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    Features

    Everything between a test run and a software release

    TestLookup is free, open-source test intelligence for software teams, and it runs on your own servers. It collects the results of your automated software tests, explains why tests fail, spots flaky tests, and helps you decide whether a release is ready to ship. Each of the 12 areas below has its own page, with screenshots.

    Get startedTry the demo

    Get results in

    Send results from any test framework or continuous integration (CI) system, and send the answers back to your build pipeline.

    • Runs table for 13 test runs, showing each run's number and suite, failure signature, status, AI verdict, test counts, pass rate and timing.

      Collect results

      Read 11 test report formats, receive live results while tests run, and keep the CI details of every run.

    • Five analysis pipeline runs for run 60: a deep pipeline in progress with a Stop button, two failed runs with Retry buttons, one completed but marked Degraded because some steps fell back to simpler answers and awaiting review, and one that passed and was reviewed.

      CI pipelines and automation

      Each run links back to its CI job and pull request, in five CI systems. TestLookup finds the build where a test first failed, and automatic actions wait for a person's approval. If TestLookup can't answer, your build fails instead of passing by mistake.

    • Integrations

      Connect GitHub, GitLab, Jira, Slack and Microsoft Teams, or your own systems through webhooks. Use the command-line tool, code libraries for your test runners, or an MCP server for AI assistants.

    Understand every failure

    Rules, a model trained on your team's labels and an optional AI model work together. People make the final decisions.

    • Top failing tests for an e-commerce project, with a 14-day strip that has a failing run every day and three tests: test_legacy_discount_calc and test_payment_capture marked Product with a repeat-failure signal, and test_checkout_completes marked Infrastructure and flaky at a 43% flake rate, each with its failure count, when it last failed, and Mute, Jira and Suspects actions.

      Failure analysis

      See failures grouped by cause and sorted by kind, and check how each answer was reached. Keep flaky tests, the ones that pass and fail at random, under control.

    • What changed between two analyses of the same test run: the engine moved from rules to an AI language model, the run's verdict from Conditional GO to NO-GO, two failure groups changed size, and two tests were reclassified with higher confidence.

      AI you control

      Use a local or hosted AI model, and pay for a larger model only when it's needed. Search your own data on your own network, and check every AI answer.

    • Inbox agent actions: proposals to quarantine a flaky test, reassign a failure and ship behind a flag, each with Approve and Reject, and a reject dialog asking for a reason.

      AI agents

      Automated helpers analyze every run, and the Investigator proposes actions. Three trust levels decide what a helper may do, and people approve its actions.

    Decide and ship

    Plan software releases, follow the trends, and keep test cases next to the results that prove them.

    • Release gate card for one test run: a NO GO recommendation at a 44.4 percent pass rate, a risk score of 60, and an Override decision button.

      Release management

      Plan releases in phases on a calendar. Each release gets a GO or NO-GO verdict with its evidence, or Not evaluated when too few tests have results. Every override needs a written reason.

    • Pass rate trend over 14 days at 89.3% overall: the daily pass rate between 81% and 94% as a line over daily execution bars, a dashed GO line at 95%, a shaded No-Go band below 90%, and the chips Trend falling 3.3 pts per week and Last 7 days 87.5% vs 91.1%.

      Dashboards and reports

      Follow pass rate against your target, explore any measure, get insights on what changed, and export summary reports.

    • Test library insights: library health 81 of 100 (needs attention), automation at 47 percent against a 60 percent target, a review queue of two cases keyed TC-BBB3F0 and TC-340B56, four recent edit and review-request events, and a 7 automated, 8 manual coverage bar.

      Test management

      Keep test cases, suites and plans beside the test results that prove them, and see the health of your test library.

    Teams, control and hosting

    Send work to the right people, prove who did what, and run TestLookup on servers you control.

    • Update triage status dialog for a failing test with options: reviewed and approved, defect created, automation script issue, flaky test, and won't fix.

      Ownership and collaboration

      Each failure goes to its owner, and each person gets an inbox to work through. See each test's history run by run, and handle approvals in one list.

    • Personal data dialog for a test user: export the person's data, and a preview of deleting it that lists what changes, which audit records are kept under GDPR Article 17(3), and open items a lead may reassign, with a typed confirmation.

      Governance and audit

      Keep an activity log of every change. Use roles, single sign-on, holds on data deletion, personal-data requests and signed evidence for auditors.

    • Export project data card with an Include run history option for the last 90 days and an estimate of size, runs, documents and attachments.

      Self-hosted and secure

      Run it on your own servers, offline by default. You get single sign-on, two-step sign-in, holds on data deletion and signed exports.

    Also included

    Details that make day-to-day work smoother.

    • Live view

      Watch results and pass rate update while your tests run, next to a feed of analysis events.

    • All Projects

      Administrators, and anyone in 2 or more projects, can see combined dashboards and trends. They also see value metrics: the estimated engineer-hours saved.

    • Ask AI

      Ask questions about a project's test results in plain language, once an AI model is set up.

    • Search

      Search by keyword, by meaning, or both. Save your searches and find similar failures.

    • Reports and sharing

      Export PDF and spreadsheet reports, share links that expire, and schedule summaries by email or chat.

    • Expected runs

      Find out when a nightly or CI run doesn't arrive. TestLookup only watches for it and changes nothing in your CI.

    See it with your own results

    Start TestLookup on your own computer with sample data in one command, then send it your own test reports.

    Get startedTry the demo