Colorful, flexible, lightweight logging for Swift 3, Swift 4 & Swift 5.
Great for development & release with support for Console, File & cloud platforms.
Log during release to the conveniently built-in SwiftyBeaver Platform, the dedicated Mac App & Elasticsearch!
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During Development: Colored Logging to Xcode Console
Learn more about colored logging to Xcode 8 Console with Swift 3, 4 & 5. For Swift 2.3 use this Gist. No need to hack Xcode 8 anymore to get color. You can even customize the log level word (ATTENTION instead of ERROR maybe?), the general amount of displayed data and if you want to use the
During Development: Colored Logging to File
Learn more about logging to file which is great for Terminal.app fans or to store logs on disk.
On Release: Encrypted Logging to SwiftyBeaver Platform
Learn more about logging to the SwiftyBeaver Platform during release!
Browse, Search & Filter via Mac App
Conveniently access your logs during development & release with our free Mac App.
On Release: Enterprise-ready Logging to Your Elasticsearch & Kibana (on-premise)
Learn more about legally compliant, end-to-end encrypted logging to Elasticsearch with SwiftyBeaver Enterprise. Install via Docker or manual, fully-featured free trial included!
Google Cloud & More
You can fully customize your log format, turn it into JSON, or create your own destinations. For example our Google Cloud Destination is just another customized logging format which adds the powerful functionality of automatic server-side Swift logging when hosted on Google Cloud Platform.
- For Swift 3, 4 & 5 install the latest SwiftyBeaver version
- For Swift 2 install SwiftyBeaver 0.7.0
You can use Carthage to install SwiftyBeaver by adding that to your Cartfile:
Swift 3, 4 & 5:
github "SwiftyBeaver/SwiftyBeaver" ~> 0.7
Swift Package Manager
For Swift Package Manager add the following package to your Package.swift file. Just Swift 3, 4 & 5 are supported:
.package(url: "https://github.com/SwiftyBeaver/SwiftyBeaver.git", .upToNextMajor(from: "1.7.0")),
To use CocoaPods just add this to your Podfile:
Swift 3, 4 & 5:
target 'MyProject' do use_frameworks! # Pods for MyProject pod 'SwiftyBeaver', '~> 0.7' end post_install do |installer| installer.pods_project.build_configurations.each do |config| # Configure Pod targets for Xcode 8 with Swift 2.3 config.build_settings['SWIFT_VERSION'] = '2.3' end end
Add that near the top of your
AppDelegate.swift to be able to use SwiftyBeaver in your whole project.
import SwiftyBeaver let log = SwiftyBeaver.self
At the the beginning of your
AppDelegate:didFinishLaunchingWithOptions() add the SwiftyBeaver log destinations (console, file, etc.), optionally adjust the log format and then you can already do the following log level calls globally:
// add log destinations. at least one is needed! let console = ConsoleDestination() // log to Xcode Console let file = FileDestination() // log to default swiftybeaver.log file let cloud = SBPlatformDestination(appID: "foo", appSecret: "bar", encryptionKey: "123") // to cloud // use custom format and set console output to short time, log level & message console.format = "$DHH:mm:ss$d $L $M" // or use this for JSON output: console.format = "$J" // add the destinations to SwiftyBeaver log.addDestination(console) log.addDestination(file) log.addDestination(cloud) // Now let’s log! log.verbose("not so important") // prio 1, VERBOSE in silver log.debug("something to debug") // prio 2, DEBUG in green log.info("a nice information") // prio 3, INFO in blue log.warning("oh no, that won’t be good") // prio 4, WARNING in yellow log.error("ouch, an error did occur!") // prio 5, ERROR in red // log anything! log.verbose(123) log.info(-123.45678) log.warning(Date()) log.error(["I", "like", "logs!"]) log.error(["name": "Mr Beaver", "address": "7 Beaver Lodge"]) // optionally add context to a log message console.format = "$L: $M $X" log.debug("age", 123) // "DEBUG: age 123" log.info("my data", context: [1, "a", 2]) // "INFO: my data [1, \"a\", 2]"
# create docker image, build SwiftyBeaver and run unit tests swift build --clean && docker build --rm -t swiftybeaver . # optionally log into container to run Swift CLI and do more stuff docker run --rm -it --privileged=true -v $PWD:/app swiftybeaver
- Colored Logging to Xcode Console
- Colored Logging to File
- Encrypted Logging & Analytics to SwiftyBeaver Platform
- Encrypted Logging & Analytics to Elasticsearch & Kibana
SwiftyBeaver is not collecting any data without you as a developer knowing about it. That's why it is open-source and developed in a simple way to be easy to inspect and check what it is actually doing under the hood.
The only sending to servers is done if you use the
SBPlatformDestination. That destination is meant for production logging and on default it sends your logs plus additional device information end-to-end encrypted to our cloud service. Our cloud service can not decrypt the data.
Instead, you install our Mac App and that Mac App downloads the encrypted logs from the cloud and decrypts and shows them to you. Additionally, the Mac App stores all data that it downloads in a local SQLite database file on your computer so that you actually "physically" own your data.
The business model of the SwiftyBeaver cloud service is to provide the most secure logging solution in the market. On purpose we do not provide a web UI for you because it would require us to store your encryption key on our servers.
Only you can see the logging and device data which is sent from your users' devices. Our servers just see encrypted data and do not know your decryption key.
SwiftyBeaver is fully GDPR compliant due to its focus on encryption and transparency in what data is collected and also meets Apple’s latest requirements on the privacy of 3rd party frameworks.
Our Enterprise offering is an even more secure solution where you are not using anymore our cloud service and Mac App but you send your end-to-end encrypted logs directly to your own servers and you store them in your Elasticsearch cluster. The Enterprise offering is used by health tech and governmental institutions which require the highest level of privacy and security.
SwiftyBeaver Framework is released under the MIT License.