A Go static analysis tool that identifies slice declarations that could be preallocated for better performance.
prealloc is a Go static analysis tool that finds slice declarations in Go code that could benefit from preallocation. It scans for patterns where slices are declared without an initial capacity and then appended to within loops, suggesting optimizations to reduce memory allocations and improve runtime performance.
Go developers working on performance-sensitive applications, library maintainers, and teams enforcing code quality standards who want to optimize memory usage and reduce garbage collection overhead.
Developers choose prealloc because it provides automated, actionable suggestions for a common performance pitfall in Go, with configurable rules to minimize false positives and benchmarks that clearly demonstrate the impact of preallocation.
prealloc is a Go static analysis tool to find slice declarations that could potentially be preallocated.
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Identifies specific slice preallocation opportunities in loops, with benchmarks showing up to 4.5x speed improvement (e.g., from 510 ns/op to 111 ns/op) in the provided examples.
Offers flags like -simple and -rangeloops to tailor analysis, reducing false positives by default on for loops where control flow is complex, as noted in the README.
Validates suggestions by analyzing the Go standard library, listing multiple instances where preallocation could be applied, as shown in the example output from go/src/....
Installs via go install and runs similarly to go vet, making it simple to incorporate into existing Go development workflows and CI/CD pipelines.
Only targets slice preallocation, missing other performance optimizations like map preallocation or memory alignment, which might offer greater benefits in some applications.
Lacks configuration options for test files and advanced globbing support (e.g., *.go), as mentioned in the TODO section, which could hinder adoption in projects with specific file structures.
May suggest preallocations for small or infrequent slices where the performance gain is minimal, potentially encouraging unnecessary code complexity without significant benefit, as acknowledged in the README.