In GSoC 2026First time in 2026

Learning Unlimited

Learning Unlimited's mission is to create educational opportunities for high school and middle school students, and to provide leadership and teaching opportunities for college students. Learning Unlimited strives to engage students of all ages in an educational setting to share and discover their passions. To accomplish this, Learning Unlimited links local universities with their communities. Our open source work revolves around building and maintaining website infrastructure for these chapters to use.

Ideas list Website

Contributors in 2026

First cycle

Projects since 2016

3 a cycle on average

Cycles

1 of 11

First in 2026

Rank in 2026

#119

of 183, 0.3% of slots

Mentors

–

Not published

Contributors per cycle

Accepted projects each year, against the median organization that year

View as table

Learning Unlimited contributors per cycle
	Learning Unlimited	Median organization
2016	0	4
2017	0	4
2018	0	3
2019	0	4
2020	0	4
2021	0	4
2022	0	3
2023	0	4
2024	0	4
2025	0	5
2026	3	4

Stack and topics

Each one has its own page of organizations and trends

Education Web Full stack Outreach

Quick answers

Is Learning Unlimited in GSoC 2026?: Yes, with 3 contributors, in its first cycle.
How long has it taken part?: 1 of 11 cycles since 2016, first in 2026.
How many contributors does it usually take?: 3 a cycle on average, 3 in total. Its largest cycle was 2026, with 3.
What does it build with?: Python, JavaScript, Django, HTML, CSS.

Accepted projects

3 projects in 2026 · All 3 projects since 2016

Theming Improvements
Oval
Our website’s theming system, which allows individual chapters to customize the look of their websites, is due for a major overhaul. The site...
Project
New Module Management UI
Supriyo Chowdhury
ESP-Website administrators currently manage program modules manually with no way to pre-schedule transitions, causing configuration errors that risk...
Project
Systematic Regression Test Expansion for ESP
Vipul Subhash Pandey
This project focuses on systematically expanding regression test coverage for the ESP codebase by targeting high-risk, untested logic paths rather...
Project