tech-debt
chipseq-smk-pipeline
tech-debt | chipseq-smk-pipeline | |
---|---|---|
1 | 2 | |
2 | 3 | |
- | - | |
0.0 | 6.3 | |
about 3 years ago | 22 days ago | |
Python | Python | |
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.
tech-debt
-
The True Meaning of Technical Debt
One problem with technical tech is that it often talked about abstractly : "there is technical debt", "There are code smells", etc.
But if we want to use technical tech as a tool practically, we should be able to quantify the technical debt precisely.
We should be able to say I have 10 000 € per day or 100 000 € of technical debt.
I have developed (very early stage) a tool to quantify technical debt : I appreciate any feedback (if stated kindly :p)
https://github.com/lcetinsoy/tech-debt
chipseq-smk-pipeline
What are some alternatives?
RVS_Spinner - A Fancy "Popup Prize-Wheel Spinner" UIControl
atlas - ATLAS - Three commands to start analyzing your metagenome data
sonar-flutter - SonarQube plugin for Flutter / Dart
Pipeliner - An open-source and scalable solution to NGS analysis powered by the NIH's Biowulf cluster.
git-code-debt - A dashboard for monitoring code debt in a git repository.
chipseq - ChIP-seq peak-calling, QC and differential analysis pipeline.
kneaddata - Quality control tool on metagenomic and metatranscriptomic sequencing data, especially data from microbiome experiments.
RVS_Checkbox - A simple, UIKit "three-state" checkbox, written in Swift.