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Bud Decision Studio
'The LM Studio of Jev-like models': a cross-platform desktop app and local server that downloads open decision models (Kev, Laya, GLiNER2.5 Decide, Jev-Omni and others), with playground, evaluation, history, LoRA training and a Jev-compatible API.
Release v0.3.0 on 2026-10-01; repo pushed 2026-10-09. (checked 2026-10-25)
In The Jev ecosystem
Where it stands apart
- How is the main thing licensed? copyleft or source-available with restrictions (0% of 21 others)
- Who is it for? both (0% of 21 others)
- What is the main thing it ships? a runtime, server, proxy, or desktop app for running models (24% of 21 others)
- Which question types does it handle? Jev's three plus extra types (number, excerpt, relation, box, rank...) (14% of 21 others)
- Does it check whether its probabilities can be trusted? Pick the first that applies. it calibrates or sets thresholds against your own labelled examples (19% of 21 others)
- Does it train on Jev's outputs? (TypeSafe's customer agreement forbids using output to distill or build competing models.) it trains models, but not on Jev's outputs (21% of 19 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)
- 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)
- 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)
- 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
- Laya 63% of 16 shared answers match
- OpenDecision 63% of 16 shared answers match
- snap 63% of 16 shared answers match
Every answer
| Question | Answer | Source |
|---|---|---|
| Is it actively maintained? | active | source 2026-10-25 |
| How is the main thing licensed? | stands apart copyleft or source-available with restrictions Source is public but the repo has no LICENSE file (GitHub reports none), so it is all rights reserved by default. Each model keeps its own license. | source 2026-10-25 |
| How is it mainly sustained? | company with a paid product, tier, or ads Bud Ecosystem sells commercial inference products; the studio itself is free. | source 2026-10-25 |
| 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 Local desktop app and server; models download anonymously from Hugging Face. | source 2026-10-26 |
| Who is it for? | stands apart both GUI app for teams plus a developer API. | source 2026-10-25 |
| Which shared standard or format does it mainly build on? | TypeSafe's System One API (state + typed questions, /v1/systemone) Conformance tests against TypeSafe's OpenAPI schema; also OpenRouter's. | 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? | stands apart Jev's three plus extra types (number, excerpt, relation, box, rank...) Extensions: multi, rank, number, and media for images, audio and video. | source 2026-10-25 |
| Does it check whether its probabilities can be trusted? Pick the first that applies. | stands apart it calibrates or sets thresholds against your own labelled examples The Evaluate page shows calibration and threshold charts on your labelled examples. | 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.) | stands apart it trains models, but not on Jev's outputs LoRA training on your own spreadsheet of past decisions. | 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 | source 2026-10-25 |
Sources
This page was derived from:
- GitHub · github.com/BudEcosystem/Bud-Decision-Studio · read 2026-10-25
- Web page · www.budecosystem.com/open-source-projects/bud-decision-studio · read 2026-10-25
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