easyjson
RepositoryFreeFast JSON serializer for golang.
Capabilities12 decomposed
build-time code generation for type-specific json marshalers
Medium confidenceAnalyzes Go struct definitions at build time and generates specialized MarshalEasyJSON methods that serialize structs to JSON without runtime reflection. The generator parses Go source files, identifies target structs (via tags or -all flag), and emits optimized marshaling code to *_easyjson.go files. This eliminates the reflection overhead of encoding/json by pre-computing type layouts and field orderings during compilation.
Generates type-specific marshaling code at build time rather than using reflection at runtime, with buffer pooling in 128-32768 byte chunks and sync.Pool reuse for chunks ≥512 bytes, eliminating per-operation allocation overhead that encoding/json incurs
3-4x faster marshaling than encoding/json with 55% fewer allocations; faster than ffjson (1.5-2x) due to more aggressive buffer pooling and minimal validation strategy
build-time code generation for type-specific json unmarshalers
Medium confidenceGenerates specialized UnmarshalEasyJSON methods that deserialize JSON into Go structs using a custom lexer instead of reflection. The unmarshaler generator creates type-aware parsing code that directly populates struct fields, leveraging the jlexer component for efficient token extraction. This approach performs 5-6x faster than encoding/json while reducing allocations by ~40% through minimal validation and direct field assignment.
Generates type-specific unmarshalers that use a custom jlexer component performing minimal validation (only enough to parse correctly) rather than full JSON schema validation, combined with direct struct field assignment avoiding reflection overhead
5-6x faster unmarshaling than encoding/json with 40% fewer allocations; 2-3x faster than ffjson due to more efficient lexer design and buffer management
integration with go build system via go:generate directives
Medium confidenceEnables transparent code generation integration into Go's standard build process through go:generate directives embedded in source files. Developers add //go:generate easyjson -all comments to Go files, and the go generate command automatically runs the easyjson tool before compilation. This integrates code generation seamlessly into existing build pipelines without requiring custom build scripts or Makefiles.
Integrates code generation into Go's standard go:generate mechanism, enabling transparent automation without custom build scripts or external tools, and supporting standard Go CI/CD workflows
More integrated with Go tooling than ffjson (which requires custom build setup); leverages standard Go build system without external dependencies
comprehensive test suite with performance benchmarks
Medium confidenceIncludes extensive unit tests covering struct marshaling/unmarshaling, edge cases (unknown fields, null values, custom types), and performance benchmarks comparing easyjson against encoding/json and ffjson. The test suite validates correctness across different struct types, field configurations, and JSON inputs, while benchmarks quantify performance gains (3-6x faster marshaling, 5-6x faster unmarshaling) and allocation reductions (~40-55%).
Provides comprehensive test suite with performance benchmarks comparing easyjson against encoding/json and ffjson, quantifying specific performance gains (3-6x marshaling, 5-6x unmarshaling) and allocation reductions (~40-55%)
More comprehensive benchmarking than typical JSON libraries; includes direct comparisons with encoding/json and ffjson to validate performance claims
custom json lexer with minimal validation and optimized token extraction
Medium confidenceImplements jlexer, a high-performance JSON tokenizer that extracts typed values from JSON input with minimal memory allocations and validation overhead. Unlike the standard library's fully-validating parser, jlexer performs just-enough validation to correctly parse input while skipping unnecessary checks. It directly extracts integers, floats, strings, and booleans into Go types, with optimizations for string handling and buffer reuse through sync.Pool.
Performs minimal validation (only enough to parse correctly) rather than full JSON schema validation, with direct typed value extraction and buffer pooling for string handling, reducing allocations compared to standard library's comprehensive validation approach
Faster token extraction than encoding/json's decoder due to skipping full validation; more efficient than manual string parsing through optimized buffer reuse and type-aware extraction
optimized json writer with buffer pooling and direct output streaming
Medium confidenceImplements jwriter, a high-performance JSON serialization component that writes Go data structures to JSON with optimized buffer management and direct output streaming. The writer uses a buffer pool allocating memory in increasing chunks (128 to 32768 bytes) with sync.Pool reuse for chunks ≥512 bytes, reducing garbage collection pressure. It supports direct output to HTTP response writers and other io.Writer targets, with specialized string handling optimizations.
Uses tiered buffer pooling with sync.Pool reuse for chunks ≥512 bytes and discarding smaller allocations, combined with direct io.Writer streaming support, reducing GC pressure more aggressively than encoding/json's single-buffer approach
Significantly lower garbage collection overhead than encoding/json due to buffer reuse strategy; more efficient than manual buffer management through automatic pool sizing
struct field mapping with custom json tags and unknown field handling
Medium confidenceProvides declarative struct field-to-JSON mapping through Go struct tags (json, easyjson) with support for custom field names, omitempty, and unknown field handling strategies. The code generator analyzes struct definitions and produces field mapping code that handles renaming, optional fields, and configurable behavior for unexpected JSON fields (ignore, error, or store). This enables flexible JSON serialization/deserialization without manual field mapping code.
