Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for developers who run open models and need reliable classification, extraction and routing decisions without parsing and retrying malformed JSON, including teams that cannot send data to a hosted decision model.
Where this stands now
TypeLLM — schema-guaranteed typed answers (enum, boolean, number, text) from open LLMs you serve with SGLang ranks #230 of 1581 tracked Developer Tools items by composite score (7.0 against a section median of 4.9). The section currently carries 1324 Bronze, 153 Silver, 103 Gold, 1 Low Signal. RepoRadar has retained observations for this record since 2026-09-29 (11 days in the current window). Signal extremes versus the section: momentum at the 94th percentile; novelty at the 90th percentile.
Who should use it
Who should skip it
Skip TypeLLM — schema-guaranteed typed answers (enum, boolean, number, text) from open LLMs you serve with SGLang if the source link, documentation, or setup requirements do not align with your current workflow or stack.
About this signal
TypeLLM — schema-guaranteed typed answers (enum, boolean, number, text) from open LLMs you serve with SGLang is tracked by RepoRadar as a framework in the Developer Tools section. First seen 2026-09-29; the source record was last checked on 2026-09-29. The current verdict is 'watch' with a Silver tier and moderate setup difficulty. The standout signals for TypeLLM — schema-guaranteed typed answers (enum, boolean, number, text) from open LLMs you serve with SGLang are open-source/build quality (8.4) and workflow potential (7.8), while setup ease (6.4) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The TypeLLM — schema-guaranteed typed answers (enum, boolean, number, text) from open LLMs you serve with SGLang record combines a 7.0/10 composite score with separate popularity (100.0), risk (conditional), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The optional hosted TypeLLM API sends your context and images to a third-party service; use the self-hosted SGLang path for sensitive data; Self-hosting needs a GPU server running SGLang with a compatible model; Young project (created 2026-09-17) with breaking API changes between 0.2.5 and 0.2.6; pin the version; Not hands-on tested.