# mythrantic/ollama-docker

Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment

Repository: https://github.com/mythrantic/ollama-docker
Canonical: https://ross.abutalabs.com/products/ollama-docker
Homepage: https://ollama-docker.valiantlynx.com/
Language: HTML
License: NOASSERTION
License Family: other
Topics: docker, docker-compose, ollama
Last push: 2026-05-26T05:58:07+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 67
- inputs: {"age_days": 941, "days_push": 99, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1418, forks 253 (observed 2026-08-28T04:04:40.181184+00:00)

## What it is
A Docker Compose configuration that deploys Ollama together with its dependencies, including an Open WebUI chat frontend, in one command. It optionally enables NVIDIA GPU acceleration and ships an extra 'app' container with Langchain examples and a devcontainer setup.

## Use cases
- run ollama with docker compose
- self-host a local chatgpt alternative
- deploy ollama with a web ui
- run local llms with gpu support in docker
- quickly set up ollama and open webui
- experiment with langchain and local models

## When to choose
- You want Ollama plus a ChatGPT-style web UI running with a single docker compose command
- You have an NVIDIA GPU and want GPU-accelerated inference inside containers
- You want a preconfigured playground with Langchain examples for calling local models
- You prefer isolated, containerized LLM setups over native installations

## When to avoid
- You need a native Ollama install without Docker overhead
- You require production-grade multi-node orchestration rather than single-host Compose
- You use non-NVIDIA GPUs and need tailored acceleration setup
- You need a supported software library or application rather than deployment configuration files

## Facets
- artifact type: infra-config
- maturity: active
- function: llm-inference, deployment, self-hosted, chat-interface, gpu-computing
- domain: large-language-models, artificial-intelligence, self-hosted
- platform: self-hosted
- tags: docker-compose, ollama, open-webui, local-llm, langchain-examples, devcontainer, nvidia-gpu, one-command-setup, devops, containers, docker, linux, gpu

## Member repositories
- mythrantic/ollama-docker (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.181184+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 2026-08-30T04:37:58.682836+00:00, confidence not recorded.
  - readme: https://github.com/mythrantic/ollama-docker (fetched 2026-08-28T04:04:40.181184+00:00, sha bb256149e9d5)
- Data as of 2026-08-30T08:39:29.467469+00:00.