Datalore vs MATLAB Grader

Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.

MATLAB Grader lets instructors create interactive MATLAB coding assignments and automatically grade submissions for formative assessment, quizzes and exams. Its authoring environment runs in a browser and requires no installation or maintenance. Problem descriptions can include rich text, images, hyperlinks and LaTeX. Instructors can choose pass/fail or weighted grading, give contextual feedback, review attempt histories and examine analytics about concepts students find difficult. Learners can work in MATLAB Online, with submissions and results syncing back to MATLAB Grader without an extra login step. The service supports LMS platforms including Open edX, Blackboard Learn, D2L Brightspace, Canvas, Moodle and Sakai, plus other systems that support LTI Advantage. MathWorks states that it is certified for LTI 1.3 and related LTI Advantage services. The product is free with a MATLAB license that is current under maintenance. LMS integration requires a qualifying academic license, and participating learners must be enrolled students covered by it. It is available on Linux, macOS, Windows and the web.