# bumptech/stud

The Scalable TLS Unwrapping Daemon

Repository: https://github.com/bumptech/stud
Canonical: https://ross.abutalabs.com/products/stud
Language: C
License: NOASSERTION
License Family: other
Archived: true
Last push: 2023-06-29T13:15:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5563, "days_push": 1161, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1421, forks 194 (observed 2026-08-28T04:04:40.684705+00:00)

## What it is
Stud is a scalable TLS/SSL termination proxy that unwraps encrypted connections and forwards plaintext traffic to a backend like HAProxy or nginx. It uses a process-per-core model with libev and OpenSSL to handle tens of thousands of concurrent connections efficiently.

## Use cases
- terminate TLS connections in front of haproxy or nginx
- offload SSL handshakes from backend servers
- pass client IP to backends via PROXY protocol
- handle tens of thousands of TLS connections on multicore machines
- share SSL session caches across processes or machines

## When to choose
- you need a lightweight, high-performance TLS terminator paired with an intelligent backend
- you need PROXY protocol support to preserve client IPs
- you are maintaining a legacy deployment already using stud

## When to avoid
- starting a new project - stud is officially abandonware
- you want an actively maintained TLS proxy - use Hitch instead
- you need rich features beyond TLS unwrapping - use nginx or HAProxy directly

## Facets
- artifact type: service
- maturity: abandoned
- function: proxy, security, networking
- domain: networking, security, backend
- platform: bsd, cli
- tags: tls-termination, ssl-offloading, proxy-protocol, abandonware, linux

## Member repositories
- bumptech/stud (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.684705+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 2026-08-30T04:37:44.525727+00:00, confidence not recorded.
  - readme: https://github.com/bumptech/stud (fetched 2026-08-28T04:04:40.684705+00:00, sha 840deb984f3c)
- Data as of 2026-08-30T08:39:29.467469+00:00.