mailgun/talon
None observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
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: n/a
- age_days: 4423
- days_rel: n/a
- days_push: 1050
- n_releases_24m: 0
Adoption not part of the score
1342 stars · 305 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Talon is a Python library from Mailgun that extracts reply quotations and signatures from email messages, both plain text and HTML. It combines rule-based brute-force parsing with SVM-based machine learning classifiers trained on personal and ENRON email datasets.
Use cases
- extract the reply text from an email thread
- strip quoted original messages from replies
- detect and remove email signatures
- parse email bodies for a helpdesk or CRM app
- clean up forwarded message chains in plain text and HTML
When to choose
- you need to separate replies, quotes, and signatures in email processing pipelines
- you want both simple heuristic and ML-based extraction options
- you're building email automation in Python
When to avoid
- you need actively maintained software with recent fixes
- you need full MIME/email parsing rather than body cleanup
- your stack isn't Python
Facets
library · maturity maintenance
nlp parser machine-learning email developer-tools python cross-platform email-parsing quotation-extraction signature-detection reply-extraction svm-classifier natural-language-processing
2 sources
- readme: https://github.com/mailgun/talon · fetched 2026-08-28 · ca4db0d018c7
- registry_pypi: https://pypi.org/pypi/talon/json · fetched 2026-08-29 · 1693f86d752e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mailgun/talon | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem