mahmoud/glom
☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️ observed · 2026-08-28
Health v2 · maintenance only
74/100
- Activity 93
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: n/a
- age_days: 3059
- days_rel: n/a
- days_push: 47
- n_releases_24m: 0
Adoption not part of the score
2163 stars · 77 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
glom is a Python library and CLI for declaratively accessing, transforming, and restructuring nested data structures like dicts, lists, and objects. It provides path-based access with readable error messages and a command-line tool for working with JSON, YAML, TOML, and Python data.
Use cases
- extract nested fields from api responses
- transform deeply nested dictionaries in python
- query files from the command line
- restructure nested data declaratively
- get better error messages when accessing missing nested keys
- flatten and reshape nested config data
- debug and explore nested data structures interactively
When to choose
- you frequently access or reshape deeply nested dicts, lists, or objects in Python
- you want declarative, reusable data transformation specs instead of chained indexing
- you need a quick CLI to query and transform JSON/YAML/TOML files
- unclear errors from nested key access are slowing you down
When to avoid
- your data is flat or only one level deep - plain dict access is simpler
- you need high-performance bulk ETL over huge datasets
- you prefer schema validation libraries like pydantic for structuring data
- you're working outside the Python ecosystem
Facets
library · maturity active
serialization cli developer-tools developer-tools apis python cli cross-platform nested-data data-transformation declarative path-access yaml toml data-engineering command-line
2 sources
- readme: https://github.com/mahmoud/glom · fetched 2026-08-28 · 297644ae10a5
- registry_pypi: https://pypi.org/pypi/glom/json · fetched 2026-08-29 · 3372e83d542d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mahmoud/glom | main | 74 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem