Actively maintained open-source projects are those with recent releases, ongoing issue triage, and responsive maintainers, and the 18% drop reported in...
Actively Maintained Open-Source Projects Decline — What Development Managers Must Do
Actively maintained open-source projects are those with recent releases, ongoing issue triage, and responsive maintainers, and the 18% drop reported in Sonatype's 2023 State of the Software Supply Chain report should make development managers rethink risk and sourcing strategies. Short-term fixes won’t cut it, and managers must plan for resiliency, supply-chain visibility, legal compliance, and staff stewardship. — Ermenildo V Castro
Key Takeaways:
- 18% decline in actively maintained open-source projects raises supply-chain risks.
- Prioritize supply-chain scanning, SBOMs, and maintainers’ health metrics.
- Invest in internal guardianship (OSPO-style policies), tooling, and contributor support.
- Treat open-source maintenance as stewardship of shared work and human dignity.
What is Actively Maintained Open-Source Projects?
Short definition first.
Actively maintained open-source projects are repositories where code changes, issue triage, and releases occur on a regular cadence, and where maintainers respond within reasonable timeframes; these projects show signs of life such as recent commits, passing CI checks, and published releases, and they typically include explicit license files and contributor guidance which makes legal review practical. Clear metrics help because automated signals can flag risk early, and managers should not rely on stars or forks as the only health indicators. When I managed platform teams, I learned to check contribution graphs, release cadence, and security advisories before allowing a dependency into our build.
Core Benefits/Importance
Small bullet first.
Security reduction. Using well-maintained open-source dependencies reduces security exposure, improves compatibility, and shortens incident remediation time, which directly affects deployment reliability and developer productivity; this matters because unpatched transitive dependencies are a common root cause of breaches and outages. That’s not academic; I've responded to outages caused by unmaintained transitive gems and learned hard lessons about prioritizing the highest-risk packages. Protect people.
Operational stability. Actively maintained projects often have CI, tests, and release notes which make upgrades predictable and automatable, and that predictability lowers the cost of upgrades and migrations over time. In a late-night incident, having a clear changelog and fast patching path saved my team hours and prevented a customer-facing outage from becoming a multi-day incident. This matters to SREs and engineering managers.
Legal clarity. Projects that include license files, contributor license agreements (CLAs) or clear contribution policies simplify compliance workflows and reduce legal risk, while unlicensed or poorly documented repos create procurement headaches. Legal teams appreciate clear metadata because it speeds approvals and avoids surprises during audits. Treat compliance as practical risk management.
Community support. Active communities respond to security reports and help with edge cases, and that community buffer reduces the support load on your internal team; conversely, depending on a one-maintainer repo increases single-person risk. Be mindful of maintainer health and bandwidth so you aren't unintentionally exploiting free labor. Ethical stewardship matters; teams that treat maintainers fairly and avoid overloading them reflect respect for the dignity of work.
Step-by-Step Implementation/Guide
Step one short.
Start with an audit: inventory every dependency, record versions, and capture license details, which you will later map to risk tiers; the inventory must include direct and transitive dependencies, and it should feed into your CI so you can track drift. Then run automated scanning tools like Snyk or Dependabot and integrate SBOM generation into CI to record component origin, which helps during incident triage and compliance reviews. I did this twice; the first time we were reactive and burned cycles, the second time we invested in automation and reduced firefights by two-thirds.
Next short step.
Implement continuous monitoring: subscribe to vulnerability feeds, run weekly dependency scans, and generate notifications for high and critical CVEs; couple automated alerts with human triage for ambiguous cases, and aim for SLAs on patch review and rollout. Use proven tools and integrate them into Slack or your ticketing system so that alerts create actionable work items rather than noise. When I introduced a weekly triage cadence, the ops team stopped treating alerts as spam and began fixing root causes proactively.
Third short step.
Introduce governance: form a lightweight OSPO or stewardship board, define acceptable license policies, create an emergency response playbook for supply-chain incidents, and designate owners for important third-party packages who will own upgrade decisions. This keeps decisions consistent,and prevents ad-hoc supply choices that cause brittle production systems. I once pushed for a quarterly dependency review meeting and it saved us from rolling out a risky package into prod.
