Ashishgup's blog

By Ashishgup, history, 12 days ago, In English,

There are many useful websites that extract data from Codeforces and give some statistics, problem recommendations, graphs, etc.

I thought that collecting them all in one place would be a good idea. Please comment the websites you find useful :D

List as of now:

  • CF-Predictor (Original Blog): Probably the most famous and used in this list, predicts the expected rating change during and after contests.

  • Code-Drills (Original Blog): Recommends problems for single and multiple users, and gives statistics on total number of problems solved.

  • Codeforces Visualizer (Original Blog): Gives various statistics for a user such as number of Div2Cs solved, and supports comparison between two users.

  • CF Statistics (Original Blog): Comparison between 2 users gives the unique problem-set and the shared problem-set solved by the users.

  • Codeforced: Gives a contest-wise result of which questions have been solved and which haven't been solved (but attempted). Essentially, a complete list of "unsolved problems" as opposed to Codeforces' last 15 unsolved.

  • Virtual Contest Picker (Original Blog): Given a set of usernames, finds contests where none of the users have made any submissions.

Some missing sites:

  • Most popular users
  • Most upvoted blogs/comments
 
 
 
 
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12 days ago, # |
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are there any related to codechef or hackerearth or spoj

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    12 days ago, # ^ |
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    StopStalk here you can see statistics for various sites and you can find problems solved by other users and tag wise questions.

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12 days ago, # |
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Thanks for this.

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12 days ago, # |
  Vote: I like it +23 Vote: I do not like it

There is also Virtual Contest Picker

It's a collaboration between Laggy & me. You give it a set of handles and it lists all contests none of the given handles made a submission in it. We can also search that list for specific contests like CROC & AIM TECH

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12 days ago, # |
  Vote: I like it +25 Vote: I do not like it

I'm going to restore most upvoted blogs/comments in couple of days, maybe weeks with more features(e.g. most popular comments of last month)

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11 days ago, # |
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