AI Skill Hub 强烈推荐:Parallax 是一款优质的AI工具。已获得 1.3k 颗 GitHub Star,AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。
Parallax 是一款基于 Python 开发的开源工具,专注于 chatbot、distributed-systems、python 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
Parallax 是一款基于 Python 开发的开源工具,专注于 chatbot、distributed-systems、python 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:pip 安装(推荐)
pip install parallax
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install parallax
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/GradientHQ/parallax
cd parallax
pip install -e .
# 验证安装
python -c "import parallax; print('安装成功')"
# 命令行使用
parallax --help
# 基本用法
parallax input_file -o output_file
# Python 代码中调用
import parallax
# 示例
result = parallax.process("input")
print(result)
# parallax 配置文件示例(config.yml) app: name: "parallax" debug: false log_level: "INFO" # 运行时指定配置文件 parallax --config config.yml # 或通过环境变量配置 export PARALLAX_API_KEY="your-key" export PARALLAX_OUTPUT_DIR="./output"
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Gradient | Blog | X/Twitter (Gradient) | X/Twitter (Parallax) | Discord | Arxiv
A fully decentralized inference engine developed by Gradient. Parallax lets you build your own AI cluster for model inference onto a set of distributed nodes despite their varying configuration and physical location. Its core features include:
The backend architecture:
git clone https://github.com/GradientHQ/parallax.git
cd parallax
./install.sh
source .venv/bin/activate
parallax serve -m Qwen/Qwen3.5-0.8B
| Provider | HuggingFace Collection | Blog | Description | |
|---|---|---|---|---|
| DeepSeek | Deepseek | [DeepSeek-V3.2](https://huggingface.co/deepseek-ai/DeepSeek-V3.2)<br>[DeepSeek-R1](https://huggingface.co/collections/deepseek-ai/deepseek-r1) <br> | [DeepSeek-V3.2 Release](https://api-docs.deepseek.com/news/news251201) | DeepSeek-V3.2 is built for stronger reasoning and agent workflows, adding thinking-aware tool use while keeping both thinking and non-thinking tool-use modes available. |
| MiniMax | MiniMax AI | [MiniMax-M3](https://huggingface.co/MiniMaxAI/MiniMax-M3)<br>[MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) | [MiniMax M3: Frontier Coding, 1M Context, Native Multimodality](https://www.minimax.io/blog/minimax-m3) | MiniMax-M3 is a sparse-attention model for coding, agentic work, long-context tasks, and multimodal input, with MiniMax-M2.7 kept as a supported sibling model. |
| GLM | Z AI | [GLM-5.2](https://huggingface.co/zai-org/GLM-5.2)<br>[GLM-5.1](https://huggingface.co/zai-org/GLM-5.1)<br>[GLM-4.7](https://huggingface.co/zai-org/GLM-4.7) | [GLM-5.2: Built for Long-Horizon Tasks](https://z.ai/blog/glm-5.2) | GLM-5.2 is Z AI's latest flagship model for long-horizon coding agents, large-scale implementation, automated research, and performance optimization. |
| Kimi-K2 | Moonshot AI | [Kimi-K2-Thinking](https://huggingface.co/moonshotai/Kimi-K2-Thinking)<br>[Kimi-K2-Instruct-0905](https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905) | [Kimi K2 Thinking](https://moonshotai.github.io/Kimi-K2/thinking.html) | Kimi-K2-Thinking is the reasoning-focused Kimi-K2 variant for long-horizon agentic workflows, multi-step reasoning, and tool-heavy tasks. |
| Qwen | Qwen | [Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | [Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All](https://qwen.ai/blog?id=qwen3.6-35b-a3b) | Qwen3.6-35B-A3B is an open-weight MoE model focused on stable, practical coding and agentic workflows, with Qwen3-Next and larger Qwen3 MoE variants also represented. |
| gpt-oss | OpenAI | [gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b)<br>[gpt-oss-safeguard-120b](https://huggingface.co/openai/gpt-oss-safeguard-120b) | [Introducing gpt-oss-safeguard](https://openai.com/index/introducing-gpt-oss-safeguard/) | gpt-oss-120b is OpenAI's open-weight GPT model; gpt-oss-safeguard-120b adds policy-driven reasoning classification for flexible moderation and safety workflows. |
| Step | StepFun | [Step-3.5-Flash](https://huggingface.co/stepfun-ai/Step-3.5-Flash) | [Step 3.5 Flash](https://static.stepfun.com/blog/step-3.5-flash/) | Step-3.5-Flash is a sparse MoE foundation model for efficient reasoning and agentic workflows, activating a small subset of its total parameters per token. |
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总体来看,Parallax 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | parallax |
| 原始描述 | 开源AI工具:Parallax is a distributed model serving framework that lets you build your own A。⭐1.3k · Python |
| Topics | chatbotdistributed-systemspython |
| GitHub | https://github.com/GradientHQ/parallax |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-06-05 · 更新时间:2026-06-05 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。