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World desk7 min

Nobody Left to Fix It: How to Measure Whether a Software Dependency Is Maintained

A quiet repository is not proof of abandonment. Learn how to assess dependency maintenance through multiple signals, tool limitations, and a reproducible review record.

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There is no reliable number of quiet days that proves a software dependency is abandoned. Make a defensible estimate by checking several independent signals over a stated time window: meaningful development, releases and announcements, maintainer continuity, security response, dependency freshness, and repository practices. Record what you found and what you could not verify; treat the result as a risk assessment, not a verdict based on one score.

What does “maintained” mean for a dependency?

A dependency is maintained when someone responsible for it is still able and willing to address relevant changes, defects, security issues, and compatibility needs. That does not necessarily mean frequent commits. A stable library may need few changes, while a busy repository may mostly contain automated updates rather than evidence of human ownership.

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The OpenSSF Best Practices Working Group’s Concise Guide for Evaluating Open Source Software, published March 28, 2025, says, “Unmaintained software is a risk; most software needs continuous maintenance.” Its checks—including meaningful activity and releases in the previous 12 months—are prompts for evaluation, not a universal definition of abandonment. A quiet year is a reason to investigate in context, not proof by itself.

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Maintainer count also needs context. More than one active maintainer can improve resilience, but a single maintainer is not automatic evidence of neglect: OpenSSF notes that some widely used projects have one. Look for whether responsibility is visible, whether a handover has occurred, and whether there is a credible path for fixes.

How can you tell if an open-source dependency is abandoned?

Start with the exact package and version your application uses, then assess converging evidence. The same project can have a healthy current branch but an unsupported older release, or an active source repository whose published package is stale.

1. Verify the package and its source

Resolve the registry entry to the project’s official source repository. Confirm that it is not a similarly named fork, and note the exact version in your dependency tree. Begin with direct dependencies; inspect transitive dependencies too when your inventory and available metadata support it. Google Open Source Insights’ deps.dev documentation describes dependency graphs, package properties, version comparisons, and security advisory information.

2. Choose a review window that fits the project

State the period you examined and why it makes sense for the dependency’s release cadence and your exposure. The OpenSSF guide uses the previous 12 months as a recent-activity screening prompt and asks readers to consider the last release. Do not silently convert that prompt into a universal inactivity threshold: the reviewed guidance does not establish one.

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3. Examine independent signals

  • Development: Check meaningful commits, tagged releases, and whether changes address maintenance needs or consist mainly of automated noise. A commit count without context can mislead. OpenSSF’s evaluation guide
  • Communication: Look for maintainer announcements, project-status statements, and responses to issues or pull requests. Silence on one thread is weaker evidence than a pattern across channels. OpenSSF’s evaluation guide
  • Capacity and continuity: Identify current maintainers, signs of a handover, and whether essential knowledge or publishing access appears concentrated in one person. Treat a single maintainer as a resilience concern to assess, not a failure by itself. OpenSSF’s evaluation guide
  • Security response: Check known advisories, security contact or disclosure instructions, timing of fixes, and whether versions you use receive security updates. Verify vulnerability status separately; low activity is not itself a vulnerability. OpenSSF’s evaluation guide and deps.dev documentation
  • Project practices: Review dependency updates, tests, branch protection, secure-development practices, and security documentation. These can indicate how a project manages risk, but they do not prove someone will respond to a future problem. OpenSSF’s evaluation guide, OpenSSF Scorecard, and OSPS Baseline, version dated August 28, 2026
  • Downstream fit: Test whether the package still works with the runtimes and neighboring dependencies you support, and establish how much of your application relies on it. A project can be quiet yet usable today while becoming incompatible as its environment changes.

4. Interpret silence and apparent activity in context

Count evidence by substance, not volume. Many bot commits can coexist with no human ownership; a stable library can remain useful without frequent releases. An explicit archived or sunset notice is stronger evidence than a quiet repository. A prolonged lack of meaningful activity combined with stale releases, unanswered maintenance issues, or no apparent security support is more concerning than any one of those signals alone.

What can dependency-health tools establish?

Tools can make evidence easier to find, but their coverage and purpose differ. Use them to direct inspection, not to certify that a package is maintained or abandoned.

