Cfviewer
CFViewer is a project designed to help competetive programmers who use codeforces platform for participating in contests and problem solving. Features like Contest Suggestor and Problem suggestor are made to help coders choose problems and contests which can help in their learning.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Codeforces Go | 3,360 | 4 months ago | 3 | December 28, 2021 | 6 | mit | Go | |||
| 算法竞赛模板库 by 灵茶山艾府 💭💡🎈 | ||||||||||
| Cfviz | 1,036 | 4 months ago | 15 | JavaScript | ||||||
| Visualizes user data from codeforces.com using the official API | ||||||||||
| Cc | 711 | 8 months ago | 2 | mit | C++ | |||||
| Everything competitive programming related - introductory guide, topics/concepts, practice problems, snippets & templates, tips & tricks and more. | ||||||||||
| Nbhext | 227 | 8 months ago | 7 | gpl-2.0 | JavaScript | |||||
| NBHEXT -- No B-Hurt EXTension for CodeForces | ||||||||||
| Elo Mmr | 139 | 6 months ago | 3 | February 12, 2021 | 2 | mit | C++ | |||
| Skill estimation systems for multiplayer competitions | ||||||||||
| Laddy | 77 | 3 years ago | 7 | TypeScript | ||||||
| 🚀 Analogous to A2OJ Codeforces practice ladders | ||||||||||
| Cp Badges | 70 | 2 years ago | 3 | gpl-3.0 | Python | |||||
| Support for Competitive Coding badges to add in Github readme or portfolio websites. | ||||||||||
| Carrot | 68 | a year ago | 5 | mit | JavaScript | |||||
| A browser extension for Codeforces rating prediction | ||||||||||
| Codeforces Upsolving Helper | 60 | a year ago | Python | |||||||
| A web app developed using Flask that compiles all the Problems on Codeforces that you have attempted (submitted at least once) but could not get Accepted verdict. Recommended Problems are also shown. | ||||||||||
| Codeforces Api | 56 | 6 years ago | 3 | Jupyter Notebook | ||||||
| Tools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms. | ||||||||||
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