scipoptsuite/scip-jupyterlab
scipoptsuite
Official SCIP docker image build from https://github.com/scipopt (see overview for details)
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SCIP Optimization Suite - Docker Images
This repository provides Docker images for the SCIP Optimization Suite, enabling easy access to the solver via a web API or a Jupyter Lab environment.
Versions
| Component | Version |
|---|---|
| SCIP | 10.0.0 |
| PySCIPOpt | 6.0.0 |
| Python | 3.11 |
| OS | Debian Slim |
1. Web Service Image (scip-webservice)
A FastAPI-based web service that provides endpoints to upload MPS/LP files and solve them using SCIP. It includes a basic dashboard and upload interface.
🚀 Quick Start
bashdocker run -p 8000:8000 -e API_SECRET_KEY=<random_string_of_atleast_32_characters> scipoptsuite/scip-webservice
Access the interfaces:
- Dashboard: http://localhost:8000/status
- Upload UI: http://localhost:8000/upload
- API Documentation: http://localhost:8000/docs
⚙️ Configuration & Parameters
You can configure the service using environment variables (-e) and Docker resource flags.
Concurrency & Limits
| Variable / Flag | Default | Description |
|---|---|---|
MAX_CONCURRENT_JOBS | 2 | (Env Var) Maximum number of parallel solver processes. Set this based on your available CPU cores. |
JOB_RETENTION_HOURS | 24 | (Env Var) How long to keep job results and logs before deleting them. |
MAX_UPLOAD_SIZE_MB | 1024 | (Env Var) Max allowed file size in MB. |
--cpus | N/A | (Docker Flag) Limit the container's CPU usage. Recommended: MAX_CONCURRENT_JOBS * 1.0. |
--memory | N/A | (Docker Flag) Limit the container's memory. Recommended: 2GB per concurrent job. |
Database
| Variable | Default | Description |
|---|---|---|
DATABASE_URL | sqlite+aiosqlite:///./sql_app.db | (Env Var) Connection string for the database. Supports SQLite (default) and PostgreSQL. |
PostgreSQL Example (e.g., for Kubernetes):
bash-e DATABASE_URL="postgresql+asyncpg://user:password@postgres-host:5432/scip_db"
Volumes
| Volume Path | Description |
|---|---|
/app/logs | Mount this to access server logs and solver output on the host. |
/app/problems | Mount this to access uploaded and solved problem files. |
📝 Example: Production-Ready Run
Run with 4 concurrent workers, 4 CPU limit, and 8GB memory:
bashdocker run -d \ -p 8000:8000 \ -e MAX_CONCURRENT_JOBS=4 \ -e API_SECRET_KEY=your_secure_random_key \ --cpus=4.0 \ --memory=8g \ -v $(pwd)/logs:/app/logs \ -v $(pwd)/problems:/app/problems \ scipoptsuite/scip-webservice
2. Jupyter Lab Image (scip-jupyterlab)
A pre-configured data science environment with SCIP, PySCIPOpt, and standard Python data stacks (Pandas, NumPy, Scikit-Learn, Matplotlib). Ideal for prototyping and interactive solving.
🚀 Quick Start
bashdocker run -p 8888:8888 -v $(pwd):/app scipoptsuite/scip-jupyterlab
Access Jupyter Lab at http://localhost:8888.
⚙️ Configuration & Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
8888 | Port | 8888 | The internal port for Jupyter Lab. |
JUPYTER_TOKEN | Env Var | (Random) | Set a custom password/token for access. If not set, a random token is printed to the console on startup. |
/app | Volume | N/A | Highly Recommended: Mount your local working directory here to save your notebooks and work. |
🔐 Authentication
Option A: Random Token (Default)
Run the container. Watch the terminal output for a line like:
Jupyter Lab Token: 8f3a1e9c...
Use this token to log in.
Option B: Custom Token
Pass the JUPYTER_TOKEN environment variable:
bashdocker run -p 8888:8888 \ -e JUPYTER_TOKEN=mysecretpassword \ -v $(pwd):/app \ scipoptsuite/scip-jupyterlab
📦 Included Libraries
pyscipopt(SCIP Interface)jupyterlabnumpypandasmatplotlibscikit-learnipykernel
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 scip-jupyterlab 镜像标签
docker pull docker.xuanyuan.run/scipoptsuite/scip-jupyterlab:<标签>
DockerHub 原生拉取命令
docker pull scipoptsuite/scip-jupyterlab:<标签>
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oldzhang
运维工程师
Linux服务器
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"Docker访问体验非常流畅，大镜像也能快速完成下载。"