OpenGenus Foundation
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Portfolio concentration
76%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
1 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (9), JavaScript (7), Unknown (5)
Average size
1
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-07-29(27d ago)GitHub API fallback30 repositories
76%
of the visible star count comes from this organization's top three repositories.
1
stars per repository in this same snapshot.
Python
is the most common language here, with 1 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 59% of its visible star count.
Flagship share 59%Breakout repo: daily43-cpp
Organization pages work best when you separate portfolio breadth from flagship concentration. In OpenGenus Foundation's case, the visible top three repositories account for about 76% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (9), JavaScript (7), Unknown (5). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | opengenus/daily43-cpp DAILY43: Algorithmic Problems for Coding Interviews: Easy level, C++ edition | C++ | 24 |
| 2 | opengenus/Open-World-RPG-Game-in-Python Open World RPG Game in Python | Python | 4 |
| 3 | opengenus/DSA-takeover DSA Takeover [Best approach to master Data Structures and Algorithms] | C++ | 3 |
| 4 | opengenus/int8-training | Python | 3 |
| 5 | opengenus/CNN-pytorch CNN model training and inference in PyTorch | Python | 2 |
| 6 | opengenus/Fuel-Efficiency ML model to predict Fuel Efficiency | Jupyter Notebook | 2 |
| 7 | opengenus/Quantization-Aware-Training Quantization Aware Training | Python | 1 |
| 8 | opengenus/Library-management-system-BST Library management system | JavaScript | 1 |
| 9 | opengenus/password-generator-using-React Password generator using React and Vite (by OpenGenus Intern Anna) | JavaScript | 1 |
| 10 | opengenus/AI-cohort | Python | 0 |
| 11 | opengenus/Dodgeball Dodgeball in PyGame | 0 | |
| 12 | opengenus/Desktop-app | JavaScript | 0 |
| 13 | opengenus/ResNet50-PyTorch ResNet50 PyTorch | Python | 0 |
| 14 | opengenus/Depth-Estimation Depth Estimation - overview | Python | 0 |
| 15 | opengenus/Flask-Portfolio Web Portfolio written in Python using Flask | 0 | |
| 16 | opengenus/Genre-Classification Genre Classification Through Song Lyrics | Jupyter Notebook | 0 |
| 17 | opengenus/dropdown-HTML Different dropdowns in HTML | HTML | 0 |
| 18 | opengenus/dropup Drop up menu | 0 | |
| 19 | opengenus/Cascading-Dropdown Cascading Dropdown | JavaScript | 0 |
| 20 | opengenus/Responsive-Image-Grid Responsive Image Grid | HTML | 0 |
| 21 | opengenus/learn-DL Learn Deep Learning | Jupyter Notebook | 0 |
| 22 | opengenus/Popover-HTML Popover example in HTML page | HTML | 0 |
| 23 | opengenus/Semantic-Emotification Semantic Emotification with OCR and NLTK | 0 | |
| 24 | opengenus/Sentiment-Analysis-For-Mental-Health-Sites-and-Forums Sentiment Analysis For Mental Health Sites and Forums | Python | 0 |
| 25 | opengenus/Authentication-and-Authorization-in-Node.js Authentication and Authorization in Node.js | JavaScript | 0 |
| 26 | opengenus/CSS "Master CSS with practical projects" book | HTML | 0 |
| 27 | opengenus/Task-Tracking-App Task Tracking App | JavaScript | 0 |
| 28 | opengenus/Timestamp-Microservice Timestamp Microservice in JavaScript | JavaScript | 0 |
| 29 | opengenus/Music-Genre-Classification Music Genre Classification using Deep Learning | 0 | |
| 30 | opengenus/predict-Waiter-Tip Predict Waiter’s Tip using ML | Python | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.