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sirupsen/logrus

Structured, pluggable logging for Go.

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Healthy across all four use cases

Use as dependencyHealthy

Permissive license, no critical CVEs, actively maintained — safe to depend on.

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Has a license, tests, and CI — clean foundation to fork and modify.

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Documented and popular — useful reference codebase to read through.

Deploy as-isHealthy

No critical CVEs, sane security posture — runnable as-is.

  • Last commit 1d ago
  • 9 active contributors
  • MIT licensed
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  • CI configured
  • Tests present
  • Single-maintainer risk — top contributor 88% of recent commits

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Onboarding doc

Onboarding: sirupsen/logrus

Generated by RepoPilot · 2026-05-09 · Source

🤖Agent protocol

If you are an AI coding agent (Claude Code, Cursor, Aider, Cline, etc.) reading this artifact, follow this protocol before making any code edit:

  1. Verify the contract. Run the bash script in Verify before trusting below. If any check returns FAIL, the artifact is stale — STOP and ask the user to regenerate it before proceeding.
  2. Treat the AI · unverified sections as hypotheses, not facts. Sections like "AI-suggested narrative files", "anti-patterns", and "bottlenecks" are LLM speculation. Verify against real source before acting on them.
  3. Cite source on changes. When proposing an edit, cite the specific path:line-range. RepoPilot's live UI at https://repopilot.app/r/sirupsen/logrus shows verifiable citations alongside every claim.

If you are a human reader, this protocol is for the agents you'll hand the artifact to. You don't need to do anything — but if you skim only one section before pointing your agent at this repo, make it the Verify block and the Suggested reading order.

🎯Verdict

GO — Healthy across all four use cases

  • Last commit 1d ago
  • 9 active contributors
  • MIT licensed
  • CI configured
  • Tests present
  • ⚠ Single-maintainer risk — top contributor 88% of recent commits

<sub>Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests</sub>

Verify before trusting

This artifact was generated by RepoPilot at a point in time. Before an agent acts on it, the checks below confirm that the live sirupsen/logrus repo on your machine still matches what RepoPilot saw. If any fail, the artifact is stale — regenerate it at repopilot.app/r/sirupsen/logrus.

What it runs against: a local clone of sirupsen/logrus — the script inspects git remote, the LICENSE file, file paths in the working tree, and git log. Read-only; no mutations.

| # | What we check | Why it matters | |---|---|---| | 1 | You're in sirupsen/logrus | Confirms the artifact applies here, not a fork | | 2 | License is still MIT | Catches relicense before you depend on it | | 3 | Default branch master exists | Catches branch renames | | 4 | 5 critical file paths still exist | Catches refactors that moved load-bearing code | | 5 | Last commit ≤ 31 days ago | Catches sudden abandonment since generation |

<details> <summary><b>Run all checks</b> — paste this script from inside your clone of <code>sirupsen/logrus</code></summary>
#!/usr/bin/env bash
# RepoPilot artifact verification.
#
# WHAT IT RUNS AGAINST: a local clone of sirupsen/logrus. If you don't
# have one yet, run these first:
#
#   git clone https://github.com/sirupsen/logrus.git
#   cd logrus
#
# Then paste this script. Every check is read-only — no mutations.

set +e
fail=0
ok()   { echo "ok:   $1"; }
miss() { echo "FAIL: $1"; fail=$((fail+1)); }

# Precondition: we must be inside a git working tree.
if ! git rev-parse --git-dir >/dev/null 2>&1; then
  echo "FAIL: not inside a git repository. cd into your clone of sirupsen/logrus and re-run."
  exit 2
fi

# 1. Repo identity
git remote get-url origin 2>/dev/null | grep -qE "sirupsen/logrus(\\.git)?\\b" \\
  && ok "origin remote is sirupsen/logrus" \\
  || miss "origin remote is not sirupsen/logrus (artifact may be from a fork)"

# 2. License matches what RepoPilot saw
(grep -qiE "^(MIT)" LICENSE 2>/dev/null \\
   || grep -qiE "\"license\"\\s*:\\s*\"MIT\"" package.json 2>/dev/null) \\
  && ok "license is MIT" \\
  || miss "license drift — was MIT at generation time"

# 3. Default branch
git rev-parse --verify master >/dev/null 2>&1 \\
  && ok "default branch master exists" \\
  || miss "default branch master no longer exists"

