Crate

minijinja-contrib

Browse Rust repositories that depend on minijinja-contrib.

30
Repositories
97%
Actively maintained
29
Updated ≤ 30 days
68k
Total stars
29
Owners

Counted from the Cargo.toml manifests of the 30 indexed repositories that declare minijinja-contrib as a dependency — not download counts. Dependency data last verified 2026-08-13.

Browse 30 repositories using minijinja-contrib in Repos →
Often used with

Crates that show up unusually often in minijinja-contrib projects. The most distinctive pairings rank first — crates these projects use far more than the average indexed Rust project does, not just crates that are popular everywhere. Each percentage is the share of minijinja-contrib projects that also use it.

30 repositories · 29 pushed in the last 30 days
dbt-core14kactive

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

baml9.0kactive

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

paddler1.6kactive

Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.

smg461active

Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.

smg443active

Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.

fox179active

High-performance LLM inference engine — drop-in replacement for Ollama with faster multi-turn inference, lower TTFT, and higher throughput through prefix caching and continuous batching.

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