loglevel vs bunyan vs debug vs log4js vs pino vs winston
JavaScript Logging Libraries for Frontend and Full-Stack Applications
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JavaScript Logging Libraries for Frontend and Full-Stack Applications

bunyan, debug, log4js, loglevel, pino, and winston are widely used JavaScript logging libraries that help developers track application behavior, diagnose issues, and monitor performance. While some were originally built for Node.js environments, several have evolved to support browser-based frontend use cases as well. These libraries differ significantly in architecture, performance characteristics, output format, extensibility, and suitability for client-side versus server-side contexts.

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loglevel18,463,4422,74786.2 kB192 years agoMIT
bunyan3,316,4867,207-2916 years agoMIT
debug011,45042.8 kB95a year agoMIT
log4js05,829160 kB963 years agoApache-2.0
pino018,145664 kB1656 months agoMIT
winston024,503275 kB5298 months agoMIT

JavaScript Logging Libraries Compared: bunyan, debug, log4js, loglevel, pino, winston

Logging seems simple until you’re knee-deep in production incidents with no clear trail of what went wrong. The right logging library can mean the difference between a 5-minute fix and an all-nighter. But not all loggers are built alike — especially when you’re juggling frontend constraints like bundle size and browser compatibility alongside backend needs like performance and structured output.

Let’s break down how these six libraries handle real-world logging challenges.

🖥️ Browser Support: Where Can You Actually Use Them?

Not every logger plays nice in the browser. Some assume Node.js globals like process or filesystem access, which breaks in client-side code.

loglevel was built from the ground up for the browser. It’s tiny, uses console under the hood, and respects native devtools filtering. Perfect for SPAs or embedded widgets.

// loglevel: Simple browser logging
import log from 'loglevel';
log.setLevel('debug');
log.debug('User clicked button'); // Shows in browser console

winston and log4js offer official browser builds. Winston uses its transport system to route logs to console, while log4js provides appenders like browserConsole. Both work but add noticeable bundle weight.

pino has pino-browser, a separate package that mimics core behavior using console, but it’s opinionated about JSON formatting — which browsers don’t render beautifully by default.

bunyan has no official browser support. Attempts to shim it often fail due to its reliance on Node streams and synchronous disk writes.

debug works everywhere — it’s just a thin wrapper around console.log with namespace filtering. No build step needed.

⚡ Performance: How Much Does Logging Slow You Down?

In high-frequency scenarios (e.g., request logging in APIs), logger overhead matters.

pino is the speed king. It avoids object serialization during hot paths by using asynchronous flushing and string concatenation. Logs are written as newline-delimited JSON, ready for ingestion by tools like Fluentd or Loki.

// pino: Fast structured logging
const logger = require('pino')();
logger.info({ userId: 123 }, 'User logged in');
// Output: {"level":30,"time":1712345678901,"pid":12345,"hostname":"...","userId":123,"msg":"User logged in"}

bunyan is also performant in Node but slower than pino due to synchronous object creation and richer metadata by default.

winston and log4js are heavier because they support synchronous multi-transport dispatch (e.g., writing to file + sending to HTTP endpoint at once). This flexibility costs CPU cycles.

loglevel and debug are fast in the browser because they delegate entirely to console — but only if you disable logging in production (via minification or runtime checks).

📦 Structure vs. Readability: JSON Logs or Human-Friendly?

Do you want logs that machines parse easily or ones developers read directly?

pino and bunyan enforce structured JSON. Great for log aggregation, terrible for tailing files locally unless you pipe through their CLI formatters (pino-pretty, bunyan -o short).

# Pretty-print pino logs
node app.js | pino-pretty

winston, log4js, and loglevel default to human-readable strings but allow JSON formatting via options or formatters.

// winston: Switch between formats
const { createLogger, format, transports } = require('winston');
const logger = createLogger({
  format: format.combine(
    format.timestamp(),
    format.json() // or format.simple()
  ),
  transports: [new transports.Console()]
});

debug is purely human-readable — just plain strings with colored namespaces.

