Is This Open-Source AI Project Still Alive? A 5-Minute GitHub Check Before You Self-Host It

I maintain a catalogue of open-source AI projects — 2,155 of them, across 17 categories — and the question I get asked most is not "which tool should I use?" It's "how do I know this project won't be abandoned six months after I build on it?"

Stars won't tell you. A repository with 40,000 stars can sit untouched for two years. What follows is the five-minute check I actually run, using nothing but the GitHub website. No API keys, no command line.

1. The last commit date — but read it properly

Open the repo. Right there on the file list, next to the top file, is the last commit's timestamp. That is your first signal, and it's a blunt one: a last commit from over a year ago is close to a verdict on its own.

But a commit from this week means almost nothing by itself. It could be a typo fix, a README tweak, or a bot bumping a dependency. So the date is a filter, not a pass mark. If it's old, stop here. If it's recent, keep going.

2. The shape of the commit graph, not the volume

Go to Insights → Contributors, then the commit history. What you want is cadence, not volume: a repo that gets a cluster of commits every few weeks is healthier than one that had a single burst of activity a year ago and nothing since. Look at the graph over the last year, not the last month — a healthy project has a rhythm, even if it's a slow one.

3. Releases tell you about discipline

Click Releases in the right sidebar. Two things matter: interval and honesty. Are releases coming out on some rhythm, or was the last tagged release years ago while commits keep landing on main? A project that tags releases is a project whose maintainers think about the people installing it, not just the code.

4. Open issues: the number lies, the trend doesn't

Everyone glances at the open-issue count and panics. Ignore the absolute number — a popular project always has hundreds. What matters is the ratio and the response time. Sort issues by "Recently updated" and "Newly created", then ask: are maintainers replying within a day or two, or have threads sat ignored for months? Use the search filter is:issue is:closed sort:updated-desc to see whether things actually get closed or just accumulate. A repo with thousands of open issues where maintainers still reply quickly is far more alive than one with a handful of issues that have all sat ignored for months.

5. Bus factor: the question that actually bites

Open Insights → Contributors and look at the distribution. If one person authored the overwhelming majority of commits and everyone else only fixed a typo, you have a bus factor of one: the project lives and dies with one human's free time, mood, and job situation. I don't treat single-maintainer projects as automatically disqualified — some are excellent and stable — but I do treat them differently. For anything I depend on, I want to see at least a few people who can merge, release, and answer.

6. The licence and the archived flag

Check the licence GitHub detected (MIT, Apache 2.0, AGPL — or nothing at all). "No licence" means you technically have no permission to use the code, whatever the README implies. And check the archived banner: an archived repository is read-only by its maintainers. It will receive no further updates, bug fixes, or security patches. Archived means done, full stop.

Worked example: two repos, checked today

I ran this check this morning (14 November 2026) on two projects from our catalogue, using the public GitHub API record as the source of truth:

Ollama (ollama/ollama) — 186,928 stars, last push today, 4,656 open issues, MIT licence, 19,080 forks, not archived. A big open-issue count on a project this size is normal; what matters is that pushes and releases keep landing.

llama.cpp (ggml-org/llama.cpp) — 134,954 stars, last push today, 2,606 open issues, MIT licence, 25,589 forks, not archived. Same picture: heavy traffic, steady maintenance, broad contributor base.

Both pass in under a minute each. The check isn't the hard part — remembering to run it before you install is.

The one exception: stable is not dead

A quiet repo can be finished, not abandoned. A small tool with no open bugs, a README that says "complete", and a maintainer who closes issues promptly has nothing left to commit — and that's fine. The signals that separate "finished" from "dead": closed issues with real answers, tagged releases, and a README that states the project's status honestly. If a repo's last commit is two years old and its issue tracker is a graveyard of unanswered questions, that's dead. If its last commit is two years old and there's simply nothing left to fix, that's done — and done is a perfectly good thing to self-host.

The routine, in one paragraph

Last commit date first. Then the shape of the commit graph over a year. Then release rhythm, issue response times, contributor spread, and the licence. Five minutes, six signals, no tools beyond the browser. Run it before you self-host anything you expect to still be running next year — the download you skip is the fastest one.

All repo figures checked 14 November 2026 against the projects' own GitHub records. LibreAI's catalogue — 2,155 open-source AI projects with licence, stars and activity checked — is at https://libreaihub.com/open-source-ai-statistics/