Comparison
ai-getting-started vs guildai
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 guildai if guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization.
Markdown twin · ai-getting-started alternatives · guildai alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-getting-started | guildai |
|---|---|---|
| Maintenance | Dormant (723d since push) As of 1w · github_public_v1 | Dormant (460d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- guildai
- Experiment tracking, ML developer tools
Stars
- ai-getting-started
- 4.1k
- guildai
- 904
Forks
- ai-getting-started
- 660
- guildai
- 93
Open issues
- ai-getting-started
- 16
- guildai
- 237
Language
- ai-getting-started
- TypeScript
- guildai
- Python
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.
- guildai
- Guild AI is geared towards Python developers who need to manage various types of experiments and utilize optimization methods like grid search, random search, and Bayesian optimization.
Persona
- ai-getting-started
- -
- guildai
- -
Runtime
- ai-getting-started
- -
- guildai
- -
License
- ai-getting-started
- MIT
- guildai
- Apache-2.0
Last pushed
- ai-getting-started
- Aug 21, 2024
- guildai
- Apr 29, 2025
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- guildai
- Developer Tools, Model Training
Trust and health
Days since push
- ai-getting-started
- 723d
- guildai
- 460d
Open issues (now)
- ai-getting-started
- 16
- guildai
- 237
Stars delta
- ai-getting-started
- 0 (30d)
- guildai
- Unknown
Open issues delta
- ai-getting-started
- 0 (30d)
- guildai
- Unknown
Full report
- ai-getting-started
- Trust report
- guildai
- Trust report
Choose ai-getting-started if…
- ai-getting-started is primarily TypeScript; guildai is Python.
- License: ai-getting-started is MIT, guildai is Apache-2.0.
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- Also covers 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 guildai if…
- guildai is primarily Python; ai-getting-started is TypeScript.
- License: guildai is Apache-2.0, ai-getting-started is MIT.
- Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search.
- You require automation for running multiple experiment configurations to compare different models effectively.
When NOT to use guildai
- If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities.
- Your model development does not require intricate optimization methods or trial automation provided by this toolkit.
- The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data.
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 (guildai/guildai) · observed Aug 3, 2026
- GitHub forks (guildai/guildai) · observed Aug 3, 2026
- Last push (guildai/guildai) · observed Apr 29, 2025
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-getting-started 4.1k · guildai 904 (synced Aug 15, 2026).
Common questions
- What is the difference between ai-getting-started and guildai?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. guildai: Experiment tracking, ML developer tools. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over guildai?
- Choose ai-getting-started over guildai when ai-getting-started is primarily TypeScript; guildai is Python; License: ai-getting-started is MIT, guildai is Apache-2.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers 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 guildai over ai-getting-started?
- Choose guildai over ai-getting-started when guildai is primarily Python; ai-getting-started is TypeScript; License: guildai is Apache-2.0, ai-getting-started is MIT; Tags unique to guildai: automation, bayesian-optimization, experiment tracking, grid search; You require automation for running multiple experiment configurations to compare different models effectively.
- 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 guildai?
- If your project exclusively uses languages other than Python for machine learning tasks, Guild AI's capabilities may not be fully leveraged due to language-specific functionalities. Your model development does not require intricate optimization methods or trial automation provided by this toolkit. The need for experimentation tracking and archiving on cloud solutions is limited or you prefer manual handling of experiment data.
- Is ai-getting-started or guildai more popular on GitHub?
- ai-getting-started has more GitHub stars (4,141 vs 904). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and guildai open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, guildai: Apache-2.0).
- Where can I find alternatives to ai-getting-started or guildai?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and guildai alternatives (ai-getting-started markdown twin, guildai 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 guildai?
- ai-getting-started: Dormant. guildai: Dormant. 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 guildai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; guildai trust report.