Code tools
Online Compiler and Code Runner
Run code online in a curated set of programming languages, frontend editors and database query tools. This section is intentionally quality-first: every published page includes a working editor, original examples, practical explanations and internal links.
Starter preview
const tools = ["Python", "JavaScript", "HTML", "SQL"];
const usefulPages = tools.filter(Boolean);
console.log("Build for users first:", usefulPages);Programming Language Compilers
Practice real programming problems in focused editors for Python, JavaScript, Java, C and C++. Each page includes starter code, stdin support where relevant, original examples and practical debugging notes.
5 toolsWeb and Frontend Code Tools
Build browser examples with live preview tools for HTML and React. These pages focus on fast experiments, layout checks, reusable snippets and beginner-friendly frontend learning.
2 toolsDatabase Query Tools
Try database queries against safe sample datasets. The SQL and MongoDB tools are designed for learning SELECT queries, filters, aggregations and document lookups without connecting to production data.
3 toolsPopular Online Compiler Tools
Open the most requested compiler and code tools first: Python, JavaScript, HTML, Java, MySQL, PostgreSQL, MongoDB, C, C++ and React.
10 toolsPopular compiler tools
Start with the tools that have the strongest practical coverage today.
Online Python Compiler
Write and test Python snippets with stdin, readable output and beginner-friendly examples.
Open toolOnline JavaScript Compiler
Run JavaScript snippets in the browser with console output, errors and downloadable code.
Open toolOnline Java Compiler
Compile Java Main-class examples with stdin support and practical debugging guidance.
Open toolOnline C Compiler
Practice C programs with arrays, loops, printf output and compiler-error guidance.
Open toolOnline C++ Compiler
Compile C++ snippets with STL examples, stdin support and clear common-error notes.
Open toolOnline HTML Editor
Edit HTML, CSS and JavaScript in one document with an isolated live preview.
Open toolOnline React Editor
Preview small React component examples in a browser sandbox with state and event handlers.
Open toolOnline MySQL Query Tool
Practice MySQL SELECT queries against safe sample customers, orders and products data.
Open toolOnline PostgreSQL Query Tool
Run PostgreSQL-style SELECT examples on a safe sample dataset with result-table output.
Open toolOnline MongoDB Query Tool
Practice MongoDB find queries on safe sample order documents with JSON output.
Open toolWhy this compiler section is quality-first
Compiler websites can become thin when hundreds of language pages share the same template with only the language name changed. Anku AI Tools takes the opposite route: each published compiler page needs a real workflow, starter code, examples, common-error guidance, FAQ content and related links.
- Frontend tools run in isolated browser previews.
- Database tools use safe sample data instead of production connections.
- Compiled languages are routed through a sandbox provider when enabled.
- New pages should be added only when they satisfy user value and SEO quality checks.
Explore other Anku AI Tools categories
Frequently Asked Questions
Why does Anku AI Tools start with a smaller compiler catalog?
The compiler section prioritizes useful pages over mass-generated URLs. Each published tool needs real functionality, original examples, helpful explanations, internal links and a unique FAQ before it becomes indexable.
Which code tools run directly in the browser?
JavaScript runs in a browser worker, while HTML and React render in isolated iframes. MySQL, PostgreSQL and MongoDB use safe sample datasets through the API route.
Do Python, Java, C and C++ run on the Next.js server?
No. Compiled and server-side languages require a sandbox provider such as Piston. The app exposes /api/code/run as a proxy and does not execute submitted native code inside the Next.js process.
Can I download code from the editor?
Yes. Each tool saves the current editor content with a language-specific file extension, such as .py, .js, .html, .java, .c, .cpp or .sql.
Will more languages be added?
Yes, but only when each page can include useful functionality, distinct examples and original supporting content. This avoids thin duplicate pages and keeps the section valuable for users and search engines.