algorithms vs List.js
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Readable Python implementations of common data structures and algorithms, for learning.
Open source · MIT
A small JavaScript library that adds search, sort, filter and pagination to existing HTML lists and tables.
The short answer
Choose algorithms if you need…
- Students studying data structures and algorithms
- Developers reviewing how a classic algorithm works in Python
- Preparing for coding interviews or competitive programming practice
- Looking up a reference implementation of a specific structure, such as a trie or red-black tree
Choose List.js if you need…
- Web developers adding search or sorting to an existing HTML table or list
- Developers who want a small library with no dependencies
- Projects that need pagination or simple add, edit and remove of list items
- Sites that must support older browsers, since the README lists IE9+ support
Side-by-side
| algorithms | List.js | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 25.6k | 11.2k |
| Setup difficulty | Beginner | Beginner |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Python | JavaScript |
| Last code update | 42 days ago | 19 months ago |
What each one is
algorithms
This is a collection of data structure and algorithm implementations written in Python 3. Each file is meant to be read and learned from, and the README says files include docstrings, type hints, and complexity notes. It can also be installed with pip and imported into your own code.
List.js
List.js is a JavaScript library that lets a web page search, sort, and filter items in an HTML list, table, or similar element without rebuilding that element from scratch. It is designed to be added to HTML you already have, and the README says it has no dependencies. Developers use it when they want interactive filtering on a page that already displays its data.
Best for
algorithms
- Students studying data structures and algorithms
- Developers reviewing how a classic algorithm works in Python
- Preparing for coding interviews or competitive programming practice
- Looking up a reference implementation of a specific structure, such as a trie or red-black tree
List.js
- Web developers adding search or sorting to an existing HTML table or list
- Developers who want a small library with no dependencies
- Projects that need pagination or simple add, edit and remove of list items
- Sites that must support older browsers, since the README lists IE9+ support
Strengths
algorithms
- Covers a wide range of topics, from sorting and graphs to segment trees and tries, organized into clear folders
- Each file is described as self-contained with docstrings and complexity notes, which suits learning
- Available on PyPI and licensed under MIT, so it is easy to install and reuse
List.js
- The README describes it as simple to apply to existing HTML and having no dependencies
- It works with plain <div>, <ul>, <table> and similar elements, according to the README
- It has a long history, with 11,203 stars and an MIT license
Not ideal for
algorithms
- Production systems that need heavily tested, performance-tuned libraries, since the README emphasizes clarity over optimization
- Non-Python projects, because all implementations are in Python
List.js
- People who need a complete app or no-code tool; this is a code library that requires writing JavaScript
- Projects needing very large server-side datasets, since the README only says it can handle thousands of items in the browser
- Teams that need active maintenance guarantees; the README does not describe a support plan and the last push date is 2025-04-27
Trade-offs
algorithms
- The README describes its goal as minimal, clean examples, so it is not a substitute for optimized or battle-tested libraries
- The README excerpt provided is truncated, so the full list of features and their maturity is not confirmed here
List.js
- It requires writing JavaScript and HTML; there is no visual interface
- The README is truncated and documentation details live on an external website
- Version 2.3.1 is the latest release and the README's copyright covers 2011-2020, so the project may move slowly
Getting started
Frequently asked questions
What is the difference between algorithms and List.js?
algorithms: Readable Python implementations of common data structures and algorithms, for learning. List.js: A small JavaScript library that adds search, sort, filter and pagination to existing HTML lists and tables. algorithms suits students studying data structures and algorithms, while List.js suits web developers adding search or sorting to an existing html table or list.
Are algorithms and List.js free?
algorithms: Free and open source. List.js: Free and open source.
Is algorithms or List.js more popular?
algorithms has more GitHub stars (25.6k) than List.js (11.2k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to algorithms and List.js?
Other options people compare them with include G6, TanStack Table, Kingfisher, Bootstrap Table.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.