🔌 Extensibility: Transports, Formatters, and Plugins

Need to send logs to Slack, Datadog, or rotate files daily? That’s where transports and appenders come in.

winston leads here with a vast ecosystem of transports (winston-daily-rotate-file, winston-slack, etc.). Its architecture treats every output as a “transport,” making it trivial to log to multiple destinations.

log4js uses “appenders” with similar flexibility — you can chain them, filter by level, or write custom ones.

pino takes a Unix philosophy approach: do one thing well (emit JSON lines), then pipe to external tools. Integrations exist (e.g., pino-datadog), but they’re often separate processes, not in-process transports.

loglevel supports plugins for things like prefixing or localStorage persistence, but nothing for remote shipping.

debug has no extension mechanism — it’s intentionally minimal.

bunyan supports custom streams (its version of transports), but the ecosystem is smaller than Winston’s.

🧪 Development Experience: Filtering and Debugging

During local development, you want fine-grained control over what logs appear.

debug excels here. Set localStorage.debug = 'myapp:*' in the browser or DEBUG=myapp:* node app.js in Node to enable only relevant logs.

// debug: Namespace-based filtering
const log = require('debug')('myapp:auth');
log('Login attempt'); // Only shows if DEBUG includes 'myapp:auth'

loglevel lets you set global or individual logger levels at runtime — useful for enabling trace logs in a live browser session.

winston and log4js support per-logger levels but require programmatic changes or config reloads, which is clunkier for ad-hoc debugging.

pino and bunyan rely on external tools for filtering (e.g., grep or log shipper rules), which isn’t ideal during active development.

🛑 What About Deprecation or Maintenance?

None of these packages are officially deprecated. However, bunyan has seen minimal updates in recent years, and its author recommends pino for new projects. While still functional, it’s effectively in maintenance mode.

🤝 Key Similarities Across All Libraries

Despite their differences, these loggers share common ground:

1. Support Standard Log Levels

All provide at least error, warn, info, and debug (or equivalent). This enables consistent severity-based filtering.

// Common pattern across libraries
logger.error('Database connection failed');
logger.warn('Deprecated API used');
logger.info('Server started');
logger.debug('Request payload:', payload);

2. Allow Custom Metadata

You can attach context like user IDs, request IDs, or timestamps to enrich logs.

// winston example
logger.info('Payment processed', { userId: 456, amount: 29.99 });

// pino example
logger.info({ userId: 456, amount: 29.99 }, 'Payment processed');

3. Enable Conditional Logging

All respect log level thresholds — calls below the current level are no-ops, minimizing runtime cost.

4. Work with Modern Toolchains

Each supports ES modules (either natively or via bundlers like Webpack or Vite), TypeScript definitions, and tree-shaking where applicable.

5. Integrate with Observability Stacks

Whether you use ELK, Grafana Loki, Datadog, or Splunk, structured logs from any of these can feed into your pipeline — though pino and bunyan require less transformation due to native JSON.

📊 Summary: When to Use Which Logger

ScenarioBest ChoiceWhy
Frontend-only app, small bundleloglevelTiny, browser-native, clean console output
Library author needing dev-time debug logsdebugZero-config, namespace filtering, universal support
High-performance Node.js servicepinoBlazing fast, structured JSON, async-friendly
Full-stack app needing consistencywinstonUnified API across environments, rich transport ecosystem
Migrating from Java/Log4jlog4jsFamiliar concepts (appenders, categories), config-driven
Legacy Node.js project (avoid new)bunyanStill works, but prefer pino for new work

💡 Final Recommendation

For new frontend projects, start with loglevel — it’s purpose-built for the browser and gets out of your way. If you’re building a library, sprinkle in debug for optional developer diagnostics.

For Node.js backends, pino is the modern default for performance-critical services. Choose winston if you need maximum flexibility in routing logs to multiple destinations without external tooling.

Avoid mixing more than two loggers in one codebase — it creates inconsistency and complicates log aggregation. Pick one primary logger and stick with it across your stack where possible.

