Monash University Codeforces Tool
Monash University ACM Teams' Training Tool.
What is Monash University Codeforces Tool?
Monash University Codeforces Tool is a Chrome extension that enhances the training experience for Monash University ACM teams. It removes virtual participants, hides solved problems, displays unsolved problem count, and provides various features for problem tables and submissions.
Stats
Creation date:
2016-02-20
Risk impact:
Moderate risk impact
Risk likelihood:
Low risk likelihood
Manifest version:
2
Permissions:
Size:
51.73K
Stats date:
Chrome-Stats Rank
#
99124
Other platforms
Not available on Firefox
Not available on Edge
Want to check extension ranking and stats more quickly for other Chrome extensions?
Install
Chrome-Stats extension
to view Chrome-Stats data as you browse the Chrome Web Store.
Summary
under GYM tag:
- Remove other virtual participants except Monash University Teams.
under GROUPS tag:
- Remove other virtual participants except Monash University Teams.
under PROBLEMSET tag:
- Hide solved problems.
- Display a counter of unsolved problems on the current page.
- Works with the table of problems unsorted or sorted by "the number of participants solved the problem" either in descending or ascending order.
- Works with the table of problems filtered by tags (categories).
Safety
Risk impact
Monash University Codeforces Tool may not be safe to use and it requires some risky permissions. Exercise caution when installing this extension. Review carefully before installing.
Risk likelihood
Monash University Codeforces Tool has earned a fairly good reputation and likely can be trusted.
Upgrade to see risk analysis details
Similar extensions
Here are some Chrome extensions that are similar to Monash University Codeforces Tool:
CodeForces Calendar™
Codeforces Mongolia
Codeforces Practice Tracker
Code Alarm
Contest Standings
Codeforces Enhancer
CF stalker
CF Analytics
Hindstamps for Blogs
CF-Predictor
Carrot
Open University Libezproxy URL inject
mail.souravchk
4.56
1,000+
https://codeforces.mn
5.00
501
Mohamed Mahmoud
4.86
20,000+
codealarm2017
4.50
6
BigBag
5.00
62
alexander.agulenko
4.40
10,000+
dhruv batra
4.67
1,000+
Apoorva Raj Bhadani
5.00
40,000+
hindstamps
5.00
20
Wsl_F
4.53
50,000+
meooow
4.47
30,000+
OK Tex
5.00
54