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Dev Browser 
An online Dsa compiler lets you write, run, and test Dsa code instantly in your browser—no installation or setup required. Just open Nottri.com, select Dsa, and start coding. Whether you're a student, teacher, or developer, our platform provides a fast, accessible, and powerful way to practice, learn, and build projects from anywhere.
Traditional development environments require complex setup processes, dependency management, and often expensive software licenses. With Nottri.com's online Dsa compiler, you can skip all the hassle and dive straight into coding. Our platform supports the latest Dsa features, libraries, and frameworks, ensuring you're always working with cutting-edge technology.
Traditionally, online compilers take your code, send it to a remote server, and execute it using standard stdin (for input) and stdout (for output). You write code, click "Run", and see the results in a simple output box. But most platforms only offer basic execution in a shared or restricted environment, limiting what you can do.
The typical workflow involves: writing code in a basic text editor, submitting it to a queue, waiting for execution on shared resources, and receiving limited output. This approach often leads to slow performance, security concerns, and restricted functionality that doesn't reflect real-world development scenarios.
Nottri.com revolutionizes online coding by providing each user with their own isolated Linux environment. This isn't just a code executor—it's a complete development workspace that mirrors professional development environments.
dsa main.dsa, pip install, npm install)The inspiration for Nottri.com came from experiencing the frustrations of existing online coding platforms. We identified key pain points that developers, students, and educators face daily:
Most platforms suffer from slow execution, long queue times, and laggy interfaces that interrupt the coding flow.
Shared environments pose security risks, with limited isolation between users and restricted access to system resources.
Basic code runners lack the tools and flexibility needed for real-world development and learning scenarios.
Our solution addresses these challenges by providing a platform that combines the convenience of online access with the power and security of local development environments. We've built Nottri.com to be the platform we wished existed when we were learning to code.
ls, mkdir, grep, etc.)pip, npmStarting your coding journey with Nottri.com is incredibly simple:
Once you sign up on Nottri.com, you’re not just getting a compiler — you're getting a full project development workspace.
Just like GitHub or Replit, you can create new coding projects, organize them, and come back to continue anytime. But here’s what makes Nottri.com even more powerful:
flask run, npm install)Whether you're building a Flask web app, a React frontend, a Python script, or just solving DSA problems — Nottri's powerful editor and real terminal give you all the tools you need.
pip, npm, etc.We believe coding tools shouldn’t be expensive or complicated. That’s why Nottri.com offers one of the most affordable and flexible pricing systems on the internet — way cheaper than Replit, GitHub Codespaces, or any other cloud IDE.
Instead of complicated monthly plans, we use a simple credit-based system:
And here’s the best part…
Your credits are yours forever. Whether you buy 10 or 1000 credits — you can use them anytime, with no expiry date.
This gives you full freedom — pay only when you need power features.
We love consistency — and we reward it!
Every time you log in daily, you build a streak. And here’s what you get:
Even if you don’t buy credits, you can still earn them — just by showing up and learning or coding daily.
We understand that:
That’s why we offer fully custom pricing options:
Just tell us your needs — and we’ll make a plan just for you!
| Feature | Nottri.com | Other IDEs |
|---|---|---|
| Pay-as-you-go | ✅ Yes | ❌ Often No |
| Credit never expires | ✅ Yes | ❌ Mostly expire |
| Bonus on streak | ✅ Yes | ❌ Rare |
| Custom pricing | ✅ Yes | ❌ Limited |
| Hosting / IDE features | ✅ Powerful | 💸 Locked behind expensive plans |
This isn't just a code runner—it's a complete development ecosystem. Whether you're solving complex algorithms, learning a new programming paradigm, building production-ready applications, or teaching the next generation of developers, Nottri.com provides the tools, performance, and flexibility you need to succeed.
Join thousands of developers, students, and educators who have made Nottri.com their go-to platform for online coding. Experience the difference of having a real Linux environment at your fingertips, complete with the power and flexibility of professional development tools, all accessible through your web browser.
Access a full terminal environment, run Linux commands, and manage your project’s dependencies directly within the IDE.
Browse and interact with websites directly within the IDE. Supports real-time interaction with web content without leaving the workspace.
Manage your project files and directories effortlessly within the IDE. Create, edit, rename, move, and delete files—all in one place.
Experience seamless code editing with real-time syntax highlighting, tab support, and intelligent code suggestions for a smoother development workflow.
Data Structures and Algorithms (DSA) are fundamental concepts in computer science used to store and manipulate data efficiently. Understanding DSA helps in optimizing performance and solving problems effectively. It is essential for technical interviews, competitive programming, and software development.
An array is a collection of elements, identified by index or key, that are stored in contiguous memory locations. Arrays are the most basic data structure.
int[] arr = {1, 2, 3, 4, 5}; // Array initialization
System.out.println(arr[0]); // Accessing first elementCommon operations: Insertion, Deletion, Searching, Traversal, Sorting.
A linked list is a linear data structure where elements (nodes) are stored in memory, each pointing to the next element. Unlike arrays, linked lists do not require contiguous memory.
class Node {
int data;
Node next;
}
Node head = new Node();
head.data = 10;
head.next = null; // Adding the first elementCommon operations: Insertion, Deletion, Searching, Traversal.
A stack is a linear data structure that follows the Last In First Out (LIFO) principle. The last element added is the first one to be removed.
Stack stack = new Stack<>();
stack.push(1); // Push element to stack
int element = stack.pop(); // Pop element from stack Common operations: Push, Pop, Peek, IsEmpty.
A queue is a linear data structure that follows the First In First Out (FIFO) principle. The first element added is the first one to be removed.
Queue queue = new LinkedList<>();
queue.add(1); // Enqueue element
int element = queue.remove(); // Dequeue element Common operations: Enqueue, Dequeue, Peek, IsEmpty.
A tree is a hierarchical data structure consisting of nodes, with each node having a value and references to child nodes. The most common type of tree is the binary tree.
class Node {
int data;
Node left, right;
}
Node root = new Node();
root.data = 10;
root.left = null;
root.right = null;Common operations: Insertion, Deletion, Searching, Traversal (Pre-order, In-order, Post-order).
A graph is a non-linear data structure made up of nodes (vertices) and edges connecting the nodes. It can be directed or undirected.
class Graph {
List> adjList = new ArrayList<>();
void addEdge(int u, int v) {
adjList.get(u).add(v);
}
} Common operations: Depth First Search (DFS), Breadth First Search (BFS), Shortest Path, Cycle Detection.
Sorting algorithms are used to arrange the elements of a data structure in a specific order, such as ascending or descending.
int[] arr = {5, 3, 8, 1, 2};
Arrays.sort(arr); // Sorting the array in ascending orderCommon sorting algorithms: Bubble Sort, Selection Sort, Merge Sort, Quick Sort.
Searching algorithms are used to find an element within a data structure.
int[] arr = {1, 2, 3, 4, 5};
int index = Arrays.binarySearch(arr, 3); // Binary SearchCommon searching algorithms: Linear Search, Binary Search.
Dynamic programming (DP) is a method used to solve complex problems by breaking them down into simpler subproblems. It is often used for optimization problems.
int fib(int n) {
if (n <= 1) return n;
int[] dp = new int[n + 1];
dp[0] = 0;
dp[1] = 1;
for (int i = 2; i <= n; i++) {
dp[i] = dp[i - 1] + dp[i - 2];
}
return dp[n];
}Dynamic programming can help solve problems more efficiently by storing the results of overlapping subproblems.