Comparison
aikit vs FastChat
Verdict
Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; pick FastChat if fastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB.
Markdown twin · aikit alternatives · FastChat alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | aikit | FastChat |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Slowing (98d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- aikit
- Fine-tune, build, and deploy open-source LLMs easily!
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- aikit
- 537
- FastChat
- 40k
Forks
- aikit
- 57
- FastChat
- 4.8k
Open issues
- aikit
- 40
- FastChat
- 1.0k
Language
- aikit
- Go
- FastChat
- Python
Adopt for
- aikit
- Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
- FastChat
- FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB
Persona
- aikit
- -
- FastChat
- -
Runtime
- aikit
- -
- FastChat
- -
License
- aikit
- MIT
- FastChat
- Apache-2.0
Last pushed
- aikit
- Aug 24, 2026
- FastChat
- May 1, 2026
Categories
- aikit
- Inference & Serving, LLM Frameworks, Model Training
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- aikit
- Very active (96%)
- FastChat
- Slowing (36%)
Days since push
- aikit
- 0d
- FastChat
- 98d
Open issues (now)
- aikit
- 40
- FastChat
- 1.0k
Stars delta
- aikit
- +3 (30d)
- FastChat
- Unknown
Open issues delta
- aikit
- -3 (30d)
- FastChat
- Unknown
Full report
- aikit
- Trust report
- FastChat
- Trust report
Choose aikit if…
- aikit is primarily Go; FastChat is Python.
- License: aikit is MIT, FastChat is Apache-2.0.
- Tags unique to aikit: ai, buildkit, chatgpt, docker.
- aikit ships Docker support for self-hosted deployment.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.
When NOT to use aikit
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
- - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
Choose FastChat if…
- FastChat is primarily Python; aikit is Go.
- License: FastChat is Apache-2.0, aikit is MIT.
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models.
- Also covers Evaluation & Observability.
- - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When NOT to use FastChat
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions.
- - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations).
- - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on
- + Mac.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kaito-project/aikit) · observed Aug 24, 2026
- GitHub forks (kaito-project/aikit) · observed Aug 24, 2026
- Last push (kaito-project/aikit) · observed Aug 24, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lm-sys/FastChat) · observed Aug 7, 2026
- GitHub forks (lm-sys/FastChat) · observed Aug 7, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aikit 537 · FastChat 40k (synced Aug 24, 2026).
Common questions
- What is the difference between aikit and FastChat?
- aikit: Fine-tune, build, and deploy open-source LLMs easily!. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose aikit over FastChat?
- Choose aikit over FastChat when aikit is primarily Go; FastChat is Python; License: aikit is MIT, FastChat is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.
- When should I choose FastChat over aikit?
- Choose FastChat over aikit when FastChat is primarily Python; aikit is Go; License: FastChat is Apache-2.0, aikit is MIT; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; Also covers Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid aikit?
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
- When should I avoid FastChat?
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac.
- Is aikit or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,517 vs 537). Stars measure visibility, not whether either tool fits your constraints.
- Are aikit and FastChat open source?
- Yes - both are open-source projects on GitHub (aikit: MIT, FastChat: Apache-2.0).
- Where can I find alternatives to aikit or FastChat?
- GraphCanon lists graph-backed alternatives at aikit alternatives and FastChat alternatives (aikit markdown twin, FastChat 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, aikit or FastChat?
- aikit: Very active. FastChat: Slowing. 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 aikit and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aikit trust report; FastChat trust report.