xop-go
memphis.go
xop-go | memphis.go | |
---|---|---|
2 | 3 | |
5 | 38 | |
- | - | |
6.8 | 9.1 | |
3 months ago | 3 months ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xop-go
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Rethinking logging levels
I'm building a logging/tracing system -- see xop. I'm trying to make it stand out from the competition (which I see as slog and Open Telemetry -- zap and zerolog do not integrate with tracing well enough). As such, I'm examining each aspect of logging and asking myself what I can do better.
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New Open source Go projects looking for contributors
I'm working on a combined/logging tracing system. It's highly unstable right now. What I need most right now is feedback on the APIs. https://github.com/muir/xoplog
memphis.go
- New Open source Go projects looking for contributors
- Go SDK open source feedback
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Looking for feedback to get better
You can check it out here 👇 https://github.com/memphisdev/memphis.go
What are some alternatives?
slog - 📑 Lightweight, configurable, extensible logging library written in Go. Support multi level, multi outputs and built-in multi file logger, buffers, clean, rotate-file handling.一个易于使用的,轻量级、可配置、可扩展的日志库。支持多个级别,输出到多文件;内置文件日志处理、自动切割、清理、压缩等增强功能
particleui - A library to make frontend app development as simple as possible.
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dynaQ - An extension for Go's sql package in the standard library to support dynamic queries directly from the database, as well as on individual database connections
usql - Universal command-line interface for SQL databases
locking-center - Locking-Center provides very useful primitive service in many environments where different processes must operate with shared resources in a mutually exclusive way.
kertish-dfs - Kertish-dfs is a simple distributed storage platform, implements file storage on a single distributed computer cluster, and provides interfaces for file/folder handling. Kertish-dfs aims primarily for completely distributed operation without a single point of failure, scalable to the exabyte level.
situation - Autonomous IT data collector