sloc
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| sloc | Statsd | |
|---|---|---|
| 2 | 6 | |
| 940 | 17,475 | |
| - | 0.5% | |
| 6.5 | 5.1 | |
| 3 months ago | 3 months ago | |
| CoffeeScript | JavaScript | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
sloc
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The #1 tip to familiarize with new JavaScript codebases
With long functions normally there comes large files as well. People tend to put everything into one file if they also put a lot into one function. So in theory we could take the lines of code as a measurement as well. There are a lot of utility packages out there that solve this problem. One of these tools is called sloc. It will output the number of lines of code within a file. But do not use it directly. The tool I mentioned before includes this by default.
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“Hello, World ” in zero lines of code
The title of the stackexchange discussion is a little misleading. It really is: '"Hello, World" in what sloc thinks is zero lines of source code'
Most of the top solutions seem to take advantage of bugs in the way sloc tries to parse commented lines. e.g. many are ////
And I'm surprised I don't see a related bug issue in the git repo: https://github.com/flosse/sloc/issues
Still this is a fun read. I'm curious to see what other tricks are out there.
Statsd
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
statsD for metrics
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Elixir metrics and StatsD
StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services.
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How to track profile page views per day, weekly, monthly and amount of times file was downloaded per product per day / week / month? - Without adding 1000+ database entries?
If you are essentially tracking an incremental number, statsd was made specifically for this task. It's lightning fast and you can setup different metrics for each scenario you mentioned.
- Help with getting started with Metrics, Logging and tracing
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Practical OCaml
It reads only 8 KB of data by default; this should be enough for StatsD metrics lines based on the StatsD documentation. Also, that's what Alan Ning's Rust implementation does.
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Introduction to StatsD
StatsD GitHub repository Scaling StatsD in DoorDash Netdata StatsD reference documentation
What are some alternatives?
code-maat - A command line tool to mine and analyze data from version-control systems
Collectd - The system statistics collection daemon. Please send Pull Requests here!
NVIDIA-vBIOS-VFIO-Patcher - A Python script to patch NVIDIA vBIOS dumps into a format compatible with VFIO passthrough
prometheus - The Prometheus monitoring system and time series database.
Blitz - ⚡️ The Missing Fullstack Toolkit for Next.js
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
linuxconsole - http://sourceforge.net/projects/linuxconsole/
Graphite - A highly scalable real-time graphing system
code-complexity - Measure the churn/complexity ratio. Higher values mean hotspots where refactorings should happen.
tcollector - Data collection framework for OpenTSDB
sematext-agent-express - Express.js Monitoring and Logging Agent by Sematext
Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.