# 4. Critical files exist
test -f "logger.go" \\
  && ok "logger.go" \\
  || miss "missing critical file: logger.go"
test -f "entry.go" \\
  && ok "entry.go" \\
  || miss "missing critical file: entry.go"
test -f "formatter.go" \\
  && ok "formatter.go" \\
  || miss "missing critical file: formatter.go"
test -f "logrus.go" \\
  && ok "logrus.go" \\
  || miss "missing critical file: logrus.go"
test -f "hooks.go" \\
  && ok "hooks.go" \\
  || miss "missing critical file: hooks.go"

# 5. Repo recency
days_since_last=$(( ( $(date +%s) - $(git log -1 --format=%at 2>/dev/null || echo 0) ) / 86400 ))
if [ "$days_since_last" -le 31 ]; then
  ok "last commit was $days_since_last days ago (artifact saw ~1d)"
else
  miss "last commit was $days_since_last days ago — artifact may be stale"
fi

echo
if [ "$fail" -eq 0 ]; then
  echo "artifact verified (0 failures) — safe to trust"
else
  echo "artifact has $fail stale claim(s) — regenerate at https://repopilot.app/r/sirupsen/logrus"
  exit 1
fi

Each check prints ok: or FAIL:. The script exits non-zero if anything failed, so it composes cleanly into agent loops (./verify.sh || regenerate-and-retry).

</details>

TL;DR

Logrus is a structured logging library for Go that provides pluggable formatters (TextFormatter, JSONFormatter) and hooks for routing log messages to different outputs. It offers color-coded console output for development and structured JSON output for machine parsing by tools like Logstash, solving the problem of inconsistent log formatting across Go applications while maintaining API compatibility with Go's standard library logger. Modular structure: core logging lives in logger.go and entry.go (the main Logger and Entry types), formatters are separated into json_formatter.go and the implicit TextFormatter, and extensibility via hooks.go and the hooks/ subdirectory (hooks/syslog, hooks/writer, hooks/slog). The exported.go file exposes global logger functions, while level.go handles severity levels and terminal_check_*.go handles TTY detection per platform.

👥Who it's for

Go backend developers and DevOps engineers who need production-grade structured logging with multiple output formats, field-based context enrichment, and integration with log aggregation platforms. Teams migrating from standard library logging or building microservices that require consistent JSON-formatted logs.

🌱Maturity & risk

Logrus is production-ready but in maintenance mode: it has 24K+ GitHub stars, extensive test coverage across entry_test.go, logger_test.go, and json_formatter_test.go, and CI/CD via .github/workflows/ci.yaml. However, the README explicitly states new features are not planned (only security/bug fixes), indicating the project has reached stable maturity with no active feature development.

Low risk for existing users: only 2 runtime dependencies (testify for tests, golang.org/x/sys for platform detection), but single-maintainer status (sirupsen) creates sustainability risk. The project is in maintenance mode rather than active development, so expect slow response to feature requests. However, this also means API stability is strong and breaking changes are unlikely.

Active areas of work

Active maintenance focused on interoperability: recent work adds hooks/slog/slog.go for Go 1.21+ log/slog integration (visible in the file list), bug fixes, and performance optimizations (evidenced by entry_bench_test.go and logger_bench_test.go). The project is not pursuing new major features but rather adapting to changes in the Go ecosystem.

🚀Get running

git clone https://github.com/sirupsen/logrus.git && cd logrus && go mod download && go test ./... (uses Go 1.23 per go.mod, no build steps required beyond standard Go tooling)

Daily commands: No server to run—Logrus is a library. For examples: go run example_basic_test.go, go run example_hook_test.go. For testing: go test -v ./... or go test -bench=. ./... for benchmarks.

🗺️Map of the codebase

  • logger.go — Core Logger struct and methods that drive all logging operations; every feature flows through here.
  • entry.go — Entry represents a single log event with fields and context; handles field accumulation and formatting dispatch.
  • formatter.go — Formatter interface defines the contract for converting log entries to output; all custom formatters implement this.
  • logrus.go — Package-level exported API and global logger instance; entry point for most users of the library.
  • hooks.go — Hook interface and registration mechanism; enables extensibility for custom behavior on log events.
  • json_formatter.go — Standard JSON formatter implementation; widely used and critical reference for custom formatter patterns.
  • text_formatter.go — Standard text formatter with color support and customizable layouts; handles human-readable output.