Tool or resource What it documents What it does not establish
OpenSSF Scorecard Security-related heuristic checks, with individual check scores from 0 to 10. Its documentation warns of false positives and false negatives and says it is not a definitive report or a one-size-fits-all solution. An aggregate score is not a maintainer-status certificate.
Google Open Source Insights (deps.dev) Dependency graphs, package properties, version comparisons, vulnerability information, an API, and a public BigQuery dataset. Its documented package ecosystems are Cargo, Go, Maven, npm, NuGet, PyPI, and RubyGems; it indexes GitHub, GitLab, and Bitbucket project hosts and OSV advisories. Coverage is service-specific and can change. Missing information is not evidence of inactivity unless the registry, host, and package are within the service’s coverage.
OpenSSF OSPS Baseline Project security controls, including public change records and direct dependency lists where package management supports them. Meeting or assessing controls does not show that a package is actively maintained.
OSPS Baseline maintainer guidance Names LFX Insights for automated metric reporting and Privateer for some automated Baseline checks. Automated project-control checks are not proof of ongoing maintenance or future response.

The Scorecard project documentation explicitly states, “Scorecard is not intended to be a one-size-fits-all solution.” Read the underlying checks and their limitations instead of treating one number as a decision. Likewise, check deps.dev’s documented coverage before interpreting absent results.

How should you label the result?

Use categories as your own operational shorthand, not as standardized ratings. The sources reviewed do not define universal thresholds for these labels, so attach observations, dates, and confidence to every assessment.

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  • Active evidence: Recent meaningful maintenance or releases, credible maintainer communication, and an observable path for security or compatibility fixes support continued activity. This label describes evidence found in your window, not a guarantee of future support.
  • Uncertain: Signals are mixed, sparse, or difficult to verify—for example, little visible change but some maintainer communication, or activity on a source repository that does not clearly match the package version in use.
  • Likely unmaintained: Several signals point in the same direction, such as a long period without meaningful activity, stale releases, no maintainer response or support path, or an explicit archive or sunset notice.

Keep security status separate from maintenance status. Check advisories and response records even when a project appears active, and do not infer a known vulnerability solely from inactivity.

What should you record so another engineer can reproduce the assessment?

A short review record makes uncertainty visible and helps teams compare dependencies consistently. Record:

  • Package name, exact version, package registry, and verified source repository.
  • Whether it is a direct or transitive dependency and, where known, its role in the application.
  • The observation window and date of review.
  • Sources checked and findings for activity, releases, communication, maintainer continuity, security response, project practices, and downstream compatibility.
  • Gaps in visibility, including tool coverage limits or unavailable information.
  • Your category, confidence, and the evidence that most influenced it.
  • Any follow-up decision, such as monitoring, replacing the package, or evaluating internal ownership.

The OSPS Baseline version dated August 28, 2026 calls for publicly readable change records and direct dependency lists where supported. Those records help establish what changed and what a project depends on; they are useful project controls, not a substitute for evaluating its maintenance evidence.

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Why does an unmaintained dependency matter to downstream users?

A package that stops receiving fixes may become insecure or incompatible as runtimes, neighboring dependencies, and expectations change. The risk depends on what the package does, whether it is reachable in your product, the versions you use, and whether you can patch or replace it—not merely on whether its repository is quiet.

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A 2025 package-abandonment study by the CMU STRUDEL research group discusses downstream risks that include missing security patches, lost features or support, and increasing incompatibility with changing environments. It also reports that clearer abandonment status was associated with a 1.58-times higher chance of downstream reaction, on average at any point in time. That is an observed study result, not a universal causal effect or a guarantee about every ecosystem. Study paper

A separate historical study by Moura and coauthors found that 468 of 2,927 GitHub projects active at its November 2017 baseline—16% of that sample—entered an unmaintained state over the following year. The result describes that sample and period, not the current abandonment rate for all packages. Moura et al., 2020

How should you act on the assessment?

Match the response to the evidence and the dependency’s role. A low-impact package with credible maintenance evidence may only need routine monitoring; a critical, exposed component with no response path warrants a more deliberate plan. There is no universal weighting formula in the reviewed guidance, so make the trade-off explicit.

  • Monitor: Set a review date and watch for releases, security notices, or maintainer status changes when signals are uncertain and the immediate exposure is manageable.
  • Replace: Evaluate alternatives when support appears unlikely and the component is important, vulnerable, or becoming incompatible. Assess migration effort and behavior, not just activity indicators.
  • Maintain internally or fork: Consider this only if your team can take responsibility for testing, security response, release distribution, and future compatibility. A fork without an owner simply relocates the maintenance risk.

Do not apply another project’s governance rule as a universal cutoff. For example, the OSPS Baseline governance model has a six-month Emeritus-maintainer rule for that project’s own governance; it does not define inactivity for software projects generally.

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