Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 30 Sep 2026, 25 days before this check.
Latest release v0.36.10 on 30 Sep 2026.
Public since June 2026, 4 months.
13 stars and 1 forks.
4 commits and 4 new issues in the last 90 days.
1 contributor. No pull requests merged in 90 days; changes go in directly. A small team carries it.
No security policy file says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This program cleans out your email inbox. It deletes or moves junk mail using a set of rules or artificial intelligence. You can run it on your own computer so your data stays private. It gives you a choice between a command line and a web page in your browser. The tool is free, but you may pay for cloud artificial intelligence services if you choose to use them.
What it is
A Python-based utility with a command-line interface and an optional web dashboard for filtering and bulk-managing IMAP mailboxes. It supports local models via Ollama or remote cloud models through litellm to classify and remove unwanted messages.
What it is good for
Solo builders and power users who want to clear out thousands of unwanted newsletters and spam messages from Gmail or other IMAP mailboxes without writing custom scripts.
- Runs on Windows, Linux, and macOS.
- Includes both a command-line tool and a local web browser interface.
- Supports privacy-friendly local artificial intelligence models via Ollama.
- Requires technical setup for virtual environments and Python dependencies.
- Deleting emails is destructive if you do not use dry-run mode first.
- Running cloud artificial intelligence models incurs external API costs.
manual inbox cleanup and custom mail sorting scripts
ollama
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python3 -m venv .venv source .venv/bin/activate pip install "imap-cleanup-tool[web,ai]" imap-cleanup-tool-web