shared steps, parameters for data-driven cases, up to 10 restorable versions per case, AQL, bulk edits to 50,000 cases | NoNot available today |
| Automated cases auto-synced from results | YesSmart Test Cases update from run results | YesAutomated tests link natively to manual cases |
Deployment and Pricing
| Feature | Allure TestOps | M00N Report |
|---|---|---|
| Cloud and self-hosted offered | YesCloud from $39 per user/month; self-hosted $39 per user/month, 3-month minimum | YesBoth at $25 per user/month |
| Lightweight self-hosted stack | PartialCompose stack needs two PostgreSQL databases, RabbitMQ, Redis, MinIO; Kubernetes recommended for production | YesCompact Docker Compose stack |
| Free tier | NoTrial only; the open-source Allure Report is free, but TestOps itself has no free plan | Yes3 members, 1 project, no credit card |
Pricing
Allure TestOps
Cloud at $39 per user/month for 1 to 30 users, stepping down to $30 at scale, with a 10% annual discount. Self-hosted (Server) at $39 per user/month for the first 5 to 50 users, minimum 5 users, with a 3-month minimum term; licenses are per registered named user.
Source: official pricing page (as of 2026-07-21)M00N Report
Free tier for small teams (no credit card); Team at $25 per user/month or $250 per user/year. Self-hosted is a plan at the same per-user price, not an enterprise upcharge.
See full pricingWhen Allure TestOps is the better fit
- Your frameworks already emit Allure results - TestOps is the natural upgrade from Allure Report.
- You need its TCM depth: shared steps, case versioning, AQL queries, bulk operations on tens of thousands of cases.
- You want a mature Kubernetes-first self-hosted deployment with an official Helm chart.
When M00N Report is the better fit
- Your regression pass is manual and repetitive: an AI agent can run the execution case by case, writing pass/fail back per step with an issue note, and leave the same evidence a human tester would.
- You want results streamed by the reporter itself, without running an allurectl sidecar in every CI job.
- You want your AI assistant to work the platform directly: 50+ MCP tools over runs, cases, coverage and releases, versus 13 tools in public beta on their side that the docs warn "may be subject to additional fees in future releases."
- You want a lower per-user price ($25 vs $39) and a free tier to start on.
- You want a self-hosted stack you can bring up with one Docker Compose file.
Switching from Allure TestOps
Export your test cases from Allure TestOps to CSV and import them into M00N Report with the field-mapping wizard, or let an AI assistant recreate them through the MCP server from Markdown. Then replace allurectl and the Allure listeners with the published M00N Report reporters (Playwright, Jest, JUnit, pytest, NUnit) - results stream from the next run with no upload step in the pipeline.
Bottom Line
Allure TestOps is the better product for a large automation-heavy QA organisation that already emits Allure results. Its case management is deeper than ours in ways we do not paper over: shared steps, parameters, version history with restore, AQL, and bulk edits at 50,000-case scale are real features we do not have, and its inbound migration tooling from other TMS vendors is documented while ours is not. Its Kubernetes deployment with an official Helm chart is more battle-tested than ours at that size, and its analytics already cover flaky marking, trends and slow tests. If any of that describes you, buy Allure TestOps and do not let a comparison page talk you out of it. Where we win is narrower and more specific: results reach the browser step by step from the test process itself with no allurectl wrapper in the pipeline, our MCP surface covers the full model versus their 13 tools in public beta with a documented warning that it may carry additional fees later, coverage analysis runs in both directions rather than as an automation-ratio widget, and the price is $25 against $39 with a free tier and no five-seat or three-month minimum. Smaller teams and teams that want an AI assistant to actually operate the platform are the ones who should choose us.
Frequently asked questions
Can an AI agent actually run my manual test cases?
In M00N Report, yes. The manual run itself is exposed over MCP: the agent reads each case step as data, exercises it against your app with its own tooling such as a browser MCP, and writes pass or fail back per step, with case, group and execution statuses deriving themselves. It fits regression passes and exploratory sessions, and a human can take over the same run mid-way. The Allure TestOps MCP covers cases, shared steps, AQL search and mutes across 13 tools, not manual run results.
Is M00N Report an Allure TestOps alternative?
Yes - both unify manual and automated testing with live results. Allure TestOps wins on Allure ecosystem continuity and TCM depth; M00N Report wins on full-access MCP tooling, built-in analytics, price and operational simplicity.
How do the prices compare?
Allure TestOps starts at $39 per user/month (cloud or self-hosted, named users, 3-month minimum on server). M00N Report is $25 per user/month for cloud or self-hosted, with a free tier and no minimum term.
Does Allure TestOps have AI features?
No. Through release 26.2.2.2 (8 July 2026) their release notes list no AI assistant or AI generation; what they do have is automatic, rule-based analysis (flaky marking, regex defect matching) and a built-in MCP server in public beta with 13 tools, which the docs warn may carry additional fees in future releases. M00N Report is the same shape: no LLM inside the product, statistical analytics plus an MCP server with full data access, so your own assistant does the reasoning.
Do I need allurectl with M00N Report?
No. M00N Report reporters send results directly from the test process over the network - there is no watcher CLI or result-file directory to manage.
Facts verified on 2026-07-21. Spotted something outdated? Tell us on Discord.