Software Alternatives & Startups

GitHub for Atom VS AutoLabSuite

Compare GitHub for Atom VS AutoLabSuite and see what are their differences

GitHub for Atom

Git and GitHub integration right inside Atom

Rating
0 reviews
AutoLabSuite

Automated grading of programming labs for university courses

Rating
0 reviews
Pricing
Paid
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Developer Tools popularity
100% vs 0%
alternatives listed
21 vs 3

Base details

Website, pricing, platforms and company facts side by side.

GHA
GitHub for Atom
AutoLabSuite
Website github.atom.io autolabsuite.com
Pricing —
Paid
Platforms —
Web
Company — Startup from Belarus · 1 - 9 employees
Listed in

About GitHub for Atom and AutoLabSuite

In their own words, as submitted to SaaSHub.

GHA
GitHub for Atom
AutoLabSuite

No description of GitHub for Atom yet.

Students submit lab work as GitHub or GitLab pull requests. AutoLabSuite runs the automated checks, applies the course rubric, and hands the teacher a prepared grade with the evidence behind it. The final decision stays with the teacher. Grading criteria are stored as a file in the course...

Read more about AutoLabSuite

Features and specs

What each product offers, as listed by its team.

GHA
GitHub for Atom 5 features
AutoLabSuite 4 features
  • Seamless GitHub Integration
    Atom by GitHub provides seamless integration with GitHub, allowing users to easily manage repositories, perform version control operations, and collaborate on projects directly from the editor.
  • Customization
    Atom is highly customizable, allowing developers to tailor the editor to their preferences with themes, color schemes, and packages that enhance functionality and user experience.
  • Open-Source
    As an open-source editor, Atom encourages community contributions, offering a vast library of plugins and packages developed by other users to extend its capabilities.
  • Cross-Platform
    Atom is available on multiple operating systems, including Windows, macOS, and Linux, ensuring a consistent development experience across different environments.
  • Teletype for Collaboration
    The Teletype package allows for real-time collaboration within Atom, enabling users to share their workspace with others and work together seamlessly.

Possible disadvantages

  • Performance
    Atom can be resource-intensive, particularly with large projects or numerous extensions installed, which may impact performance and speed negatively.
  • End of Active Development
    GitHub announced the sunsetting of Atom effective December 2022, which means there will be no new features or active development moving forward, potentially affecting long-term usability.
  • Complexity for Beginners
    The level of customization and plethora of features can be overwhelming to new users or those unfamiliar with configuring development environments.
  • Competition
    With other powerful editors like Visual Studio Code gaining popularity due to better performance and active development, Atom faces strong competition in the market.
  • Submission via pull request
    Students open a pull request in the course repository. Works with GitHub and with a university's own GitLab.
  • Rubric-as-code
    The grading criteria are a file in the course repository. They are fixed when the assignment is issued. Editing them later does not change grades that were already confirmed.
  • AI-assisted review
    The model proposes points and a comment for each criterion. Nothing reaches the student until the teacher confirms it.
  • Structured reports
    The report form follows the rubric: one section per criterion, attachments included.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GHA
GitHub for Atom
AutoLabSuite
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing GitHub for Atom and AutoLabSuite.

What makes your product unique?

AutoLabSuite's answer:

  • The rubric is versioned with the course, so an old grade stays explainable after the criteria change.
  • Editing a rubric never silently recalculates work that was already graded.
  • It runs on the university's own servers and against its own GitLab.
  • Reports are laid out by criterion, so a reviewer is not hunting through a PDF.
  • The interface is in English, Russian, Polish and Belarusian.

Why should a person choose your product over its competitors?

AutoLabSuite's answer:

The work stays where the department already keeps it. Students submit through a merge request in the university's own GitLab, or on GitHub. We do not bring our own code hosting.

The criteria are readable before the work starts. They live as a file in the course repository, so a student sees the same rubric the grader applies, and any change to it shows up in the history.

A confirmed grade does not move on its own. Edit the rubric mid-semester if you need to; work that was already graded is not recalculated. Changing a grade is a deliberate act by the teacher, it requires a reason, and it is logged.

Who are some of the biggest customers of your product?

AutoLabSuite's answer:

  • Brest State Technical University, Brest, Belarus

How would you describe the primary audience of your product?

AutoLabSuite's answer:

Departments that teach programming and collect code from students. Most of the load falls on the lecturer grading lab work every week, so that is who the interface is built around. A department already keeping coursework on GitHub or its own GitLab does not have to move anything.

What's the story behind your product?

AutoLabSuite's answer:

I teach at Brest State Technical University: web technologies, distributed systems and cloud technologies, language processes of intelligent systems.

My problem was never that grading is dull. It was that a better lab costs more to grade. Every time I made a task harder or more interesting, the time to check one submission went up with it. Twenty minutes was the good case. An hour was normal. With around 500 lab submissions and 50 coursework projects in a semester, that arithmetic quietly decides what you are allowed to assign, and I was giving out easier labs than I wanted to.

In the autumn of 2025 the courses moved to GitHub. Not to build a product. Students have to learn pull requests anyway, the mechanism already exists, and it is better than anything I would invent in its place. A submission became a pull request, and the history of a work finally sat in one place.

The automation came after that. A lab now takes one to three minutes to check. That did not buy me free evenings. It let me raise the difficulty of the labs without paying for it in grading time, which was the point from the very beginning.

Which are the primary technologies used for building your product?

AutoLabSuite's answer:

Python, FastAPI, PostgreSQL, Alembic, Next.js, TypeScript, React, Playwright, Docker. Sign-in through OIDC, tested against Keycloak.

User comments

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