# gityuanbao/share

Repository: https://github.com/gityuanbao/share
Canonical: https://ross.abutalabs.com/products/share
Language: Python
License Family: other
Last push: 2026-07-11T08:37:27+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 50
- inputs: {"age_days": 706, "days_push": 53, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1201, forks 88 (observed 2026-08-28T04:03:58.253954+00:00)

## What it is
A personal open-source repository whose main component is akshare_collector, a Python tool built on AKShare that collects Chinese financial market data (A-shares, Hong Kong stocks, futures, macro indicators, news, announcements, sector and fund-flow data) via configurable modules. The repo also hosts a collection of AI tutorial links and resource documents.

## Use cases
- collect daily A-share stock quotes into local files
- scrape hong kong stock and futures market data
- download macroeconomic indicators and financial news with akshare
- schedule batch collection of company announcements and sector fund flows
- run individual data collection modules from the command line

## When to choose
- you need batch collection of China market data from AKShare with modular scheduling
- you want a configurable Python pipeline for stock, futures, and macro data with logging

## When to avoid
- you need real-time streaming market data or a broker trading API
- you need non-Chinese market data sources
- you want a maintained library with a license and tests rather than a personal collection project

## Facets
- artifact type: cli-tool
- maturity: active
- function: etl, web-scraping, data-science, cli
- domain: fintech, big-data, developer-tools
- platform: python, cli, cross-platform
- tags: akshare, quantitative-finance, stock-data, china-markets, financial-data-collection, tutorial-collection, data-engineering

## Member repositories
- gityuanbao/share (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.253954+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 2026-08-30T06:20:40.988251+00:00, confidence not recorded.
  - readme: https://github.com/gityuanbao/share (fetched 2026-08-28T04:03:58.253954+00:00, sha a225ee3a82dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.