Comparison
FastChat vs mindspore
Verdict
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; pick mindspore if mindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile.
Markdown twin · FastChat alternatives · mindspore alternatives
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Trust & integrity
| Signal | FastChat | mindspore |
|---|---|---|
| Maintenance | Steady (71d since push) As of 1d · github_public_v1 | Dormant (712d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization 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 | 103 low (103 low) As of 1d · osv@v1 |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- mindspore
- An open-source deep learning framework for mobile, edge and cloud scenarios.
Stars
- FastChat
- 39k
- mindspore
- 4.7k
Forks
- FastChat
- 4.8k
- mindspore
- 752
Open issues
- FastChat
- 1.0k
- mindspore
- 225
Language
- FastChat
- Python
- mindspore
- C++
Adopt for
- 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
- mindspore
- MindSpore's core strengths lie in its flexibility across Ascend910, GPU CUDA 10.1, and CPU setups on multiple OSes; it excels in mobile, edge, and cloud scenarios.
Persona
- FastChat
- -
- mindspore
- -
Runtime
- FastChat
- -
- mindspore
- -
License
- FastChat
- Apache-2.0
- mindspore
- Apache-2.0
Last pushed
- FastChat
- May 1, 2026
- mindspore
- Jul 29, 2024
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- mindspore
- Inference & Serving, Model Training
Trust and health
Maintenance
- FastChat
- Steady (60%)
- mindspore
- Dormant (18%)
Days since push
- FastChat
- 71d
- mindspore
- 712d
Open issues (now)
- FastChat
- 1.0k
- mindspore
- 225
Security scan
- FastChat
- No lockfile
- mindspore
- 103 low (103 low)
Full report
- FastChat
- Trust report
- mindspore
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · mindspore: Python runtime
Choose FastChat if…
- FastChat is primarily Python; mindspore is C++.
- Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models.
- Also covers Evaluation & Observability, LLM Frameworks.
- - 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.
Choose mindspore if…
- mindspore is primarily C++; FastChat is Python.
- Tags unique to mindspore: ascend910, cpu support, deep-learning, gpu support.
- When working with Huawei's Ascend hardware like Ascend910
When NOT to use mindspore
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available
- Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions
- If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (mindspore-ai/mindspore) · observed Jul 11, 2026
- GitHub forks (mindspore-ai/mindspore) · observed Jul 11, 2026
- Last push (mindspore-ai/mindspore) · observed Jul 29, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · mindspore 4.7k (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and mindspore?
- FastChat: An open platform for training, serving, and evaluating large language models. mindspore: An open-source deep learning framework for mobile, edge and cloud scenarios.. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over mindspore?
- Choose FastChat over mindspore when FastChat is primarily Python; mindspore is C++; Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose mindspore over FastChat?
- Choose mindspore over FastChat when mindspore is primarily C++; FastChat is Python; Tags unique to mindspore: ascend910, cpu support, deep-learning, gpu support; When working with Huawei's Ascend hardware like Ascend910.
- 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.
- When should I avoid mindspore?
- Avoid if only NVIDIA GPUs without CUDA 10.1 support are available Not ideal for users requiring non-LINUX (excluding Windows) environments beyond specified Ubuntu/CentOS/x86 versions If development primarily targets hardware not covered by MindSpore's Ascend, CUDA, or CPU setups
- Is FastChat or mindspore more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 4,694). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and mindspore open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, mindspore: Apache-2.0).
- Where can I find alternatives to FastChat or mindspore?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and mindspore alternatives (FastChat markdown twin, mindspore 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, FastChat or mindspore?
- FastChat: Steady. mindspore: 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 FastChat and mindspore?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; mindspore trust report.