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fabiocaccamo/python-benedict

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities. observed · 2026-08-28

github.com/fabiocaccamo/python-benedict · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

88/100

  • Activity 99
  • Release rhythm 68
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 91
  • age_days: 2665
  • days_rel: 57
  • days_push: 9
  • n_releases_24m: 6

Full methodology

Adoption not part of the score

1610 stars · 50 forks observed · 2026-08-28

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

python-benedict is a Python dict subclass that adds keylist/keypath/keyattr access and normalized I/O for many formats (, yaml, toml, xml, csv, ini, plist, base64, xls, query-string, pickle, html). It also ships many dict utilities like flatten, merge, filter, traverse, and nest, while remaining 100% backward-compatible with plain dicts.

Use cases

  • read and write , yaml, toml, xml, csv files as dicts
  • access nested dict values with dot keypaths
  • flatten and unflatten nested dictionaries
  • merge and deep-update dictionaries
  • load a dict from a url or file in any supported format
  • convert between config formats like ini, toml, and yaml
  • clean, filter, and normalize messy nested data

When to choose

  • you work with deeply nested dicts and want safe keypath access
  • you need to read/write many serialization formats with one consistent api
  • you want dict utilities (flatten, merge, filter) without writing them yourself
  • you need a drop-in dict subclass that is backward-compatible

When to avoid

  • you only need simple parsing (use the stdlib)
  • you need schema validation as the primary feature (use pydantic directly)
  • you want immutable or typed data structures rather than a mutable dict

Facets

library · maturity stable

serialization parser developer-tools developer-tools files python cross-platform dict-subclass keypath keylist io yaml toml xml csv plist base64 xls query-string utilities data-engineering

2 sources

Member repositories

RepositoryRoleHealth v2
fabiocaccamo/python-benedictmain88

For agents

markdown · JSON · MCP: product_card(name="fabiocaccamo/python-benedict")

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