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NaiboWang/CommandlineConfig

A library for users to write (experiment in research) configurations in Python Dict or JSON format, read and write parameter value via dot . in code, while can read parameters from the command line to modify values. 一个供用户以Python Dict或JSON格式编写(科研中实验)配置的库,在代码中用点.读写属性,同时可以从命令行中读取参数配置并修改参数值。 observed · 2026-08-28

github.com/NaiboWang/CommandlineConfig · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1445
  • days_rel: n/a
  • days_push: 741
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1510 stars · 168 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library that lets users define experiment configurations as Python dicts or JSON and access parameters via dot notation, while allowing command-line overrides with --flags. It is aimed at research experiment parameter management.

Use cases

  • manage experiment hyperparameters in python research scripts
  • override config values from the command line
  • access nested config parameters with dot notation
  • load configuration from a json file
  • print parameter help via -h

When to choose

  • you want dict/json-based config with attribute-style access in python
  • you need simple command-line overrides for research experiments
  • you want nested parameter support without heavy frameworks

When to avoid

  • you need a full-featured config system like hydra or pydantic-settings
  • you need yaml/toml config files
  • you need environment-variable-based configuration

Facets

library · maturity active

configuration-management cli developer-tools developer-tools machine-learning python cli cross-platform argument-parser dot-notation experiment-config research json-config command-line

1 source

Member repositories

RepositoryRoleHealth v2
NaiboWang/CommandlineConfigmain23

For agents

markdown · JSON · MCP: product_card(name="NaiboWang/CommandlineConfig")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem