observerss/textfilter
敏感词过滤的几种实现+某1w词敏感词库 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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: 5355
- days_rel: n/a
- days_push: 1839
- n_releases_24m: 0
Adoption not part of the score
2108 stars · 819 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A small Python library implementing several sensitive-word filtering algorithms (including DFA) bundled with a ~10k-word sensitive word list. It replaces matched words in text with asterisks.
Use cases
- filter profanity from user comments
- censor sensitive words in chat messages
- mask banned words in user-generated content
- build a content moderation pipeline in Python
- check text against a sensitive word dictionary
When to choose
- you need a lightweight, dependency-free word filter in Python
- you want a ready-made Chinese sensitive word list
- you prefer simple DFA-based matching you can read and modify
When to avoid
- you need regularly updated word lists or active maintenance
- you need fuzzy matching, pinyin, or evasion-resistant filtering
- you need a hosted moderation API with ML-based detection
Facets
library · maturity maintenance
nlp parser text-editors developer-tools python cross-platform sensitive-word-filter dfa profanity-filter chinese-text wordlist natural-language-processing
1 source
- readme: https://github.com/observerss/textfilter · fetched 2026-08-28 · b36d09a0746f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| observerss/textfilter | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="observerss/textfilter")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem