Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Deleting an npm dependency is not the same as deleting the work it performed. In Sai Ram Dash’s nirdep project, replacing selected JavaScript packages required a codemod, five runtime modules, binding-aware source edits, and 856,168 differential checks. The reported results show why dependency removal is an ownership decision: code leaves node_modules, but its behavior, security decisions, tests and maintenance obligations move into your repository.
The useful question is therefore not “How many packages can we remove?” It is “Which behavior can we reproduce, verify and maintain without creating a larger risk?”
What nirdep is actually trying to remove
Nirdep is presented as two connected pieces. Its runtime contains five modules intended to replace selected functions from established JavaScript packages. Its codemod analyzes bindings and patches specific source ranges, producing a reviewable diff instead of blindly rewriting text. The project names eleven package targets: chalk, strip-ansi, supports-color, ansi-styles, semver, minimatch, glob, lodash, minimist, commander and yargs.
That list does not mean every target can be replaced automatically. Nirdep reports that only five of the eleven are eligible for automated rewriting. The other six are advisory-only because their call-site shapes can change semantics in ways a general codemod cannot establish safely. The tool also deliberately leaves package.json untouched. A developer must decide whether the package is still needed, remove it, update lockfiles and run the project’s own checks.
#1 Best Overall
The project’s repository describes a command-line workflow for scanning a codebase, planning edits, applying changes, ejecting runtime code into the adopter’s tree, guarding dependencies, running conformance checks, explaining decisions and trying demonstrations. Those labels describe the intended workflow; exact command syntax and availability can change while the project remains under active construction.
Why “delete the dependency” means transferring responsibility
A package normally carries implementation choices, compatibility work, release maintenance and security fixes on behalf of its consumers. Replacing it with local modules can reduce installed footprint or remove a transitive edge, but the replacement becomes code your team owns. Dash summarizes that trade-off this way: “Replacing a package does not delete the work, it moves the work somewhere your name is on it, and the only honest reason to do that is if you would rather own the bug than wait for the advisory.”
That ownership includes less visible obligations:
- matching the package’s behavior at the call sites you actually use;
- deciding what to do when the reference package behaves inconsistently;
- tracking standards, platform and runtime changes;
- maintaining tests and reviewing future edits; and
- responding when a security fix or compatibility change arrives upstream.
A byte-count reduction is therefore not a total-cost calculation. Nirdep reports 2,085,975 bytes across 1,164 files for four measured reference packages, versus 223,069 bytes across five replacement modules. The author explicitly treats the smaller replacement as a new maintenance burden, not proof that the project is cheaper over its lifetime.
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
How 856,168 differential checks were used
Differential testing runs the replacement and the reference package on the same inputs, then compares their observable results. It is useful for finding accidental differences, but it is not a magical correctness oracle: the reference can itself contain edge cases, contradictions or behavior you do not want to preserve.
| Area | Reported checks | Reported result | What the figure means |
|---|---|---|---|
| Overall nirdep project | 856,168 differential checks | Project-wide comparison count reported by Sai Ram Dash in 2026 | A project-specific testing total, not an industry benchmark |
semver |
507,316 checks against semver@7.8.5 |
507,244 agreements and 72 disagreements | Dash says all 72 disagreements were rechecked against the reference package’s own satisfies behavior |
glob |
228,852 checks | 697 categorized disagreements: 576 print, 91 nonascii, 18 partial and 12 brace |
Discrepancies were classified rather than reported as an unexplained error total |
| Selected lodash functions | 120,000 comparisons over 8,000 seeded rounds | 11 pinned divergences | Seeded rounds make a subset of behavior reproducible; they do not cover every possible input |
Dash describes the scale of the work in memorable terms: “Somewhere around check number three hundred thousand, my test harness stopped testing my code and started testing the code I was replacing.” That observation matters because a replacement project can spend more effort characterizing an existing package than writing its first implementation.
Rank #2
What to do when the reference package disagrees with itself
Agreement with a reference output is only as meaningful as the reference’s consistency. During the audit, Dash reports an intersects case whose result changed when the arguments were reversed. The account also describes semver cases in which the reference implementation contradicted itself. Treating every reference result as automatically correct would have copied an ambiguity into the replacement.
The practical response is to name and review each discrepancy. Dash’s formulation is concise: “A difference you cannot name is a gap.” A useful discrepancy record identifies the input, reference version, replacement output, expected contract, security implications and the decision to preserve, change or document the behavior. This turns a failing comparison into an engineering decision instead of a number that disappears into a pass-rate dashboard.
Which parts can be rewritten automatically?
Binding-aware rewriting is safer than searching and replacing package names in text. Nirdep resolves JavaScript bindings and patches source ranges, so a developer can inspect the resulting diff. That approach can establish what an imported function refers to, but it cannot infer every dynamic call pattern or every semantic assumption surrounding a call.
Use automation when the call shape is established
For an eligible target, the conservative workflow is to scan first, generate a plan, inspect the proposed ranges, apply only the approved edits and run conformance checks. Keep the generated diff small enough that a reviewer can connect each changed call site to the replacement API. Ejecting runtime code makes the implementation part of the application, which is useful when you need direct ownership and local changes.
Keep advisory-only targets under human review
Six named targets remain advisory-only in the project’s account. For those packages, use the scanner and explanation output to identify possible opportunities, then write or review the migration manually. A codemod that edits an uncertain call site can create a syntactically valid but semantically wrong program, which is harder to detect than an unchanged dependency.
How the project verifies that dependencies are really gone
Nirdep says its verifier examines imports rather than trusting an empty manifest. In the repository artifact described by the project, the import graph contains zero third-party packages and 12 Node built-ins. A sample verification output reports 540 import specifiers across 105 files resolving to relative paths or Node built-ins.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesThose are claims about the project artifact and its verification method. They do not establish that every consumer application can remove the same packages safely. Your application may retain a dependency through another entry point, a generated file, a plugin, a test-only path or a package that was not part of the migration.
A practical verification sequence
- Inventory imports. Start with the scanner’s read-only operation. The repository describes this scan as reading without writing, which lets you see reachable package references before changing code.
- Map shared edges. Record which packages are imported by multiple roots, including tools, tests and build scripts. Removing one direct declaration does not remove a package that another root still reaches.
- Review the plan. Use the planner or explanation output to see which bindings are recognized and which are advisory. Reject edits whose call shape or dynamic behavior is unclear.
- Apply and inspect the diff. Apply approved source-range changes, then review every changed import and invocation. Do not expect the tool to edit
package.jsonfor you. - Run syntax and property checks. Dash says a property test over repository code caught unresolved-name leaks that unit examples had missed. A syntax gate can catch malformed output before deeper tests run.
- Run conformance and project tests. The repository reports 634 tests in 55 files and 3,593 conformance cases. Treat those as the project’s reported coverage, then add tests for your own call sites and failure modes.
- Re-scan the final tree. Confirm that imports resolve only to intended relative paths or Node built-ins, and check generated artifacts separately.
Security choices can create compatibility changes
Nirdep’s semver and glob replacements avoid regular expressions. Dash says the design responded to regular-expression denial-of-service risks associated with parsers and brace expansion. Avoiding regular expressions can reduce one class of risk, but it does not prove that an implementation is secure. Input limits, algorithmic complexity, path handling and downstream usage still require review.
The glob implementation documents an explicit compatibility boundary: its POSIX character classes are ASCII-based, so the character 中 does not match its [[:alpha:]] table. If your application relies on broader Unicode character classes, that is a behavior difference to test and either accept or reject.
The lodash-like deep-write API contains another deliberate divergence. Dash reports that writes do not follow inherited properties, avoiding prototype-pollution behavior. That is a security-motivated change, not perfect behavior identity. Code that previously depended on inherited paths may behave differently and should be migrated intentionally.
Rank #4
What the reported performance and size numbers say
The project’s benchmarks show trade-offs rather than a universal win. Dash reports satisfies running at 0.26 times the reference speed, while the matcher runs at 1.37 times minimatch and cloneDeep at 1.40 times lodash. These are author-reported 2026 measurements; they were not independently reproduced here. The relevant question for an adopter is whether the operation is on a hot path, a startup path or an occasional command-line path.
| Measurement | Reported value | Decision implication |
|---|---|---|
satisfies |
0.26× the reference speed | Benchmark your version-check workload before moving latency-sensitive code |
| Matcher | 1.37× minimatch |
Check throughput and worst-case inputs in your own glob patterns |
cloneDeep |
1.40× lodash |
Measure object sizes, frequency and memory behavior in production-like data |
The repository also reports 14,287 source lines in 42 files and two byte-identical builds. Reproducible builds and a reviewable source tree help maintenance, but they do not remove the need for security review, regression tests or release ownership.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Understand blast radius before counting removals
Dependency removal is a graph problem. If two application roots reach the same package, removing it from one path may leave it installed and reachable through the other. Summing one package’s size or transitive count for every proposed removal can therefore overstate the real reduction.
Build a graph that includes production code, tests, command-line tools, generated files and optional integrations. Then ask:
Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchWindows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstall- Which roots still import the package after the rewrite?
- Does a different package retain the same dependency?
- Will a lockfile update remove anything from the shipped artifact, or only from a development install?
- Does ejecting replacement code increase the number of files your team must audit?
This graph view is also where a security decision belongs. Removing one parser may reduce exposure, while introducing local parsing code creates a new review surface. The net result depends on reachability and behavior, not on the number of deleted manifest entries.
Runtime and project requirements
The reviewed repository states a requirement of Node.js 22.17.0 or newer. It also states that no compiler, package manager or network access is required for its workflow. Because the project labels itself a hackathon entry under active construction, treat those details and the list of working CLI operations as version-specific. Confirm the repository’s current requirements before standardizing the tool in CI.
For a controlled adoption, pin the nirdep revision you evaluate, preserve its generated diff, record the reference package versions used for comparisons and rerun your project’s tests whenever either side changes. Do not treat a passing migration as a permanent compatibility guarantee.
When deleting a dependency is a sound decision
Use dependency removal when you can state the behavior you need, test it against representative and adversarial inputs, review security differences and accept responsibility for future fixes. It is especially defensible when the package supplies a narrow function, the replacement has a small and understandable surface, and the dependency’s maintenance or exposure cost is higher than the local ownership cost.
Recommended Free Tools
Be cautious when the package has broad API coverage, complex plugin behavior, locale or Unicode semantics, dynamic loading, or a large and poorly understood call graph. In those cases, advisory analysis can still reveal unused paths or candidates for a deliberately scoped manual migration without pretending the whole package is safely replaceable.
Nirdep’s numbers make the central lesson concrete: hundreds of thousands of checks can uncover both defects in new code and contradictions in old code. The valuable output is not a headline count of removed packages. It is a documented boundary around what your team understands, verifies and is prepared to maintain.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
