Comparison
ai-getting-started vs envd
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 envd if envd is designed for creating reproducible development environments with Docker, suitable for both human developers and AI agents.
Markdown twin · ai-getting-started alternatives · envd alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | ai-getting-started | envd |
|---|---|---|
| Maintenance | Dormant (723d since push) As of 6d · github_public_v1 | Active (26d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · 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
- envd
- Reproducible development environment for humans and agents
Stars
- ai-getting-started
- 4.1k
- envd
- 2.2k
Forks
- ai-getting-started
- 660
- envd
- 168
Open issues
- ai-getting-started
- 16
- envd
- 139
Language
- ai-getting-started
- TypeScript
- envd
- Go
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.
- envd
- Envd is designed for creating reproducible development environments with Docker, suitable for both human developers and AI agents.
Persona
- ai-getting-started
- -
- envd
- -
Runtime
- ai-getting-started
- -
- envd
- -
License
- ai-getting-started
- MIT
- envd
- Apache-2.0
Last pushed
- ai-getting-started
- Aug 21, 2024
- envd
- Jul 25, 2026
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- envd
- Developer Tools
Trust and health
Maintenance
- ai-getting-started
- Dormant (18%)
- envd
- Active (82%)
Days since push
- ai-getting-started
- 723d
- envd
- 26d
Open issues (now)
- ai-getting-started
- 16
- envd
- 139
Stars delta
- ai-getting-started
- 0 (30d)
- envd
- +10 (30d)
Open issues delta
- ai-getting-started
- 0 (30d)
- envd
- +2 (30d)
Full report
- ai-getting-started
- Trust report
- envd
- Trust report
Choose ai-getting-started if…
- ai-getting-started is primarily TypeScript; envd is Go.
- License: ai-getting-started is MIT, envd 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 envd if…
- envd is primarily Go; ai-getting-started is TypeScript.
- License: envd is Apache-2.0, ai-getting-started is MIT.
- Tags unique to envd: agent, buildkit, codex, llmops.
- - When you need a tool that supports both traditional software development and AI/ML workflows.
When NOT to use envd
- - For scenarios requiring extensive customization of low-level Docker configurations for which EnvD may not offer direct support or flexibility.
- - If you're working in an environment where Docker is not supported or cannot be used due to organizational policies.
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 Aug 15, 2026
- GitHub forks (a16z-infra/ai-getting-started) · observed Aug 15, 2026
- Last push (a16z-infra/ai-getting-started) · observed Aug 21, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/envd) · observed Aug 20, 2026
- GitHub forks (tensorchord/envd) · observed Aug 20, 2026
- Last push (tensorchord/envd) · observed Jul 25, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-getting-started 4.1k · envd 2.2k (synced Aug 15, 2026).
Common questions
- What is the difference between ai-getting-started and envd?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. envd: Reproducible development environment for humans and agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over envd?
- Choose ai-getting-started over envd when ai-getting-started is primarily TypeScript; envd is Go; License: ai-getting-started is MIT, envd 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 envd over ai-getting-started?
- Choose envd over ai-getting-started when envd is primarily Go; ai-getting-started is TypeScript; License: envd is Apache-2.0, ai-getting-started is MIT; Tags unique to envd: agent, buildkit, codex, llmops; - When you need a tool that supports both traditional software development and AI/ML workflows.
- 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 envd?
- - For scenarios requiring extensive customization of low-level Docker configurations for which EnvD may not offer direct support or flexibility. - If you're working in an environment where Docker is not supported or cannot be used due to organizational policies.
- Is ai-getting-started or envd more popular on GitHub?
- ai-getting-started has more GitHub stars (4,141 vs 2,224). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and envd open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, envd: Apache-2.0).
- Where can I find alternatives to ai-getting-started or envd?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and envd alternatives (ai-getting-started markdown twin, envd 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 envd?
- ai-getting-started: Dormant. envd: 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 envd?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; envd trust report.