Preview. These maps are our reading of public sources and haven't been checked with the projects' maintainers yet.
snap
Rust decision engine that reads answer-letter logits from existing GGUF models in one batched pass; local, deterministic and Jev wire-compatible, with benchmarks against Ollama and OpenAI.
github.com/emnlmn/snapActive
Release v0.6.2 and last push 2026-10-08. (checked 2026-10-25)
In The Jev ecosystem
Where it stands apart
- What is the main thing it ships? a runtime, server, proxy, or desktop app for running models (24% of 21 others)
- Does it publish head-to-head numbers against Jev? benchmarks, but not against Jev (19% of 21 others)
What it shares with most of the community
- Is it actively maintained? active (62% of 21 others)
- How is the main thing licensed? permissive open source (MIT/Apache/BSD) (86% of 21 others)
- How is it mainly sustained? individual side project, no revenue (55% of 20 others)
- Can it run entirely on your own device or infrastructure, without the maker's servers? yes (52% of 21 others)
- Do you need an account to use it? no account (86% of 21 others)
- Who is it for? developers (95% of 21 others)
- Which shared standard or format does it mainly build on? TypeSafe's System One API (state + typed questions, /v1/systemone) (81% of 21 others)
- Which models answer its questions? Pick the first that applies. other models, not Jev (open, local, or LLMs) (52% of 21 others)
- Which question types does it handle? Jev's three: noul, choice, score (67% of 21 others)
- Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) it doesn't train models (68% of 19 others)
- Can you use it without a TypeSafe account? yes, no TypeSafe account involved (62% of 21 others)
- Are its answers typed values rather than generated text? (identity question) yes, typed answers only (67% of 21 others)
Nearest neighbors
- jeva.cpp 81% of 16 shared answers match
- Kev 81% of 16 shared answers match
- OpenDecision 81% of 16 shared answers match
Every answer
| Question | Answer | Source |
|---|---|---|
| Is it actively maintained? | active Borderline: 17 days since the last push. | source 2026-10-25 |
| How is the main thing licensed? | permissive open source (MIT/Apache/BSD) MIT | source 2026-10-25 |
| How is it mainly sustained? | individual side project, no revenue Personal repo, MIT, no funding. | source 2026-10-26 |
| Can it run entirely on your own device or infrastructure, without the maker's servers? | yes | source 2026-10-25 |
| Do you need an account to use it? | no account README: no API key, no telemetry, local Rust binary. | source 2026-10-26 |
| Who is it for? | developers | source 2026-10-25 |
| Which shared standard or format does it mainly build on? | TypeSafe's System One API (state + typed questions, /v1/systemone) 'Speaks the TypeSafe/Jev wire format.' | source 2026-10-26 |
| Which models answer its questions? Pick the first that applies. | other models, not Jev (open, local, or LLMs) | source 2026-10-25 |
| What is the main thing it ships? | stands apart a runtime, server, proxy, or desktop app for running models | source 2026-10-25 |
| Which question types does it handle? | Jev's three: noul, choice, score | source 2026-10-25 |
| Does it check whether its probabilities can be trusted? Pick the first that applies. | yes, it publishes calibration metrics (ECE, Brier, or similar) Brier and ECE tables; models load only with a calibration file. | source 2026-10-25 |
| Where do the decisions run by default? | on your own hardware (CPU, Mac, or GPU) | source 2026-10-25 |
| Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) | it doesn't train models Uses existing models; fits calibration only. | source 2026-10-25 |
| Can you use it without a TypeSafe account? | yes, no TypeSafe account involved | source 2026-10-25 |
| Are its answers typed values rather than generated text? (identity question) | yes, typed answers only | source 2026-10-25 |
| Does it publish head-to-head numbers against Jev? | stands apart benchmarks, but not against Jev Compares to Ollama and OpenAI on the same prompts. | source 2026-10-25 |
Sources
This page was derived from:
- GitHub · github.com/emnlmn/snap · read 2026-10-25
RSS for this project · Its own release feed
Are you a maintainer? Claiming and correcting projects is coming soon.