How to Choose: loglevel vs bunyan vs debug vs log4js vs pino vs winston

  • loglevel:

    Choose loglevel for frontend applications where you need a tiny, browser-first logging solution with standard log levels (trace to error) and plugin support. It’s ideal when bundle size matters, you want clean console output, and you don’t need structured logging or server-side features. Avoid it if you require JSON output, log rotation, or advanced transport mechanisms.

  • bunyan:

    Choose bunyan if you're working in a Node.js environment and need structured JSON logging with strong CLI tooling for log inspection. It’s not ideal for browser use due to its Node-centric design and lack of lightweight browser builds. Avoid it for frontend-only projects or when human-readable console output is preferred during development.

  • debug:

    Choose debug when you need a minimal, zero-dependency utility for conditional logging during development, especially for library authors or internal debugging workflows. It shines with its simple namespace-based filtering via the DEBUG environment variable but lacks production-grade features like log levels, transports, or structured output—so don’t use it as your primary application logger in production.

  • log4js:

    Choose log4js if you’re migrating from Java’s Log4j ecosystem or need a familiar hierarchical logger with appenders, categories, and configuration-driven behavior. It supports both Node.js and browser environments and offers decent flexibility, but its API can feel verbose compared to modern alternatives, and performance isn’t optimized for high-throughput scenarios.

  • pino:

    Choose pino when performance and structured JSON logging are critical—especially in high-throughput Node.js services. Its asynchronous, stream-based design minimizes overhead, and it integrates well with log aggregation pipelines. While browser support exists via pino-browser, it’s less ergonomic than dedicated frontend loggers; best paired with a backend logging strategy rather than used standalone in the browser.

  • winston:

    Choose winston if you need a highly configurable, transport-agnostic logging system that works consistently across Node.js and browser environments. Its modular architecture supports multiple outputs (console, file, HTTP, etc.) simultaneously and allows custom formatting and filtering. It’s a solid default choice for full-stack apps but may be overkill for simple frontend-only logging needs.

README for loglevel

loglevel NPM version NPM downloads Build Status

Don't debug with logs alone - check out HTTP Toolkit: beautiful, powerful & open-source tools for building, testing & debugging HTTP(S)

Minimal lightweight simple logging for JavaScript (browsers, node.js or elsewhere). loglevel extends console.log() & friends with level-based logging and filtering, with none of console's downsides.

Test it out live in your browser console at https://pimterry.github.io/loglevel/demo/index.html

Loglevel is a barebones reliable everyday logging library. It does not do fancy things, it does not let you reconfigure appenders or add complex log filtering rules or boil tea (more's the pity), but it does have the all core functionality that you actually use:

Features

Simple

  • Log things at a given level (trace/debug/info/warn/error) to the console object (as seen in all modern browsers & node.js).
  • Filter logging by level (all the above or 'silent'), so you can disable all but error logging in production, and then run log.setLevel("trace") in your console to turn it all back on for a furious debugging session.
  • Single file, no dependencies, weighs in at 1.4 KB minified and gzipped.

Effective

  • Log methods gracefully fall back to simpler console logging methods if more specific ones aren't available: so calls to log.debug() go to console.debug() if possible, or console.log() if not.
  • Logging calls still succeed even if there's no console object at all, so your site doesn't break when people visit with old browsers that don't support the console object (here's looking at you, IE) and similar.
  • This then comes together giving a consistent reliable API that works in every JavaScript environment with a console available, and never breaks anything anywhere else.

Convenient

  • Log output keeps line numbers: most JS logging frameworks call console.log methods through wrapper functions, clobbering your stacktrace and making the extra info many browsers provide useless. We'll have none of that thanks.
  • It works with all the standard JavaScript loading systems out of the box (CommonJS, AMD, or just as a global).
  • Logging is filtered to "warn" level by default, to keep your live site clean in normal usage (or you can trivially re-enable everything with an initial log.enableAll() call).
  • Magically handles situations where console logging is not initially available (IE8/9), and automatically enables logging as soon as it does become available (when developer console is opened).
  • TypeScript type definitions included, so no need for extra @types packages.
  • Extensible, to add other log redirection, filtering, or formatting functionality, while keeping all the above (except you will clobber your stacktrace, see “Plugins” below).

Downloading loglevel

If you're using NPM, you can just run npm install loglevel.

Alternatively, loglevel is also available via Bower (bower install loglevel), as a Webjar, or an Atmosphere package (for Meteor)

Alternatively if you just want to grab the file yourself, you can download either the current stable production version or the development version directly, or reference it remotely on unpkg at https://unpkg.com/loglevel/dist/loglevel.min.js (this will redirect to a latest version, use the resulting redirected URL if you want to pin that version).

Finally, if you want to tweak loglevel to your own needs or you immediately need the cutting-edge version, clone this repo and see Developing & Contributing below for build instructions.

Setting it up

loglevel supports AMD (e.g. RequireJS), CommonJS (e.g. Node.js) and direct usage (e.g. loading globally with a <script> tag) loading methods. You should be able to do nearly anything, and then skip to the next section anyway and have it work. Just in case, though, here's some specific examples that definitely do the right thing:

CommonsJS (e.g. Node)

var log = require('loglevel');
log.warn("unreasonably simple");

AMD (e.g. RequireJS)

define(['loglevel'], function(log) {
   log.warn("dangerously convenient");
});

Directly in your web page

<script src="loglevel.min.js"></script>
<script>
log.warn("too easy");
</script>

As an ES6 module

loglevel is written as a UMD module, with a single object exported. Unfortunately, ES6 module loaders & transpilers don't all handle this the same way. Some will treat the object as the default export, while others use it as the root exported object. In addition, loglevel includes a default property on the root object, designed to help handle this difference. Nonetheless, there are two possible syntaxes that might work for you:

For most tools, using the default import is the most convenient and flexible option:

import log from 'loglevel';
log.warn("module-tastic");

For some tools though, it might better to wildcard import the whole object:

import * as log from 'loglevel';
log.warn("module-tastic");

There's no major difference, unless you're using TypeScript & building a loglevel plugin (in that case, see https://github.com/pimterry/loglevel/issues/149). In general though, just use whichever suits your environment, and everything should work out fine.

With noConflict()

If you're using another JavaScript library that exposes a log global, you can run into conflicts with loglevel. Similarly to jQuery, you can solve this by putting loglevel into no-conflict mode immediately after it is loaded onto the page. This resets the log global to its value before loglevel was loaded (typically undefined), and returns the loglevel object, which you can then bind to another name yourself.

For example:

<script src="loglevel.min.js"></script>
<script>
var logging = log.noConflict();

logging.warn("still pretty easy");
</script>

TypeScript

loglevel includes its own type definitions, assuming you're using a modern module environment (e.g. Node.JS, webpack, etc), you should be able to use the ES6 syntax above, and everything will work immediately. If not, file a bug!

If you really want to use LogLevel as a global however, but from TypeScript, you'll need to declare it as such first. To do that:

  • Create a loglevel.d.ts file

  • Ensure that file is included in your build (e.g. add it to include in your tsconfig, pass it on the command line, or use ///<reference path="./loglevel.d.ts" />)

  • In that file, add:

    import * as log from 'loglevel';
    export as namespace log;
    export = log;
    

Documentation

Methods

The loglevel API is extremely minimal. All methods are available on the root loglevel object, which we suggest you name log (this is the default if you import it globally, and is what's set up in the above examples). The API consists of:

Logging Methods

5 actual logging methods, ordered and available as:

  • log.trace(msg)
  • log.debug(msg)
  • log.info(msg)
  • log.warn(msg)
  • log.error(msg)

log.log(msg) is also available, as an alias for log.debug(msg), to improve compatibility with console, and make migration easier.

Exact output formatting of these will depend on the console available in the current context of your application. For example, many environments will include a full stack trace with all trace() calls, and icons or similar to highlight other calls.

These methods should never fail in any environment, even if no console object is currently available, and should always fall back to an available log method even if the specific method called (e.g. warn) isn't available.

Be aware that this means that these methods won't always produce exactly the output you expect in every environment; loglevel only guarantees that these methods will never explode on you, and that it will call the most relevant method it can find, with your argument. For example, log.trace(msg) in Firefox before version 64 prints the stacktrace by itself, and doesn't include your message (see #84).

log.setLevel(level, [persist])

This disables all logging below the given level, so that after a log.setLevel("warn") call log.warn("something") or log.error("something") will output messages, but log.info("something") will not.