Final short step.
Support contributors and maintainers: sponsor critical projects, fund maintainer time where appropriate, and encourage engineers to contribute upstream by fixing bugs or improving docs; these investments pay back by increasing reliability and reducing custom maintenance costs. A small sponsorship of a dependency I relied on resulted in prioritized security work and faster merges. Practical generosity is good stewardship of talent and time.
Comparison Table
Simple table first.
| Feature |
Actively Maintained Open-Source Projects |
Stagnant / Unmaintained Projects |
| Security patch frequency |
High: frequent releases and quick CVE fixes |
Low: rare updates and unpatched CVEs |
| Community support |
Active issues and PRs reviewed |
Issues ignored or stale PRs |
| CI and tests |
Present, green CI runs |
Missing or failing tests |
| Legal clarity |
Clear license files and contributor agreements |
Missing license data, risky use |
| Long-term reliability |
Higher, with active roadmaps |
Lower, brittle for production |
Common Mistakes to Avoid
Short warning.
Managers often adopt a library based on popularity alone, believing that stars equal health, which is a fragile assumption since popularity doesn’t guarantee maintenance or security responsiveness; instead, inspect activity metrics like recent commits, issue response time, release cadence, and test coverage. Teams also make the mistake of letting procurement or product deadlines force risky dependency choices without technical review, and that shortsightedness creates tech debt and emergency patches later. I’ve watched teams deploy based on a trending repo and then scramble when the maintainers stopped answering issue threads.
Another short caution.
Overreliance on automated scanning alone can create complacency because tools surface signals but not context, and human review is necessary for license edge cases, unclear CVE impact, and prioritization decisions. For example, an automated alert might show a vulnerable transitive dependency that only affects optional code paths, and without human triage you might waste engineering time remediating non-issues. Pair tools with policy and human decision-making.
One more short problem.
Forking too quickly is a common trap: teams fork to patch or move faster, but forks carry long-term maintenance cost and security burden, and the total cost of ownership must be computed before committing. Sometimes you still must fork for critical fixes, but plan for ongoing maintenance and budget the effort. In my experience, forking paid off in one project but destroyed velocity in another because we under-budgeted maintenance work.
Frequently Asked Questions
Q1 short.
How do I measure maintainer activity? Look at commit timestamps, release cadence, interaction in issue trackers, and community involvement such as PR merges and code reviews, and combine those signals into a maintainer-health score. Tools like GitHub Insights, repository graphs, and third-party analytics can surface trends, but always validate with manual checks. My checklist included time-to-first-response, open PR age, and release frequency.
Q2 short.
Which tools should I use? Use a mix: supply-chain scanners (Snyk, OSS Index), dependency managers with automated PRs (Dependabot, Renovate), SBOM producers (Syft, CycloneDX), and repository analytics (GitHub Insights, GH Archive); integrate these into CI and your ticketing system for actionable alerts. Relying on a single tool creates blind spots, so compose tools and human review. We used a stack of scanners plus manual policy review to get comprehensive coverage.
Q3 short.
When should we fork a project? Consider a fork when the project is critical to your stack, the maintainers are unresponsive, and you can commit resources to ongoing maintenance; calculate long-term cost and consider alternatives like sponsoring the original project or patching upstream. Forks are a last resort because they shift maintenance fully to your organization. Our team forked a JSON parser once and regretted it because we underestimated compatibility and security updates.
Q4 short.
How can we support maintainers ethically? Provide sponsorship, offer paid time for engineers to contribute, improve documentation, and route issues with clear reproduction steps; these actions reduce friction for maintainers and respect their labor. Treating open-source contribution as work stewardship improves community relations and aligns with the dignity of the human labor involved. We budgeted small sponsorships and saw faster merges and prioritized security fixes.
Final Thought
Short closing.
The 18% decline in actively maintained projects is not an excuse for fear, but it is a call to responsible action: build inventories, integrate SBOMs, support maintainers, and set clear governance so your teams can rely on external code without compromising security or worker dignity. Managers must act as stewards of both code and people, balancing operational needs with ethical treatment of maintainers and contributors; for me, that stewardship has always guided technical decisions in production environments. Take responsibility. — Ermenildo Castro