Comparison
ai-getting-started vs kong
Verdict
Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick kong if kong is Lua-based and Apache-2.0 licensed for API and AI gateway purposes.
Markdown twin · ai-getting-started alternatives · kong alternatives
GraphCanon updated Oct 4, 2026
6views this month
vs
Trust & integrity
| Signal | ai-getting-started | kong |
|---|---|---|
| Maintenance | Dormant (759d since push) As of Sep 20, 2026 · github_public_v1 | Active (12d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ai-getting-started
- A Javascript AI getting started stack for weekend projects
- kong
- The API and AI Gateway
Stars
- ai-getting-started
- 4.1k
- kong
- 44k
Forks
- ai-getting-started
- 659
- kong
- 5.2k
Open issues
- ai-getting-started
- 16
- kong
- 200
Language
- ai-getting-started
- TypeScript
- kong
- Lua
Adopt for
- ai-getting-started
- ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations.
- kong
- Kong is Lua-based and Apache-2.0 licensed for API and AI gateway purposes.
Persona
- ai-getting-started
- -
- kong
- -
Runtime
- ai-getting-started
- -
- kong
- -
License
- ai-getting-started
- MIT
- kong
- Apache-2.0
Last pushed
- ai-getting-started
- Aug 21, 2024
- kong
- Sep 7, 2026
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- kong
- Developer Tools
Trust and health
Maintenance
- ai-getting-started
- Dormant (18%)
- kong
- Active (82%)
Days since push
- ai-getting-started
- 759d
- kong
- 12d
Open issues (now)
- ai-getting-started
- 16
- kong
- 200
Stars delta
- ai-getting-started
- +1 (30d)
- kong
- +299 (30d)
Open issues delta
- ai-getting-started
- 0 (30d)
- kong
- +33 (30d)
OSV dependency advisories
- ai-getting-started
- Published findings
- kong
- No lockfile (source not queried)
Full report
- ai-getting-started
- Trust report
- kong
- Trust report
Choose ai-getting-started if…
- ai-getting-started is primarily TypeScript; kong is Lua.
- License: ai-getting-started is MIT, kong is Apache-2.0.
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- Also covers Model Training, Vector Databases.
- ai-getting-started ships Docker support for self-hosted deployment.
- * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
When NOT to use ai-getting-started
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features.
- * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
Choose kong if…
- kong is primarily Lua; ai-getting-started is TypeScript.
- License: kong is Apache-2.0, ai-getting-started is MIT.
- Tags unique to kong: ai-gateway, api-gateway, cloud-native, kubernetes.
- requires Lua scripting
When NOT to use kong
- prefers non-Lua languages
- seeks competitor-native AI capabilities
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- GitHub forks (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- Last push (a16z-infra/ai-getting-started) · observed Aug 21, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Kong/kong) · observed Sep 20, 2026
- GitHub forks (Kong/kong) · observed Sep 20, 2026
- Last push (Kong/kong) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: ai-getting-started 4.1k · kong 44k (synced Sep 20, 2026).
Common questions
- What is the difference between ai-getting-started and kong?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. kong: The API and AI Gateway. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over kong?
- Choose ai-getting-started over kong when ai-getting-started is primarily TypeScript; kong is Lua; License: ai-getting-started is MIT, kong is Apache-2.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
- When should I choose kong over ai-getting-started?
- Choose kong over ai-getting-started when kong is primarily Lua; ai-getting-started is TypeScript; License: kong is Apache-2.0, ai-getting-started is MIT; Tags unique to kong: ai-gateway, api-gateway, cloud-native, kubernetes; requires Lua scripting.
- When should I avoid ai-getting-started?
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
- When should I avoid kong?
- prefers non-Lua languages seeks competitor-native AI capabilities
- Is ai-getting-started or kong more popular on GitHub?
- kong has more GitHub stars (44,157 vs 4,142). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and kong open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, kong: Apache-2.0).
- Where can I find alternatives to ai-getting-started or kong?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and kong alternatives (ai-getting-started markdown twin, kong markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ai-getting-started or kong?
- ai-getting-started: Dormant. kong: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ai-getting-started and kong?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; kong trust report.