This can take either a log level name or 'silent' (which disables everything) in one of a few forms:

  • As a log level from the internal levels list, e.g. log.levels.SILENTfor type safety
  • As a string, like 'error' (case-insensitive) ← for a reasonable practical balance
  • As a numeric index from 0 (trace) to 5 (silent) ← deliciously terse, and more easily programmable (...although, why?)

Where possible, the log level will be persisted. LocalStorage will be used if available, falling back to cookies if not. If neither is available in the current environment (e.g. in Node), or if you pass false as the optional 'persist' second argument, persistence will be skipped.

If log.setLevel() is called when a console object is not available (in IE 8 or 9 before the developer tools have been opened, for example) logging will remain silent until the console becomes available, and then begin logging at the requested level.

log.setDefaultLevel(level)

This sets the current log level only if one has not been persisted and can’t be loaded. This is useful when initializing modules or scripts; if a developer or user has previously called setLevel(), this won’t alter their settings. For example, your application might use setDefaultLevel("error") set the log level to error in a production environment, but when debugging an issue, you might call setLevel("trace") on the console to see all the logs. If that error setting was set using setDefaultLevel(), it will still stay as trace on subsequent page loads and refreshes instead of resetting to error.

The level argument takes the same values that you might pass to setLevel(). Levels set using setDefaultLevel() never persist to subsequent page loads.

log.resetLevel()

This resets the current log level to the logger's default level (if no explicit default was set, then it resets it to the root logger's level, or to WARN) and clears the persisted level if one was previously persisted.

log.enableAll() and log.disableAll()

These enable or disable all log messages, and are equivalent to log.setLevel("trace") and log.setLevel("silent"), respectively.

log.getLevel()

Returns the current logging level, as a number from 0 (trace) to 5 (silent)

It's very unlikely you'll need to use this for normal application logging; it's provided partly to help plugin development, and partly to let you optimize logging code as below, where debug data is only generated if the level is set such that it'll actually be logged. This probably doesn't affect you, unless you've run profiling on your code and you have hard numbers telling you that your log data generation is a real performance problem.

if (log.getLevel() <= log.levels.DEBUG) {
  var logData = runExpensiveDataGeneration();
  log.debug(logData);
}

This notably isn't the right solution to avoid the cost of string concatenation in your logging. Firstly, it's very unlikely that string concatenation in your logging is really an important performance problem. Even if you do genuinely have hard metrics showing that it is, though, the better solution that wrapping your log statements in this is to use multiple arguments, as below. The underlying console API will automatically concatenate these for you if logging is enabled, and if it isn't then all log methods are no-ops, and no concatenation will be done at all.

// Prints 'My concatenated log message'
log.debug("My", "concatenated", "log message");

log.getLogger(loggerName)

This gets you a new logger object that works exactly like the root log object, but can have its level and logging methods set independently. All loggers must have a name (which is a non-empty string, or a Symbol). Calling getLogger() multiple times with the same name will return an identical logger object.

In large applications, it can be incredibly useful to turn logging on and off for particular modules as you are working with them. Using the getLogger() method lets you create a separate logger for each part of your application with its own logging level.

Likewise, for small, independent modules, using a named logger instead of the default root logger allows developers using your module to selectively turn on deep, trace-level logging when trying to debug problems, while logging only errors or silencing logging altogether under normal circumstances.

Example usage (using CommonJS modules, but you could do the same with any module system):

// In module-one.js:
var log = require("loglevel").getLogger("module-one");
function doSomethingAmazing() {
  log.debug("Amazing message from module one.");
}

// In module-two.js:
var log = require("loglevel").getLogger("module-two");
function doSomethingSpecial() {
  log.debug("Special message from module two.");
}

// In your main application module:
var log = require("loglevel");
var moduleOne = require("module-one");
var moduleTwo = require("module-two");
log.getLogger("module-two").setLevel("TRACE");

moduleOne.doSomethingAmazing();
moduleTwo.doSomethingSpecial();
// logs "Special message from module two."
// (but nothing from module one.)

Loggers returned by getLogger() support all the same properties and methods as the default root logger, excepting noConflict() and the getLogger() method itself.

Like the root logger, other loggers can have their logging level saved. If a logger’s level has not been saved, it will inherit the root logger’s level when it is first created. If the root logger’s level changes later, the new level will not affect other loggers that have already been created. Loggers with Symbol names (rather than string names) will always be considered unique instances, and will never have their logging level saved or restored.

Likewise, loggers inherit the root logger’s methodFactory. After creation, each logger can have its methodFactory independently set. See the plugins section below for more about methodFactory.

log.getLoggers()

This will return the dictionary of all loggers created with getLogger(), keyed by their names.

log.rebuild()

Ensure the various logging methods (log.info(), log.warn(), etc.) behave as expected given the currently set logging level and methodFactory. It will also rebuild all child loggers of the logger this was called on.

This is mostly useful for plugin development. When you call log.setLevel() or log.setDefaultLevel(), the logger is rebuilt automatically. However, if you change the logger’s methodFactory, you should use this to rebuild all the logging methods with your new factory.

It is also useful if you change the level of the root logger and want it to affect child loggers that you’ve already created (and have not called someChildLogger.setLevel() or someChildLogger.setDefaultLevel() on). For example:

var childLogger1 = log.getLogger("child1");
childLogger1.getLevel();  // WARN (inherited from the root logger)

var childLogger2 = log.getLogger("child2");
childLogger2.setDefaultLevel("TRACE");
childLogger2.getLevel();  // TRACE

log.setLevel("ERROR");

// At this point, the child loggers have not changed:
childLogger1.getLevel();  // WARN
childLogger2.getLevel();  // TRACE

// To update them:
log.rebuild();
childLogger1.getLevel();  // ERROR (still inheriting from root logger)
childLogger2.getLevel();  // TRACE (no longer inheriting because `.setDefaultLevel() was called`)

Plugins

Existing plugins

loglevel-plugin-prefix - plugin for loglevel message prefixing.

loglevel-plugin-remote - plugin for sending loglevel messages to a remote log server.

loglevel-serverSend - Forward your log messages to a remote server.

loglevel-debug - Control logging from a DEBUG environmental variable (similar to the classic Debug module).

Writing plugins

Loglevel provides a simple, reliable, minimal base for console logging that works everywhere. This means it doesn't include lots of fancy functionality that might be useful in some cases, such as log formatting and redirection (e.g. also sending log messages to a server over AJAX)

Including that would increase the size and complexity of the library, but more importantly would remove stacktrace information. Currently log methods are either disabled, or enabled with directly bound versions of the console.log methods (where possible). This means your browser shows the log message as coming from your code at the call to log.info("message!") not from within loglevel, since it really calls the bound console method directly, without indirection. The indirection required to dynamically format, further filter, or redirect log messages would stop this.

There's clearly enough enthusiasm for this even at that cost that loglevel now includes a plugin API. To use it, redefine log.methodFactory(methodName, logLevel, loggerName) with a function of your own. This will be called for each enabled method each time the level is set (including initially), and should return a function to be used for the given log method methodName, at the given configured (not actual) level logLevel, for a logger with the given name loggerName. If you'd like to retain all the reliability and features of loglevel, we recommended that you wrap the initially provided value of log.methodFactory.

For example, a plugin to prefix all log messages with "Newsflash: " would look like:

var originalFactory = log.methodFactory;
log.methodFactory = function (methodName, logLevel, loggerName) {
    var rawMethod = originalFactory(methodName, logLevel, loggerName);

    return function (message) {
        rawMethod("Newsflash: " + message);
    };
};
log.rebuild(); // Be sure to call the rebuild method in order to apply plugin.

(The above supports only a single string log.warn("...") argument for clarity, but it's easy to extend to a fuller variadic version.)

If you develop and release a plugin, please get in contact! I'd be happy to reference it here for future users. Some consistency is helpful; naming your plugin 'loglevel-PLUGINNAME' (e.g. loglevel-newsflash) is preferred, as is giving it the 'loglevel-plugin' keyword in your package.json.

