TypeScript · surging
Momentum
87
100
commits
96
pull requests
45
contributors
AI coding tools · 30-day view
AI coding projects can collect attention in a weekend, but durable momentum is harder to fake. This board looks beyond total stars and compares the recent work behind each project: commits, pull requests, active contributors, issue resolution, and the rhythm of releases. Use it to find tools that are still shipping after the launch spike, evaluate an adoption shortlist, or spot a project before it becomes the obvious choice.
Best for developers and engineering leaders comparing open-source AI coding agents, terminal assistants, and AI-native development tools.
Tracked projects
2
Median momentum
87
30-day commits
200
Live GitHub samples
2/2
Current ranking
Latest source update 2026-10-20
TypeScript · surging
Momentum
87
100
commits
96
pull requests
45
contributors
TypeScript · surging
Momentum
83
100
commits
75
pull requests
14
contributors
Live rows use capped recent GitHub activity samples; remaining preview rows are labeled illustrative until automatic ingestion completes. Momentum is directional and not a security or production-readiness rating.
Reading the current
Recent commits and pull requests indicate whether the roadmap is still moving after the initial launch.
A growing set of active contributors is a healthier signal than one maintainer carrying every release.
Issue resolution provides an early proxy for whether adoption is outpacing a project’s support capacity.
What this board can answer—and where project due diligence still matters.
There is no universal winner. RepoCurrent ranks current momentum, then exposes the underlying signals so you can weigh terminal workflow, language support, contributor health, and release pace for your use case.
Stars measure accumulated attention and can lag—or outlive—current development health. Recent activity, contributors, issue handling, and releases show whether a project is still accelerating now.
GitHub metadata and the labeled recent activity sample refresh automatically every two hours. Early coverage is intentionally marked so sampled data is not mistaken for an exhaustive audit.
Keep exploring