Coderunner

Best Self Hosted Alternatives to Coderunner

A curated collection of the 2 best self hosted alternatives to Coderunner.

Cloud code execution and assessment platform that runs code in multiple languages, lets instructors create programming tasks, auto-grade submissions with test cases, and provide sandboxed execution for teaching and technical evaluation.

Alternatives List

#1
RELATE

RELATE

Open-source Django LMS for creating courses with YAML/Markdown content, git-backed versioning, sandboxed code questions, automatic grading, calendars and analytics.

RELATE screenshot

RELATE is a web-based courseware system built on the Django web framework for authoring, delivering, and grading interactive course content. It emphasizes simple, text-based authoring and supports interactive flows that combine static pages, quizzes, and code-execution questions.

Key Features

  • Text-first content authored in YAML and Markdown for reusable course materials
  • Deep git integration so instructors can version content and preview unpublished changes while students use prior versions
  • Code question support with in-browser code entry, sandboxed execution, automatic grading, optional human second-stage grading, and plotting support
  • Flow-based activities that sequence pages (text, video, quiz, code, uploads) and flexible rules for participation and grading
  • Course calendar, grade book, and basic analytics/statistics of student answers
  • REST API for integration and automation; optional XMPP support for in-class messaging
  • Supports hosting multiple courses on a single installation and Docker-based deployment options

Use Cases

  • University instructors delivering programming assignments with automatic grading and versioned course materials
  • Running live in-class quizzes and monitored coding exercises with sandboxed execution
  • Coordinating multi-course installations with shared content repositories and gradebook/calendar management

Limitations and Considerations

  • Production deployment and long-term maintenance require server administration; optional integrations (XMPP, SAML, external auth) add setup complexity
  • Advanced features (sandboxing, plotting, automatic grading) require careful configuration of execution environments and dependencies

RELATE is well suited for institutions and instructors who need a flexible, text-driven LMS focused on programmatic assignments and reproducible course content. It favors administrators comfortable with Django-based deployments and git workflows.

422stars
127forks
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#2
INGInious

INGInious

Open-source platform for creating, running and automatically grading programming exercises in Docker sandboxes; integrates with LMS (Moodle, edX).

INGInious screenshot

INGInious is an automated exercises assessment platform designed to run and grade students' programming submissions inside isolated Docker environments. It provides a web frontend for students and teachers, an administration interface for course and task management, and integration points for external LMS platforms.

Key Features

  • Automated grading of programming exercises using custom tests and pluggable grading environments
  • Executes student code inside Docker-based sandboxes to isolate and control runtime behavior
  • Web frontend for submissions and an admin UI for course/task management and student monitoring
  • Integrations with external learning systems (LMS) such as Moodle and edX via standard connectors
  • Deployable via Docker Compose with provided example grading environments and a tasks folder for courses
  • Supports multiple programming languages through configurable grading containers and task definitions
  • Includes demo tasks and tooling for creating and importing exercise sets

Use Cases

  • University and classroom programming courses requiring scalable, consistent automated grading
  • MOOCs and online learning platforms that need external graders integrated with LMS
  • Technical training and coding interview platforms that require reproducible, sandboxed code evaluation

Limitations and Considerations

  • Execution relies on Docker containers: secure configuration (SELinux, namespaces) is required for safely running untrusted code
  • Out-of-the-box deployment is oriented around Docker Compose; large-scale horizontal scaling requires additional infrastructure and orchestration
  • Administrators must manage and maintain grading environment images and task repositories to cover target languages and toolchains

INGInious is suitable for institutions and instructors who need a configurable, containerized autograding solution that integrates with existing LMS workflows. It emphasizes secure execution, extensible grading environments, and a teacher-focused administration interface.

231stars
147forks
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Why choose an open source alternative?

  • •Data ownership: Keep your data on your own servers
  • •No vendor lock-in: Freedom to switch or modify at any time
  • •Cost savings: Reduce or eliminate subscription fees
  • •Transparency: Audit the code and know exactly what's running