Argos vs Tesults

Argos is a visual testing platform that stores screenshots uploaded by a team's test suite, compares them across builds, and supports review of visual changes. Argos does not connect to applications to capture screenshots. It can also diff Markdown, JSON, HTML, CSS, JavaScript, XML, YAML, and plain text. Integrations include Playwright, Cypress, Storybook, WebdriverIO, its CLI, or any framework, alongside GitHub Actions and deployment providers such as Vercel, Netlify, and Cloudflare. Teams can connect GitHub, GitLab, Slack, Discord, and Microsoft Teams. For agent workflows, Argos offers a remote MCP server, CLI workflows, and a REST API for inspecting diffs, reviewing builds, collaborating, and deploying previews. The Hobby Plan is free, billed forever, and includes up to 5,000 screenshots with 30-day retention. Pro costs $100 a month, billed monthly based on usage, and includes 35,000 screenshots and one-year retention. Argos says its SDKs and platform are open source and MIT-licensed, and that it is SOC 2 Type II and GDPR compliant.

Tesults combines automated test reporting with test case management for engineering teams. It stores results together with logs, screenshots, and other files, then compares runs for regressions and flags tests that may be flaky. Manual QA teams can create cases, import or export CSV files, and assign runs to members. Integrations include GitHub Actions, Slack, Microsoft Teams, Mattermost, PagerDuty, and Jira. Listed framework connections span JUnit, pytest, Jest, Playwright, Cypress, Postman, GoogleTest, ROS 2, and many others. API endpoints provide run explanations, flaky-test identification, and run comparisons; an MCP server supports querying test data with compatible AI tools. Mobile apps provide result and dashboard access on iOS and Android, alongside web and API platforms. The free plan costs nothing and includes 30 days of automated history, 100 test cases per run, and five targets. Standard is $19 a month when billed yearly per active user. Data is stored in US AWS data centers.