Comparison
gpt-migrate vs FastChat
Verdict
Pick gpt-migrate when license: gpt-migrate is MIT, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, gpt-migrate is MIT.
Markdown twin · gpt-migrate alternatives · FastChat alternatives
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Trust & integrity
| Signal | gpt-migrate | FastChat |
|---|---|---|
| Maintenance | Dormant (661d since push) As of 1d · github_public_v1 | Steady (71d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of 1d · none |
Tagline
- gpt-migrate
- Easily migrate your codebase from one framework or language to another.
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- gpt-migrate
- 7.0k
- FastChat
- 39k
Forks
- gpt-migrate
- 502
- FastChat
- 4.8k
Open issues
- gpt-migrate
- 26
- FastChat
- 1.0k
Language
- gpt-migrate
- Python
- FastChat
- Python
Adopt for
- gpt-migrate
- -
- 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
- gpt-migrate
- -
- FastChat
- -
Runtime
- gpt-migrate
- -
- FastChat
- -
License
- gpt-migrate
- MIT
- FastChat
- Apache-2.0
Last pushed
- gpt-migrate
- Sep 17, 2024
- FastChat
- May 1, 2026
Categories
- gpt-migrate
- Data & Retrieval, Evaluation & Observability
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- gpt-migrate
- Dormant (18%)
- FastChat
- Steady (60%)
Days since push
- gpt-migrate
- 661d
- FastChat
- 71d
Open issues (now)
- gpt-migrate
- 26
- FastChat
- 1.0k
Owner type
- gpt-migrate
- User
- FastChat
- Organization
Full report
- gpt-migrate
- Trust report
- FastChat
- Trust report
Shared compatibility
- Python · gpt-migrate: Python runtime · FastChat: Python runtime
Choose gpt-migrate if…
- License: gpt-migrate is MIT, FastChat is Apache-2.0.
- Tags unique to gpt-migrate: python.
- Also covers Data & Retrieval.
When NOT to use gpt-migrate
- Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose FastChat if…
- License: FastChat is Apache-2.0, gpt-migrate is MIT.
- Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models.
- Also covers Inference & Serving, LLM Frameworks, Model Training.
- - 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 (joshpxyne/gpt-migrate) · observed Jul 11, 2026
- GitHub forks (joshpxyne/gpt-migrate) · observed Jul 11, 2026
- Last push (joshpxyne/gpt-migrate) · observed Sep 17, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lm-sys/FastChat) · observed Jul 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt-migrate 7.0k · FastChat 39k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt-migrate and FastChat?
- gpt-migrate: Easily migrate your codebase from one framework or language to another.. 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 gpt-migrate over FastChat?
- Choose gpt-migrate over FastChat when License: gpt-migrate is MIT, FastChat is Apache-2.0; Tags unique to gpt-migrate: python; Also covers Data & Retrieval.
- When should I choose FastChat over gpt-migrate?
- Choose FastChat over gpt-migrate when License: FastChat is Apache-2.0, gpt-migrate is MIT; Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers Inference & Serving, LLM Frameworks, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid gpt-migrate?
- Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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 gpt-migrate or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 6,982). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-migrate and FastChat open source?
- Yes - both are open-source projects on GitHub (gpt-migrate: MIT, FastChat: Apache-2.0).
- Where can I find alternatives to gpt-migrate or FastChat?
- GraphCanon lists graph-backed alternatives at gpt-migrate alternatives and FastChat alternatives (gpt-migrate 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, gpt-migrate or FastChat?
- gpt-migrate: Dormant. FastChat: Steady. 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 gpt-migrate and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-migrate trust report; FastChat trust report.