Community college & university
Adaptive practice and auto-grading that bring every CS student to mastery
From CS1 to data science, teach your curriculum to sections of 30 or 140, with nothing to install. Students get feedback the moment they submit and a hint whenever they’re stuck.
Mix several textbooks and your own labs in one course
More than 40 titles are ready to teach, from CS1 through compilers. Take units from Python for Everybody and Zelle’s Python Programming, add your own capstone lab as an auto-graded Custom Activity, and teach them in your order. Students see one textbook. Set it up once for every section, or give a section its own sequence.Find your textbook in the full catalog
Practice at each student’s level
Some students have coded for years; some have never opened an editor. Alps tracks what each one has mastered, and Automated Assignments build practice for every group in under a minute from 10,000+ leveled problems. You review each set before students see it.
Help, not answers, the moment a student is stuck
Alps gives a hint first and more help only as needed, so a stuck student doesn’t wait for office hours. Adaptive Coding and Adaptive Parsons keep students working through hard problems.
Instant feedback for every student, and a clear view of who needs help
Unit tests and rubrics grade work as soon as it’s submitted, so you and your TAs grade less. Semantic checks on Python and Java show how the code was written, and a replay of a student’s code shows where it went wrong. Live Activity shows who has stopped during lab. You have the final say on every grade.
One platform for the whole sequence
CS1 through compilers, databases, and data science, on one login and one gradebook. It all runs in the browser.
Python and Java, CS1 through data structures
A full-screen IDE with multiple files, a terminal, and working input().
C++ compiled with clang
Live input from std::cin, compiler errors on the exact line, the full standard library, multi-file projects.
Jupyter for data science and machine learning
NumPy, pandas, Matplotlib, and scikit-learn. Each student gets their own kernel in about two seconds. No JupyterHub to run.
SQLite and PostgreSQL for the database course
Two real engines, with no server and no connection string. Data stays live between exercises, so a chapter can build one continuous story.
A practice machine for intro cybersecurity
Every exercise opens its own machine in a browser tab: accounts, permissions, firewall rules, packet captures. No lab images, no per-student lab licenses.
Canvas and any LTI 1.3 LMS
Launch, roster sync, and grade passback from the Gradebook into the LMS you already run.
Build the budget before you talk to anyone
Alps is $32 per student, per term, and the rate drops with volume. Publisher titles are licensed per student. Your department can pay for the whole class, students can buy their own access, or both. Open a free account and your exact quote comes back in seconds.
$0
Alps, free forever
With any open textbook
$32
Alps, per student / term
From $900 a term
$48–$88
Similar course platforms
per student, per term
Figures from public pricing pages, checked September 2026. A student in two of your courses counts once.
Start with one section
Alps is free with any open textbook and your own labs. One instructor can have a section running before the next faculty meeting.