Reduce what you no longer need.
Find likely unused Python dependencies and inspect the signals before any removal.
Discover what your software depends on. Eliminate what it doesn't need. Repair what is vulnerable. Verify what changed. Respond rapidly when a dependency becomes dangerous.
Start with a focused scope and agreed measures of value.
Follow one dependency decision from discovery to an inspectable outcome. Select a stage to see the evidence your team can review.
Map dependencies, match known advisories, and examine available usage evidence before deciding what needs attention.
See what depends on a package and the signals that help your team prioritize it.
Surface likely unused Python dependencies for engineering review. Removal is controlled and explicitly opted into.
Import and configuration signals inform the recommendation; your engineers decide whether to remove.
Plan targeted upgrades or supported replacements on a separate branch, with a patch and draft review material.
Review the proposed versions, branch, patch, and PR draft text in your existing repository process.
Compare available baseline and changed-branch tests, re-scan, and keep failures or missing validation visible.
See before and after findings alongside available tests, including skipped checks or failing baselines.
Reassess watched packages on scheduled runs, surface rising risk, and prepare supported responses for review.
Scheduled checks record observed package health; eligible cases can lead to a response branch.
Some packages are essential. Others are no longer used, carry known vulnerabilities, or have stopped receiving maintenance. Resolve gives your team a clearer basis for what to keep, remove, or change.
Find likely unused Python dependencies and inspect the signals before any removal.
Link known advisories to dependencies and review a targeted change with a patch.
Track package health on scheduled runs and prepare supported responses for review.
✳ A malicious package can create risk during installation; usage analysis alone cannot establish that it is safe. Scope this risk separately with your team.
Resolve connects discovery, reduction, repair, verification, and watch activity into a workflow your team can inspect. Each step keeps the reasoning close to the change.
Explore the five stages
A proposed fix should come with enough context to review it. Resolve creates artifacts that help your team understand the finding, examine the patch, and compare available validation results.
Dependency inventory, known advisories, package health, and available usage evidence.
Change plan, separate branch, patch, proposed versions, and PR draft text.
Before and after findings with available tests, including failures or verification gaps.
Generated reports and a software bill of materials to support technical review.
Focus the conversation on dependency exposure with supporting evidence.
Assess targeted repairs alongside available test results and the patch.
Evaluate the workflow across supported repositories and ecosystems.
Start with a representative repository and a clear question: which dependencies should you keep, remove, repair, or review more closely?
Agree a bounded repository and measures of value.
Inventory dependencies and review initial findings.
Examine plans, patches, reports, and available tests.
Decide what the evidence supports and what comes next.
Tell us about your team and what you want to understand about your dependencies. We’ll help scope a focused evaluation.
hello@stackview.aiYour environment. Your priorities. The evidence you need to make a decision.
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Evaluation starts with a clear account of what Resolve can assess today and where review still belongs to your team.
Resolve supports Python, JavaScript/TypeScript, Java, and .NET. Analysis depth varies: function-level reachability is available for Python; other ecosystems use import-level and package-call evidence. We can confirm coverage for your repository during pilot scoping.
Likely unused packages are candidates for engineering review. Removal is an explicit option and should follow that review.
Resolve prepares a separate branch, patch, reports, and PR draft text. Your team uses its existing repository review and merge process to decide what ships.
Those states are recorded in the results. Resolve compares available baseline and changed-branch tests; missing verification is not presented as successful validation.
AI assistance is optional for Python function-level analysis. Resolve also runs with static analysis. A pilot can evaluate the configuration appropriate to your environment.
It includes identifying upgrades that break detected tests, rebuilding the remediation branch without those changes, and preparing supported dependency replacements. Production recovery and incident response needs should be scoped separately.
Discuss a focused pilot to understand your dependencies, review practical changes, and assess the value in your environment.
Discuss a pilot