🛠️How to make changes

Add a Custom Hook

  1. Create a new file for your hook (e.g., hooks/myservice/myservice.go) (hooks/myservice/myservice.go)
  2. Implement the Hook interface from hooks.go with Levels() and Fire(entry) methods (hooks.go)
  3. Register the hook on a logger instance via logger.AddHook(myHook) from logger.go (logger.go)
  4. Write unit tests using the test hook from hooks/test/test.go to assert hook behavior (hooks/test/test.go)

Add a Custom Formatter

  1. Create a new file for your formatter (e.g., custom_formatter.go) (custom_formatter.go)
  2. Implement the Formatter interface from formatter.go with Format(entry) method returning bytes (formatter.go)
  3. Study json_formatter.go or text_formatter.go as implementation reference patterns (json_formatter.go)
  4. Set your formatter via logger.SetFormatter(myFormatter) and test with entry_test.go patterns (logger.go)

Integrate with External Logging System

  1. Create a hook in hooks/yourservice/yourservice.go that implements the Hook interface (hooks/yourservice/yourservice.go)
  2. In the hook's Fire() method, convert logrus Entry fields to your system's format (entry.go)
  3. Reference hooks/slog/slog.go as a pattern for forwarding entries to another logging library (hooks/slog/slog.go)
  4. Register the hook globally via logrus.AddHook() or per-logger via logger.AddHook() (logrus.go)

Add Support for a New Platform

  1. Create a new file terminal_check_PLATFORM.go following the pattern of existing platform checks (terminal_check_unix.go)
  2. Implement the platform-specific terminal detection logic (e.g., TTY check for your OS) (text_formatter.go)
  3. The text_formatter.go conditionally imports the platform check and uses isTerminal() output (text_formatter.go)
  4. Add tests in terminal_check_PLATFORM_test.go to verify TTY detection behavior (text_formatter_test.go)

🔧Why these technologies

  • Interface-based Formatter & Hook design — Enables users to swap formatters (JSON, text, custom) and inject side-effect hooks without modifying core library code.
  • Field-based structured logging via Entry.Data map — Allows arbitrary key-value context to be attached to each log entry, enabling rich queryable logs and structured logging best practices.
  • Buffer pool (buffer_pool.go) — Reduces garbage collection pressure by reusing byte buffers across formatter executions in high-volume logging scenarios.
  • Platform-specific terminal detection files — Enables safe ANSI color output detection per OS without runtime overhead; text formatter uses this to auto-enable colors only on TTYs.

⚖️Trade-offs already made

  • Logrus is in maintenance mode; no major new features planned.

    • Why: Acknowledges that the structured logging ecosystem in Go has matured and community has built better alternatives (e.g., slog, zap, zerolog).
    • Consequence: Users seeking cutting-edge features should consider alternatives; logrus focus is on stability, security, and interop (slog bridge).
  • Global logger instance in logrus.go alongside per-logger instances.

    • Why: Provides convenience for simple applications (no setup required) while allowing sophisticated apps to instantiate separate loggers with different configs.
    • Consequence: Thread safety and field isolation require careful use of global state; per-logger approach is recommended for libraries and complex apps.
  • Hooks execute synchronously in the log call path.

    • Why: Simplicity: guaranteed order and no buffering complexity; user can spawn goroutines in hook if async needed.
    • Consequence: Slow hooks (e.g., remote syslog, network-based) block the logging call; users must either use buffering hooks or accept latency.

🚫Non-goals (don't propose these)

  • Does not provide asynchronous/buffered logging out-of-the-box (users must implement via hooks if needed).
  • Does not handle authentication, authorization, or log access control.
  • Does not provide distributed tracing correlation IDs automatically (users must add via WithField).
  • Does not support dynamic log level reconfiguration without new logger instance.
  • Not a replacement for structured logging frameworks like slog (now in maintenance; slog is the Go stdlib standard).

🪤Traps & gotchas

Platform-specific terminal detection: terminal_check_appengine.go, terminal_check_bsd.go, terminal_check_notappengine.go, and terminal_check_no_terminal.go are conditionally compiled; TTY detection fails silently on unsupported platforms. Entry.log() fires hooks before formatting, so hook order matters if hooks modify entry data. The global Logger in exported.go is not goroutine-safe for direct mutation of formatter/hooks after application start—use SetFormatter and SetLevel only during init, not at runtime in concurrent code. Buffer pool in buffer_pool.go requires proper usage to avoid dangling pointers if custom formatters reuse buffers.

🏗️Architecture

💡Concepts to learn

  • Structured Logging — Core philosophy of Logrus: logs as key-value fields (WithField/WithFields) rather than free-form strings, enabling machine parsing and log aggregation at scale
  • Hook Pattern (Middleware/Observer) — Logrus uses hooks.go to decouple output routing from core logging; essential for understanding how to extend Logrus for custom sinks (syslog, external services, file rotation)
  • Interface-Based Extensibility (Formatter, Hook interfaces) — Logrus achieves pluggability without runtime type assertions; every formatter (TextFormatter, JSONFormatter) and every hook implements these interfaces, fundamental to Go's design philosophy
  • Buffer Pool (sync.Pool) — buffer_pool.go uses sync.Pool to reuse byte buffers across log entries, reducing GC pressure in high-throughput logging; critical for production performance tuning
  • TTY Detection & ANSI Color Output — terminal_check_*.go files conditionally enable ANSI color codes only when stdout is a TTY, preventing colored output in log files or CI environments; essential for readable development logs without breaking parsers
  • Log Levels & Severity Hierarchies — level.go defines Panic > Fatal > Error > Warn > Info > Debug > Trace hierarchy; understanding level-based filtering enables efficient log production (only log ERROR+ to files, all levels to console)
  • Goroutine-Safe Lazy Initialization — Logger uses sync.Mutex internally (implied by hooks.go Fire() contract); understanding when Logrus is thread-safe (log calls) vs. unsafe (SetFormatter at runtime) prevents race conditions in concurrent services
  • uber-go/zap — Modern, high-performance structured logging alternative explicitly recommended in README; built from the ground up with what Go developers learned from Logrus
  • rs/zerolog — Lightweight structured logger for Go also recommended in README; focuses on JSON-only output and zero-allocation logging, contrasting with Logrus' formatter flexibility
  • apex/log — Structured logging library also referenced in README as an alternative; provides handler-based design similar to Logrus hooks
  • golang/go — Logrus provides hooks/slog/slog.go bridge to Go 1.21+ log/slog; understanding Go's standard library logging is needed for interop development
  • stretchr/testify — Direct dependency in go.mod used throughout *_test.go files for assertions; understanding testify's API (assert, require) is essential for writing tests in this codebase

🪄PR ideas

To work on one of these in Claude Code or Cursor, paste: Implement the "<title>" PR idea from CLAUDE.md, working through the checklist as the task list.

Add comprehensive cross-platform terminal detection tests for terminal_check_*.go files

The repo has 8 platform-specific terminal detection files (terminal_check_appengine.go, terminal_check_bsd.go, terminal_check_unix.go, terminal_check_windows.go, etc.) but there are no corresponding unit tests. These files contain critical logic for determining TTY support across platforms, which affects formatter behavior. Testing each platform variant ensures color output and terminal detection work correctly on all supported systems.

  • [ ] Create terminal_check_test.go with build tags for each platform (//go:build appengine, //go:build darwin, //go:build linux, //go:build windows, etc.)
  • [ ] Add unit tests for each terminal_check_*.go implementation verifying TTY detection logic
  • [ ] Test edge cases like missing terminal files, permission errors, and environment variable variations
  • [ ] Verify CI workflow in .github/workflows/ci.yaml runs tests across multiple platforms (Linux, macOS, Windows)

Add integration tests for hooks/slog/slog.go bridge with standard library log/slog

The hooks/slog/slog.go file provides interoperability between logrus and Go's standard log/slog package (mentioned in README as a priority). Currently hooks/slog/slog_test.go exists but appears minimal. Comprehensive integration tests would verify the bridge correctly converts between logrus levels, fields, and slog Records, ensuring seamless interoperability as users migrate or use both logging systems.

  • [ ] Expand hooks/slog/slog_test.go with tests for slog.Handler implementation completeness
  • [ ] Add tests verifying all logrus log levels map correctly to slog levels (Debug, Info, Warn, Error)
  • [ ] Test structured fields from logrus entries are properly converted to slog Records with correct attributes
  • [ ] Add benchmarks comparing performance of logrus→slog conversion vs native slog usage

Add missing unit tests for writer.go and buffer_pool.go core components

writer.go and buffer_pool.go are foundational components for output handling and performance optimization, but there are no dedicated test files for them (only writer_test.go exists without buffer_pool_test.go). These files manage critical resources like buffer recycling and concurrent writes. Comprehensive testing ensures reliability under high throughput and concurrent load scenarios.