Developing & Contributing

In lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality.

Builds can be run with npm: run npm run dist to build a distributable version of the project (in dist/), or npm test to just run the tests and linting. During development you can run npm run watch and it will monitor source files, and rerun the tests and linting as appropriate when they're changed.

Also, please don't manually edit files in the dist/ subdirectory as they are generated via Grunt. You'll find source code in the lib/ subdirectory!

Release process

To do a release of loglevel:

  • Update the version number in package.json and bower.json.
  • Run npm run dist to build a distributable version in dist/.
  • Update the release history in this file (below).
  • Commit the built code, tagging it with the version number and a brief message about the release.
  • Push to Github.
  • Run npm publish . to publish to NPM.

Release History

v0.1.0 - First working release with apparent compatibility with everything tested

v0.2.0 - Updated release with various tweaks and polish and real proper documentation attached

v0.3.0 - Some bugfixes (#12, #14), cookie-based log level persistence, doc tweaks, support for Bower and JamJS

v0.3.1 - Fixed incorrect text in release build banner, various other minor tweaks

v0.4.0 - Use LocalStorage for level persistence if available, compatibility improvements for IE, improved error messages, multi-environment tests

v0.5.0 - Fix for Modernizr+IE8 issues, improved setLevel error handling, support for auto-activation of desired logging when console eventually turns up in IE8

v0.6.0 - Handle logging in Safari private browsing mode (#33), fix TRACE level persistence bug (#35), plus various minor tweaks

v1.0.0 - Official stable release! Fixed a bug with localStorage in Android webviews, improved CommonJS detection, and added noConflict().

v1.1.0 - Added support for including loglevel with preprocessing and .apply() (#50), and fixed QUnit dep version which made tests potentially unstable.

v1.2.0 - New plugin API! Plus various bits of refactoring and tidy up, nicely simplifying things and trimming the size down.

v1.3.0 - Make persistence optional in setLevel(), plus lots of documentation updates and other small tweaks

v1.3.1 - With the new optional persistence, stop unnecessarily persisting the initially set default level (WARN)

v1.4.0 - Add getLevel(), setDefaultLevel() and getLogger() functionality for more fine-grained log level control

v1.4.1 - Reorder UMD (#92) to improve bundling tool compatibility

v1.5.0 - Fix log.debug (#111) after V8 changes deprecating console.debug, check for window upfront (#104), and add .log alias for .debug (#64)

v1.5.1 - Fix bug (#112) in level-persistence cookie fallback, which failed if it wasn't the first cookie present

v1.6.0 - Add a name property to loggers and add log.getLoggers() (#114), and recommend unpkg as CDN instead of CDNJS.

v1.6.1 - Various small documentation & test updates

v1.6.2 - Include TypeScript type definitions in the package itself

v1.6.3 - Avoid TypeScript type conflicts with other global log types (e.g. core-js)

v1.6.4 - Ensure package.json's "main" is a fully qualified path, to fix webpack issues

v1.6.5 - Ensure the provided message is included when calling trace() in IE11

v1.6.6 - Fix bugs in v1.6.5, which caused issues in node.js & IE < 9

v1.6.7 - Fix a bug in environments with window defined but no window.navigator

v1.6.8 - Update TypeScript type definitions to include log.log().

v1.7.0 - Add support for Symbol-named loggers, and a .default property to help with ES6 module usage.

v1.7.1 - Update TypeScript types to support Symbol-named loggers.

v1.8.0 - Add resetLevel() method to clear persisted levels & reset to defaults

v1.8.1 - Fix incorrect type definitions for MethodFactory

v1.9.0 - Added rebuild() method, overhaul dev & test setup, and fix some bugs (notably around cookies) en route

v1.9.1 - Fix a bug introduced in 1.9.0 that broke setLevel() in some ESM-focused runtime environments

v1.9.2 - Remove unnecessarily extra test & CI files from deployed package

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License

Copyright (c) 2013 Tim Perry Licensed under the MIT license. See LICENSE-MIT for full license text.