
RunBoth
Actively maintained
143 installs/mo
Emerging
- For
- Python developers checking whether a refactor or commit changed behaviour, especially without a test suite
- Activity
- Actively maintainedrelease 5 weeks ago · site updated 6 weeks ago
- Used for
- compare old and new function versions on generated inputs
- catch callers broken by a changed helper function
- check LLM-written refactors preserve behaviour before committing
- Has an MCP server (1 in the registry)public registry →
- Publishes llms.txt, a file written for AI assistantsrunboth.dev ↗
- Privacy policy updated2026-09-13privacy policy ↗
These are RunBoth's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP serverdev.runboth/agentverified in the MCP registry
- Stateanswers, 3 toolschecked 2026-10-15
- Address to connectrunboth-agent-mgbxvs4loq-uc.a.run.app/mcp
This card as JSON, for your agent →
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
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Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use RunBoth for?
Sign in to leave a noteWhat is RunBoth?
Runs both versions of a Python refactor on generated inputs and reports which functions behave differently. It is listed in the Atlas under Developer tools.
Who is RunBoth for?
Python developers checking whether a refactor or commit changed behaviour, especially without a test suite
Do people use RunBoth?
Emerging: 143 installs/mo (pypi).
Is RunBoth still maintained?
Actively maintained: release 5 weeks ago · site updated 6 weeks ago.
What are alternatives to RunBoth?
In Developer tools, by use: TestMu AI (Formerly LambdaTest), Drizz, Mabl, Ito, Logic, Inc., Shift-Left API.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk
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