Predictive dependency intelligence
Know which packages are dying — 60 days before they do.
DriftLogg monitors every open source dependency in your codebase and predicts abandonment before it becomes a production incident. Stop firefighting. Start planning.
moment
2.29.4
request
2.88.2
lodash
4.17.21
The problem
Your dependencies are decaying. You just don't know it yet.
90% of modern software runs on open source. A meaningful fraction of those packages will lose their maintainers this year — silently. By the time your build breaks or your security scanner fires, the optimal window for low-cost migration has already closed.
You find out too late.
A failed build. A CVE alert. A broken upgrade path. These are lagging indicators that arrive long after the cheapest fix window has closed.
Migration debt compounds.
A 2-week migration this quarter becomes a 3-month rewrite in 18 months. Every deferred decision costs exponentially more.
No signal, no warning.
Existing tools flag known CVEs reactively. None model the 60–90 day window when maintainer decay is still reversible.
How it works
From connection to insight in under 60 seconds.
Install GitHub App
One-click installation. Read-only access to your manifest files only. No source code, no secrets.
Select your repos
Choose which repositories to monitor — individual repos or your entire org. Monorepo support included.
We scan and score
DriftLogg reads your dependency manifests, collects signals from 8 external sources, and runs our XGBoost survival model.
Get your risk dashboard
A ranked board of every dependency scored 0–100. Critical packages surface first. Migration recommendations included.
Features
Everything engineering teams need to stay ahead of dependency rot.
60–90 day survival forecast
Our XGBoost model predicts package abandonment probability before the signals become obvious.
GitHub App integration
One-click read-only connection. Supports monorepos, multiple manifest formats, and org-wide scanning.
Threshold alerts
Configure SPS drop thresholds per org. Get notified in Slack, email, or JIRA the moment a package crosses your line.
Migration recommendations
When a package falls, DriftLogg surfaces ranked replacement packages with estimated migration effort.
Signal breakdown
Six weighted signal categories — commit velocity, maintainer activity, funding, issues, community, security — visualized per package.
Security hygiene tracking
Days since last release, CVE age, and OSSF Scorecard delta tracked continuously alongside health signals.
Your command center
See every risk, ranked and ready to act on.
A single view of every dependency in your stack — sorted by survival probability, with migration paths surfaced automatically.
| Package | Ecosystem | Trend | SPS | Tier |
|---|---|---|---|---|
| moment | npm | 11 | Critical | |
| request | npm | 17 | Critical | |
| node-sass | npm | 32 | At risk | |
| rxjs | npm | 38 | At risk | |
| express | npm | 67 | Watch | |
| lodash | npm | 84 | Healthy |
How we compare
Built for prediction, not reaction.
| Feature | DriftLogg | Snyk | Dependabot | OSSF Scorecard |
|---|---|---|---|---|
| Predictive abandonment score | ||||
| 60–90 day survival forecast | ||||
| Migration recommendations | partial | partial | ||
| Known CVE detection | partial | |||
| Maintainer activity signals | ||||
| Funding gap detection | ||||
| Slack + JIRA alerts | partial | |||
| OSSF Scorecard integration | partial |
Comparison based on publicly available feature documentation as of March 2026.
Start protecting your stack today.
Free for one repo. No credit card. GitHub App installs in 60 seconds.