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A ranking dashboard for GitHub momentum, durable repository leaders, package adoption, and editorial context.

Data source · GitHub API and package ecosystem snapshots

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Data sourced from GitHub API

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  3. Comp AI
Comp AIOrganization

Comp AI

@trycompai • We're building an open source platform to help companies get SOC 2, GDPR and ISO 27001 compliant.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

100%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

11 repos

Visible snapshot

11 repositories updated in the last 90 days.

Leading language

TypeScript

Portfolio mix

TypeScript (7), Unknown (2), Python (1)

Average size

1.2K

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-09-10(30d ago)GitHub API fallback11 repositories

Portfolio Shape

100%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

1.2K

stars per repository in this same snapshot.

Current Mix

TypeScript

is the most common language here, with 11 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 84% of its visible star count.

Flagship share 84%Breakout repo: crm

Organization pages work best when you separate portfolio breadth from flagship concentration. In Comp AI's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is TypeScript (7), Unknown (2), Python (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars🍴 ForksUpdated
1trycompai/crm

Comp AI CRM is an open source, CRM designed for AI agents. Agentic-first CRM.

TypeScript11.2K1.6K4 weeks ago
2trycompai/comp

AI Native platform to get companies compliant - Vanta & Drata Alternative

TypeScript2K424Today
3trycompai/openalternative

A community driven list of open source alternatives to proprietary software and applications.

TypeScript4962 months ago
4trycompai/design-systemTypeScript1742 weeks ago
5trycompai/prowler

Prowler is the Open Cloud Security for AWS, Azure, GCP, Kubernetes, M365 and more. As agent-less, it helps for continuous monitoring, security assessments & audits, incident response, compliance, hardening and forensics readiness. Includes CIS, NIST 800, NIST CSF, CISA, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, ENS and more

Python1341 months ago
6trycompai/evieTypeScript70Yesterday
7trycompai/infra-pathfinderTypeScript322 months ago
8trycompai/tmuxor

Voice-controlled Even G2 glasses app for your tmux Claude Code fleet

114 weeks ago
9trycompai/handbookTypeScript112 months ago
10trycompai/zello001 months ago
11trycompai/strapi-cloud-template-blog-463867b0cfJavaScript011 months ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.