Comparison
apps vs FastChat
Verdict
Pick apps when license: apps is MIT, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, apps is MIT.
Markdown twin · apps alternatives · FastChat alternatives
GraphCanon updated today
Trust & integrity
| Signal | apps | FastChat |
|---|---|---|
| Maintenance | Dormant (752d 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) | 77 low (77 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- apps
- APPS: Automated Programming Progress Standard (NeurIPS 2021)
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- apps
- 536
- FastChat
- 39k
Forks
- apps
- 70
- FastChat
- 4.8k
Open issues
- apps
- 4
- FastChat
- 1.0k
Language
- apps
- Python
- FastChat
- Python
Adopt for
- apps
- -
- 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
- apps
- -
- FastChat
- -
Runtime
- apps
- -
- FastChat
- -
License
- apps
- MIT
- FastChat
- Apache-2.0
Last pushed
- apps
- Jun 19, 2024
- FastChat
- May 1, 2026
Categories
- apps
- Vector Databases, Model Training, Evaluation & Observability
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
Trust and health
Maintenance
- apps
- Dormant (18%)
- FastChat
- Steady (60%)
Days since push
- apps
- 752d
- FastChat
- 71d
Open issues (now)
- apps
- 4
- FastChat
- 1.0k
Owner type
- apps
- User
- FastChat
- Organization
Security scan
- apps
- 77 low (77 low)
- FastChat
- No lockfile
Full report
- apps
- Trust report
- FastChat
- Trust report
Choose apps if…
- License: apps is MIT, FastChat is Apache-2.0.
- Tags unique to apps: program-synthesis, python, code-generation.
- Also covers Vector Databases.
When NOT to use apps
- Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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, apps is MIT.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers LLM Frameworks, Inference & Serving.
- - 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 (hendrycks/apps) · observed Jul 11, 2026
- GitHub forks (hendrycks/apps) · observed Jul 11, 2026
- Last push (hendrycks/apps) · observed Jun 19, 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: apps 536 · FastChat 39k (synced Jul 11, 2026).
Common questions
- What is the difference between apps and FastChat?
- apps: APPS: Automated Programming Progress Standard (NeurIPS 2021). 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 apps over FastChat?
- Choose apps over FastChat when License: apps is MIT, FastChat is Apache-2.0; Tags unique to apps: program-synthesis, python, code-generation; Also covers Vector Databases.
- When should I choose FastChat over apps?
- Choose FastChat over apps when License: FastChat is Apache-2.0, apps is MIT; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid apps?
- Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 apps or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 536). Stars measure visibility, not whether either tool fits your constraints.
- Are apps and FastChat open source?
- Yes - both are open-source projects on GitHub (apps: MIT, FastChat: Apache-2.0).
- Where can I find alternatives to apps or FastChat?
- GraphCanon lists graph-backed alternatives at apps alternatives and FastChat alternatives (apps 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, apps or FastChat?
- apps: 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 apps and FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: apps trust report; FastChat trust report.