Generates type-specific field mapping code at build time with configurable unknown field handling (ignore/error/store) and custom JSON property names via tags, avoiding reflection-based field lookup overhead during unmarshaling
More efficient than encoding/json's runtime tag parsing and reflection-based field lookup; supports unknown field strategies (store/error) not available in standard library
optional type support with null-aware serialization and deserialization
Medium confidenceProvides built-in support for optional/nullable types in JSON through special handling of pointer types, custom optional wrappers, and null value semantics. The code generator produces marshaling code that omits null pointers from JSON and unmarshaling code that correctly handles null values by setting pointers to nil. This enables clean representation of optional fields without manual null checking or wrapper types.
Generates null-aware marshaling/unmarshaling code at build time that omits null pointers from JSON and correctly deserializes JSON nulls into nil pointers, avoiding runtime null checks and reflection-based type inspection
More efficient than encoding/json's runtime null handling through pre-generated code; cleaner API than manual wrapper types or custom MarshalJSON implementations
string interning for reduced memory allocations in repeated string values
Medium confidenceImplements string interning optimization that deduplicates repeated string values during JSON unmarshaling, reducing memory allocations when parsing JSON with many identical strings (e.g., repeated field names or enum values). The unmarshaler caches previously-seen strings and reuses pointers to identical values, leveraging Go's string interning semantics to reduce heap pressure and improve cache locality.
Automatically interns repeated string values during unmarshaling by caching previously-seen strings and reusing pointers, reducing allocations for JSON with high cardinality repeated strings without explicit configuration
More efficient than encoding/json for JSON with repeated strings due to automatic interning; reduces memory pressure compared to naive unmarshaling that allocates new strings for each occurrence
custom map key type support with type-aware serialization
Medium confidenceEnables JSON marshaling and unmarshaling of maps with non-string key types (int, float, custom types) by generating type-specific key conversion code. The code generator produces marshaling code that converts map keys to JSON-compatible strings and unmarshaling code that parses string keys back to the original type. This allows maps with typed keys to be serialized to JSON while maintaining type safety.
Generates type-specific key conversion code at build time that serializes non-string map keys to JSON-compatible strings and deserializes them back, maintaining type safety without runtime reflection or manual conversion
More efficient than encoding/json's reflection-based key conversion; cleaner API than manual key conversion or wrapper types
command-line code generation tool with flexible struct selection
Medium confidenceProvides an easyjson command-line tool that analyzes Go source files and generates marshaling/unmarshaling code for selected structs. The tool supports multiple selection modes: explicit //easyjson:json tags on structs, -all flag to generate for all structs, or -type flag to specify individual struct names. Generated code is written to *_easyjson.go files in the same package, integrating seamlessly into Go build pipelines.
Provides flexible struct selection through //easyjson:json tags, -all flag, or -type flag, enabling incremental adoption and selective optimization in large codebases without requiring all structs to use easyjson
More flexible struct selection than ffjson (which uses //ffjson tags only); supports go:generate directives for transparent integration into Go build pipelines
concurrent marshaling with reduced allocation overhead
Medium confidenceOptimizes concurrent JSON serialization through buffer pooling and allocation strategies that scale efficiently across multiple goroutines. The sync.Pool-based buffer reuse and tiered allocation chunks (128-32768 bytes) minimize contention and per-operation allocations even under high concurrency. Benchmarks show 6-7x faster concurrent marshaling than encoding/json due to these optimizations.
Achieves 6-7x faster concurrent marshaling than encoding/json through sync.Pool-based buffer reuse with tiered chunk allocation (128-32768 bytes) and minimal per-operation allocations, scaling efficiently across multiple goroutines
Significantly faster concurrent marshaling than encoding/json due to optimized buffer pooling; more efficient than manual buffer management or goroutine-local pools
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Go backend developers building high-throughput APIs and microservices
- ✓Teams optimizing JSON serialization in latency-sensitive applications
- ✓Developers migrating from encoding/json seeking drop-in performance improvements
- ✓Go backend developers processing high-volume JSON payloads from APIs or message queues
- ✓Teams building real-time data pipelines requiring sub-millisecond JSON parsing
- ✓Developers optimizing concurrent unmarshaling workloads (6-7x faster than encoding/json)
- ✓Go developers using standard Go build tools and CI/CD systems
- ✓Teams automating code generation in GitHub Actions, GitLab CI, or similar
Known Limitations
- ⚠Requires explicit code generation step in build pipeline — not transparent like encoding/json
- ⚠Generated code is Go-specific and cannot be shared across language boundaries
- ⚠Custom marshaling logic must be manually implemented for non-standard types
- ⚠Changes to struct definitions require regenerating code; no dynamic struct support
- ⚠Unmarshaler generation requires struct definitions to be known at build time
- ⚠Does not perform full JSON schema validation — validates only enough to parse correctly
Requirements
Input / Output
UnfragileRank
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Repository Details
Last commit: Mar 14, 2026
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Fast JSON serializer for golang.
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