PlummersSoftwareLLC/Primes

Prime number projects in 100+ programming languages, to compare their speed - and their programmer's cleverness

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PlummersSoftwareLLC/Primes has 3k+ stars and 600+ forks on GitHub, is written in C, and was last pushed on Oct 11, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 2 hours ago
Added to GitGenius on September 22nd, 2026
Created on March 23rd, 2021
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 611
Total Stargazers: 3,039 (+0)
Total Subscribers: 66 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.1 hours
Mean response time: 38.5 days
90th percentile: 11.8 days
Tracked items: 11

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 975 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Primes is a benchmark collection that implements the same prime number sieve algorithm across more than 100 programming languages to compare their execution speed and code approaches.

The project solves the problem of objectively comparing programming language performance by using a standardized algorithm—the Sieve of Eratosthenes—implemented consistently across many languages. This approach isolates language and runtime performance characteristics by holding the algorithmic problem constant, allowing developers to see how different languages handle the same computational task. The repository includes tooling for automated builds and daily benchmarks, with results viewable through an in-browser application that lets users filter and sort performance data across languages and implementations.

The project suits anyone interested in language performance comparisons, whether for educational purposes, technology selection, or curiosity about how different languages tackle the same problem. It works well for developers evaluating multiple languages or seeking concrete performance data rather than anecdotal claims. The collection accepts community contributions, so it grows through submissions of alternative implementations and language additions. The in-browser PrimeView application makes results accessible without requiring local setup, though developers can also run benchmarks locally using the provided Makefile.

The project maintains active community engagement through accepted pull requests for new solutions and improvements. Benchmark execution is automated across multiple machines, with results updated regularly to reflect current performance characteristics.