  • [ ] Create buffer_pool_test.go with tests for buffer allocation, reuse, and garbage collection behavior
  • [ ] Add concurrency tests in buffer_pool_test.go to verify thread-safe buffer pool operations under parallel writes
  • [ ] Expand writer_test.go with tests for edge cases: closed writers, partial writes, and io.Writer interface compliance
  • [ ] Add benchmarks in buffer_pool_test.go and writer_test.go to verify pool reduces allocations and maintains performance

🌿Good first issues

  • Add missing test coverage for terminal_check_bsd.go and terminal_check_appengine.go: Terminal detection logic exists but no explicit *_test.go files cover these platform-specific implementations; testing these paths requires conditional build tags or mocking
  • Document the Hook interface contract with a worked example in the hooks subdirectory: hooks.go defines Hook interface but hooks/ only has syslog, writer, and test examples; a comprehensive example (e.g., hooks/example_custom_hook/) would help new contributors understand hook lifecycle and best practices
  • Add benchmarks for json_formatter.go output with large field counts: entry_bench_test.go and logger_bench_test.go exist but json_formatter_test.go lacks performance baselines; benchmarking JSON formatting with 50+ fields would reveal bottlenecks in high-cardinality logging scenarios

Top contributors

Click to expand

📝Recent commits

Click to expand
  • d4a5065 — Merge pull request #1532 from criciss/master (thaJeztah)
  • 8e68ca0 — chore: fix some function names in comment (criciss)
  • 6878cb3 — Merge pull request #1529 from thaJeztah/cleanup_readme (thaJeztah)
  • 5649d7c — README: tweak section about maintenance mode (thaJeztah)
  • a328451 — README: remove details about lowercase rename (thaJeztah)
  • d258d28 — README: fix example for caller benchmarks (thaJeztah)
  • e15f1b5 — Merge pull request #1530 from thaJeztah/touchup_godoc (thaJeztah)
  • bdaca74 — touch-up godoc and add godoc-links (thaJeztah)
  • dc54592 — Merge pull request #1528 from aperturerobotics/fix-tinygo (thaJeztah)
  • fa4818c — fix: build against tinygo (paralin)

🔒Security observations

The Logrus codebase demonstrates a strong security posture. No critical or high-severity vulnerabilities were identified. The project is in maintenance mode with a focus on security and bug fixes, which is positive. The dependency list is minimal and contains well-maintained packages. The primary security considerations are around proper usage by downstream consumers (avoiding logging sensitive data) and maintaining up-to-date dependencies. No hardcoded secrets, injection vulnerabilities, or infrastructure misconfigurations were detected in the provided file structure and configuration.

  • Low · Outdated Go Version Specification — go.mod. The go.mod file specifies Go 1.23, which is a relatively recent version. While not a direct vulnerability, ensuring compatibility with supported Go versions is important for receiving security patches. Go 1.23 was released in August 2024, and projects should monitor for deprecations and security advisories. Fix: Regularly update the Go version specification to a supported release. Monitor Go security advisories at https://golang.org/security.
  • Low · Dependency Version Pinning — go.mod. The go.mod file pins specific versions of dependencies (golang.org/x/sys v0.13.0, github.com/stretchr/testify v1.10.0). While pinning is good practice, these versions should be periodically reviewed and updated to incorporate security patches. Fix: Implement a regular dependency update schedule. Run 'go get -u' periodically and audit dependencies using 'go mod audit' or tools like Dependabot.
  • Low · Potential Information Disclosure via Logging — README.md, documentation. As a logging library, Logrus could inadvertently log sensitive information if not configured properly by users. While this is primarily a user responsibility, the library should provide clear guidance on secure logging practices. Fix: Add security guidelines to the documentation advising users on how to avoid logging sensitive data (credentials, tokens, PII). Consider documenting recommended field filtering/masking patterns.

LLM-derived; treat as a starting point, not a security audit.


Generated by RepoPilot. Verdict based on maintenance signals — see the live page for receipts. Re-run on a new commit to refresh.

Healthy signals · sirupsen/logrus — RepoPilot