Software Lifecycle
Intelligence
Every product in your stack is on a clock. Operating systems, language runtimes, frameworks, databases — each version has a date after which its maintainer stops shipping security patches, and that date is published somewhere different for every one of them. Software lifecycle intelligence is the layer that pulls all of those clocks into one place: which versions you can still rely on, which are about to expire, and how dangerous the expired ones actually are. That's what endoflife.ai is built to be.
What the Intelligence Layer Covers
A lifecycle management tool is only as useful as its coverage. endoflife.ai tracks 480+ products — Linux distributions, Windows and macOS, language runtimes like Node.js, Python, PHP, and Java, frameworks from Rails to Angular, databases from PostgreSQL to MongoDB, and infrastructure tooling like Kubernetes and Terraform — with release and end-of-life dates for every tracked version, built on open data from endoflife.date.
You can consume that coverage three ways: look up a single product in the EOL Checker, browse the full product index, or query everything programmatically through the API.
Scoring Risk, Not Just Listing Dates
A date tells you that support ended. It doesn't tell you whether the version is a quiet liability or an active target. The EOL Risk Score is a 0–100 benchmark that answers the second question, built from four weighted factors:
| Factor | Max Points | What It Measures |
|---|---|---|
| EOL Recency | 40 | How long the version has been past end of life — unpatched exposure compounds over time |
| Attack Surface | 30 | How exposed the product typically is — internet-facing software carries more risk than isolated tooling |
| CISA KEV Exposure | 20 | Whether the product family appears in CISA's Known Exploited Vulnerabilities catalog |
| Extended Support Availability | 10 | Whether a paid patch stream exists as a fallback — no fallback means higher stakes |
The result: two products that went EOL on the same day can score very differently, which is exactly what you need when deciding what to migrate first.
Putting Lifecycle Data in Your Pipeline
Intelligence you have to remember to check isn't intelligence — it's a bookmark. The platform is built to run against your actual stack:
- Stack ScannerUpload or paste a
requirements.txt,package.json,Gemfile, orcomposer.jsonand the scanner returns a lifecycle report for every recognized dependency — EOL, warning, or active. - APIThe free API serves EOL dates and Risk Scores for all 480+ products — 500 requests per day on the free tier — so lifecycle checks can live in CI/CD, dashboards, or an internal inventory job instead of someone's calendar.
- Monthly EOL DigestA once-a-month email covering critical upcoming end-of-life dates and lifecycle changes worth knowing about. Sign up at the bottom of this page.
And when the intelligence surfaces something already past EOL, the path forward is on this site too: the EOL management process walks through migrate-vs-bridge decisions, and the extended-support market overview explains what paid patch coverage exists if you need time.
See where your stack stands
Look up any of 480+ products and get dates, status, and a risk score in seconds.
Frequently Asked Questions
What is software lifecycle intelligence?
The practice of knowing, for every product and version in your stack, where it sits in its support lifecycle — when security patches stop, how risky the version is once they do, and what your options are. It turns scattered vendor lifecycle pages into one continuously updated data layer you can query, scan against, and act on.
How many products does endoflife.ai track?
480+ products across operating systems, languages, frameworks, databases, and infrastructure tooling — with release and end-of-life dates for each version, built on open data from endoflife.date.
What is the EOL Risk Score?
A 0–100 benchmark for the risk of running a specific end-of-life version, built from four weighted factors: EOL recency (40 points), attack surface (30 points), CISA KEV exposure (20 points), and extended-support availability (10 points).
Is there an API for lifecycle data?
Yes. The endoflife.ai API serves end-of-life dates and EOL Risk Scores for 480+ products, with a free tier of 500 requests per day, so you can wire lifecycle checks into CI/CD, dashboards, or internal tooling.