# cncases/cases

中国裁判文书网本地搜索

Repository: https://github.com/cncases/cases
Canonical: https://ross.abutalabs.com/products/cases
Homepage: https://caseopen.org
Language: Rust
License: MPL-2.0
License Family: copyleft
Topics: wenshu
Last push: 2026-08-10T08:33:57+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 83, longevity 68
- inputs: {"age_days": 962, "days_push": 23, "days_rel": 39, "gap_med": 78, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1096, forks 142 (observed 2026-08-28T04:03:33.935623+00:00)

## What it is
A self-hosted Rust application for locally searching over 85 million Chinese court judgment documents from the China Judgments Online website (裁判文书网). It converts raw downloaded data into a local database, builds a full-text search index, and serves a web search interface, with optional semantic search via Qdrant vector index.

## Use cases
- search Chinese court judgments locally
- self-host a legal case search engine
- full-text search over 85 million Chinese legal documents
- build a searchable database from wenshu raw data
- add semantic search to court judgment corpus
- avoid relying on the official China Judgments Online website

## When to choose
- you need offline/local search over the full Chinese judgment corpus
- you have 320GB+ disk space and want a self-hosted legal search service
- you want optional vector/semantic search on top of keyword search

## When to avoid
- you lack hundreds of gigabytes of disk space or hours for data conversion and indexing
- you only need occasional lookups on the official site
- you need non-Chinese legal documents

## Facets
- artifact type: application
- maturity: active
- function: search-engine, database, rag
- domain: legal, self-hosted, databases
- platform: windows, cli, self-hosted
- tags: chinese-court-judgments, full-text-search, wenshu, legal-documents, local-search, qdrant, semantic-search, search, linux, macos

## Member repositories
- cncases/cases (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.935623+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:47:10.046443+00:00, confidence not recorded.
  - readme: https://github.com/cncases/cases (fetched 2026-08-28T04:03:33.935623+00:00, sha 9b7623419cbe)
- Data as of 2026-08-30T08:39:29.467469+00:00.