CocoaLumberjack vs Zap | What are the differences? | StackShare

CocoaLumberjack vs Zap

Overview

CocoaLumberjack

Stacks57

Followers34

Votes0

GitHub Stars13.3K

Forks2.3K

Zap

Stacks10

Followers33

Votes0

GitHub Stars23.9K

Forks1.5K

CocoaLumberjack vs Zap: What are the differences?

CocoaLumberjack: A fast & simple, yet powerful & flexible logging framework for Mac and iOS. CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for Mac and iOS; Zap: Blazing fast, structured, leveled logging in Go (by Uber). Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.

CocoaLumberjack and Zap can be primarily classified as "Logging" tools.

CocoaLumberjack and Zap are both open source tools. CocoaLumberjack with 11.4K GitHub stars and 1.97K forks on GitHub appears to be more popular than Zap with 7.22K GitHub stars and 553 GitHub forks.

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Detailed Comparison

CocoaLumberjack	Zap
CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for Mac and iOS.	Zap takes a different approach. It includes a reflection-free, zero-allocation JSON encoder, and the base Logger strives to avoid serialization overhead and allocations wherever possible. By building the high-level SugaredLogger on that foundation, zap lets users choose when they need to count every allocation and when they'd prefer a more familiar, loosely typed API.
Statistics
GitHub Stars 13.3K	GitHub Stars 23.9K
GitHub Forks 2.3K	GitHub Forks 1.5K
Stacks 57	Stacks 10
Followers 34	Followers 33
Votes 0	Votes 0
Integrations
No integrations available	Golang

What are some alternatives to CocoaLumberjack, Zap?

Seq

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

Loki

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.

Log4j

It is an open source logging framework. With this tool – logging behavior can be controlled by editing a configuration file only without touching the application binary and can be used to store the Selenium Automation flow logs.

Castle Core

It provides common Castle Project abstractions including logging services. It also features Castle DynamicProxy a lightweight runtime proxy generator, and Castle DictionaryAdapter.

Bunyan

It is a simple and fast JSON logging module for node.js services. It has extensible streams system for controlling where log records go (to a stream, to a file, log file rotation, etc.)

Fluent Bit

It is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments.

uno

We built uno, a small tool similar to uniq (the UNIX CLI tool that removes duplicates) - but with fuzziness. uno considers two lines to be equal if their edit distance is less than a specified threshold, by default set to 30%. It reads from stdin and prints the deduplicated lines to stdout.

NanoLog

It is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API and achieves over 80 million logs/second at a median latency of just over 7 nanoseconds.

SwiftyBeaver

It is Swift-based logging framework for iOS and macOS. It has different types of log messages where also we can filter logs to make bug checking even easier and has a free license plan.

LogDevice

LogDevice is a scalable and fault tolerant distributed log system. While a file-system stores and serves data organized as files, a log system stores and delivers data organized as logs. The log can be viewed as a record-oriented, append-only, and trimmable file.