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2 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)

Language: MDX
Tag: Machine learning
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1.wasp-lang / open-saas

A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Shadcn UI, S3 file upload. AI-ready with tailored AGENTS.md, skills, and Claude Code plugin. One cmd deploy. Powered by Wasp full-stack framework.

full-stack
open-source
saas
nodejs
prisma
react
+14 more

MDX MIT16K total2K forks

+2,022 stars

from 14,221 · score 7.61

2.polyaxon / polyaxon

AI Infra / AI Orchestration / AI Control Plane

deep-learning
machine-learning
artificial-intelligence
data-science
reinforcement-learning
kubernetes
+14 more

MDX APACHE-2.03.7K total329 forks

+50 stars

from 3,697 · score 3.93

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

Repositories enter the index from the starting dataset of the index, or by gaining stars faster than the published admission threshold, whatever their size. A repository stays in the index after it enters. Thus an archived repository can still rank.

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