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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. CocoaLumberjack vs uno

CocoaLumberjack vs uno

OverviewComparisonAlternatives

Overview

CocoaLumberjack
CocoaLumberjack
Stacks57
Followers34
Votes0
GitHub Stars13.3K
Forks2.3K
uno
uno
Stacks29
Followers51
Votes0

CocoaLumberjack vs uno: What are the differences?

What is 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.

What is uno? A uniq like CLI tool for log data. 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.

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

CocoaLumberjack is an open source tool with 11.4K GitHub stars and 1.97K GitHub forks. Here's a link to CocoaLumberjack's open source repository on GitHub.

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Detailed Comparison

CocoaLumberjack
CocoaLumberjack
uno
uno

CocoaLumberjack is a fast & simple, yet powerful & flexible logging framework for Mac and iOS.

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.

Statistics
GitHub Stars
13.3K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
57
Stacks
29
Followers
34
Followers
51
Votes
0
Votes
0

What are some alternatives to CocoaLumberjack, uno?

Seq

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

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

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

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

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

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.

Zap

Zap

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.

SwiftyBeaver

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.

NanoLog

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.

LogDevice

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.

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