Helping dev teams adopt OSS technologies and practices. Written by software engineers and community analysts.
Five repos accumulated 80,000+ combined stars in Q1 2026 trying to solve the same problem — AI agents that forget everything when the session ends. Their wildly different architectural bets reveal what "memory" really means in the agent era.
In 10 days, awesome-design-md hit 35K stars and 4,400 forks — faster than any awesome list in GitHub history. It's not just a list. It's evidence that markdown is becoming the protocol layer between humans, design, and AI agents.
In Q1 2026, a pattern emerged across GitHub's fastest-growing AI agent repos: they're written in Rust. Not Python. Not TypeScript. Rust. Here's what the data shows — and why it matters.
A cluster of repos launched in Q1 2026 with a wild premise: AI agents don't just assist companies — they run them. Here's what the GitHub data actually shows.
Six repos, 130,000+ stars, 90 days. A structural wave is rewriting how software exposes itself to the world — and it looks exactly like the REST API revolution did 15 years ago.
In early 2026, skill-pack repositories on GitHub are attracting stars 1.5× faster than agent runtimes in the same launch window. We analyzed 8 fast-growing repositories to understand why the value layer is moving from execution engines to distribution and workflows.
garrytan/gstack hit 50,000 GitHub stars in 16 days — for a personal AI engineering config. We analyzed the data behind this new category and found a pattern that reveals something fundamental about how developers learn in 2026.
Four teams rewrote OpenClaw from scratch in Python, Rust, Go, and TypeScript — accumulating 116K stars in 8 weeks. We read the code and analyzed the fork ratios. Here's what they reveal about who's building a product vs. a platform.
karpathy/autoresearch hit 54K stars in 19 days — faster than nanoGPT's entire three-year run. Here's what that velocity reveals about the shift from AI-assisted coding to AI-driven research.
250,000 stars in 10 weeks suggest agent skills are the future. But the data tells a more complicated story — one where skills might be a stepping stone to something we haven't named yet.
GitHub's trending page is broken. So we built our own — powered by 10.5 billion GitHub events, with filters, language breakdowns, and real activity metrics.
We analyzed 14 coding agents across 600K+ GitHub events to find out who's really winning the coding agent wars. Stars tell one story — contributor data tells a very different one.
How we migrated OSSInsight from a Docusaurus SPA to a Next.js App Router monorepo — and used Claude Code to ship 30+ SEO, SSR, and UX improvements in a single afternoon.
This blog contains all the configurations while building OSS Comparison GPTs.
SQL is a powerful language for managing and analyzing data, but it can be difficult to learn for beginners. That's where ChatGPT comes in.
This article will take a closer look at a few of these unsung heroes of the open source world.
Get insight of your own dataset by asking questions without writing sql with ease!
This post tells how a GitHub data insight website on a distributed database reduced online serving latency from 1.11s to 123.6ms.
We analyzed 5 billion+ GitHub events and got interesting findings about open source software, including top programming languages, geographic distribution behavior, popular open source topics, and the most active repositories and developers.
This post dives deeply into GitHub event trending, why GitHub events are surging, and whether GitHub's architecture can handle the increasing load.
The story about how we build the ossinsight project, including how we deal with the historical and real-time huge data, the database solutions and so on.
This article describes the evolution of bots in the GitHub world, their behaviors and characteristics, and the impact they have brought to the open source world.
In this chapter, we will share with you some of the top JavaScript Framework repos(JSF repos) on GitHub in 2021 measured by different metrics including the number of stars, PRs, contributors, countries, regions and so on.
In this chapter, we will share with you some of the top low-code development tools repos (LCDT repos) on GitHub in 2021 measured by different metrics including the number of stars, PRs, contributors, countries, regions and so on.
On this page, we will share with you many deep insights into open source databases, such as the database popularity, database contributors, coding vitality, community feedback and so on.
In this chapter, we will share with you some of the top programming language repos (PL repos) on GitHub in 2021 measured by different metrics including the number of stars, PRs, contributors, countries, regions and so on.
In this chapter, we will share with you some of the top Web Framework repos (WF repos) on GitHub in 2021 measured by different metrics including the number of stars, PRs, contributors, countries, regions and so on.
Here you can find the answer of what does a view of 4.6 billion Github events really look like and what secrets and values can be discovered in such an enormous amount of data.
This article describes how to building a real-time CRM application in a better way. Includes the potential database solutions.
![[Outdated] Use TiDB Cloud to Analyze GitHub Events in 10 Minutes](/blog-assets/try-it-yourself/import.png)
In this tutorial, we will provide you with a piece of sample data of all GitHub events occurring on January 1, 2022, and walk you through on how to use TiDB Cloud to analyze this data in 10 minutes.
In this section, we will explain step by step how we process the massive data archived by GH Archive which up to 4.7 billion rows.