google/mangle
None observed · 2026-10-15
Health v2 · maintenance only
73/100
- Activity 99
- Release rhythm 23
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 163
- age_days: 1426
- days_rel: 353
- days_push: 7
- n_releases_24m: 2
Adoption not part of the score
2993 stars · 158 forks observed · 2026-10-15
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Mangle is a deductive database programming language implemented as an embeddable Go library. It extends Datalog with aggregation, function calls, and optional type-checking to uniformly query and integrate data from multiple sources.
Use cases
- query data from multiple sources with a uniform declarative language
- write recursive rules over relational data
- detect vulnerable software dependencies like log4j via logic rules
- embed a Datalog engine into Go applications
- model domain knowledge with machine-readable rules
- build a deductive database gRPC service
When to avoid
- you need guaranteed termination for all programs, since extensions can lose it
- you need a production-hardened, officially supported database product
- you want a standalone database server rather than an embeddable library
- your team is unfamiliar with logic programming paradigms
Facets
library · maturity active
programming-language interpreter database parser databases programming-languages artificial-intelligence go cross-platform datalog deductive-database declarative-language logic-programming knowledge-representation query-language algorithms
1 source
- readme: https://github.com/google/mangle · fetched 2026-10-15 · 00ef00bdf492
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google/mangle | main | 73 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem