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Home/Compare/image-hijacks vs FastChat

Comparison

image-hijacks vs FastChat

Verdict

Pick image-hijacks when license: image-hijacks is MIT, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, image-hijacks is MIT.

Markdown twin · image-hijacks alternatives · FastChat alternatives

GraphCanon updated today

image-hijacks logo

image-hijacks

euanong/image-hijacks

★ 56pushed Sep 19, 2023
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026

Trust & integrity

Signalimage-hijacksFastChat
Maintenance
Dormant (1026d since push)
As of today · github_public_v1
Steady (71d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
image-hijacks trust reportFastChat trust reportTrust methodology

Tagline

image-hijacks
Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime
FastChat
An open platform for training, serving, and evaluating large language models

Stars

image-hijacks
56
FastChat
39k

Forks

image-hijacks
12
FastChat
4.8k

Open issues

image-hijacks
8
FastChat
1.0k

Language

image-hijacks
Python
FastChat
Python

Adopt for

image-hijacks
-
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

image-hijacks
-
FastChat
-

Runtime

image-hijacks
-
FastChat
-

License

image-hijacks
MIT
FastChat
Apache-2.0

Last pushed

image-hijacks
Sep 19, 2023
FastChat
May 1, 2026

Categories

image-hijacks
Model Training, Computer Vision, Inference & Serving
FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

image-hijacks
Dormant (18%)
FastChat
Steady (60%)

Days since push

image-hijacks
1026d
FastChat
71d

Open issues (now)

image-hijacks
8
FastChat
1.0k

Owner type

image-hijacks
User
FastChat
Organization

Full report

image-hijacks
Trust report
FastChat
Trust report

Shared compatibility

  • Python · image-hijacks: Python runtime · FastChat: Python runtime

Choose image-hijacks if…

  • License: image-hijacks is MIT, FastChat is Apache-2.0.
  • Tags unique to image-hijacks: python.
  • Also covers Computer Vision.

When NOT to use image-hijacks

  • Last GitHub push was 1026 days ago (dormant maintenance, Sep 19, 2023). Validate activity before betting a new project on image-hijacks.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose FastChat if…

  • License: FastChat is Apache-2.0, image-hijacks is MIT.
  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers LLM Frameworks, 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.
GitHubDetails

Explore

image-hijacks trust report →FastChat trust report →Model Training category →Computer Vision category →Inference & Serving category →LLM Frameworks category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: image-hijacks 56 · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between image-hijacks and FastChat?
image-hijacks: Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime. 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 image-hijacks over FastChat?
Choose image-hijacks over FastChat when License: image-hijacks is MIT, FastChat is Apache-2.0; Tags unique to image-hijacks: python; Also covers Computer Vision.
When should I choose FastChat over image-hijacks?
Choose FastChat over image-hijacks when License: FastChat is Apache-2.0, image-hijacks is MIT; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I avoid image-hijacks?
Last GitHub push was 1026 days ago (dormant maintenance, Sep 19, 2023). Validate activity before betting a new project on image-hijacks. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 image-hijacks or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 56). Stars measure visibility, not whether either tool fits your constraints.
Are image-hijacks and FastChat open source?
Yes - both are open-source projects on GitHub (image-hijacks: MIT, FastChat: Apache-2.0).
Where can I find alternatives to image-hijacks or FastChat?
GraphCanon lists graph-backed alternatives at image-hijacks alternatives and FastChat alternatives (image-hijacks 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, image-hijacks or FastChat?
image-hijacks: 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 image-hijacks and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: image-hijacks trust report; FastChat trust report.