666ghj/BettaFish
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。 observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 62
- Longevity 56
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 13
- age_days: 793
- days_rel: 253
- days_push: 8
- n_releases_24m: 6
Adoption not part of the score
42090 stars · 7622 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
BettaFish (微舆) is a from-scratch multi-agent public opinion analysis system in Python that monitors 30+ social media platforms, analyzes millions of comments, and generates in-depth research reports. It combines five specialized agents, a crawler cluster, sentiment analysis models, and a debate-style 'forum' collaboration mechanism, all driven by conversational user queries.
Use cases
- analyze public opinion about a brand or event on social media
- monitor mentions of a topic across weibo, xiaohongshu, douyin and other platforms
- generate a sentiment analysis report from millions of user comments
- break out of information bubbles by aggregating diverse public viewpoints
- predict future trends of a public opinion event
- crawl and analyze short video content for sentiment
- chat-style deep research on trending topics
When to choose
- you need automated, multi-platform social media opinion monitoring and reporting
- you want a self-hosted multi-agent analysis pipeline without depending on agent frameworks
- you need multimodal analysis including short videos and structured info cards
- you want agent debate mechanisms to reduce single-model bias
When to avoid
- you need a lightweight library to embed in your own app rather than a full application
- you require platforms or languages outside Python
- you need real-time sub-second analytics rather than report-style analysis
- strict licensing requirements conflict with GPL-2.0
Facets
application · maturity active
agent-framework nlp web-scraping data-science chat-interface web-framework machine-learning artificial-intelligence data-science social-media analytics web-development python self-hosted cross-platform public-opinion-analysis sentiment-analysis multi-agent-system deep-research social-media-monitoring report-generation crawler llm ai-agents natural-language-processing docker web-server
4 sources
- readme: https://github.com/666ghj/BettaFish · fetched 2026-08-28 · 09bf5f8f7676
- homepage: https://deepwiki.com/666ghj/BettaFish · fetched 2026-08-29 · a0117226c655
- site_page: https://deepwiki.com/666ghj/BettaFish/2-getting-started · fetched 2026-08-29 · 6ee2b235d476
- site_page: https://deepwiki.com/666ghj/BettaFish/2.1-installation · fetched 2026-08-29 · 305e41f3850b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| 666ghj/BettaFish | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="666ghj/BettaFish")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem