---
title: "amazon-sagemaker-examples alternatives"
type: "alternatives"
slug: "aws-amazon-sagemaker-examples"
canonical_url: "https://www.graphcanon.com/tools/aws-amazon-sagemaker-examples/alternatives"
of: "aws-amazon-sagemaker-examples"
count: 24
---

# amazon-sagemaker-examples alternatives

*GraphCanon updated Jul 15, 2026*

Open-source alternatives to [amazon-sagemaker-examples](/tools/aws-amazon-sagemaker-examples.md) in Inference & Serving, Model Training.

## In short

Top alternatives to amazon-sagemaker-examples are ColossalAI and DeepSpeed, ranked by typed graph edges - inference-serving.

[amazon-sagemaker-examples](https://sagemaker-examples.readthedocs.io) has 11k GitHub stars and 849 open issues, last pushed Jul 7, 2026 per [its repository](https://github.com/aws/amazon-sagemaker-examples). The top typed alternative, [ColossalAI](https://github.com/hpcaitech/ColossalAI), shows 41k stars and 4.5k forks, last pushed Jul 13, 2026.

## Same categories

- [ColossalAI](/tools/hpcaitech-colossalai.md) - Making large AI models cheaper, faster and more accessible (★ 41,413) [Very active]
- [DeepSpeed](/tools/deepspeedai-deepspeed.md) - Deep learning optimization library for efficient distributed training and inference (★ 42,700) [Very active]
- [FastChat](/tools/lm-sys-fastchat.md) - An open platform for training, serving, and evaluating large language models (★ 39,494) [Steady]
- [jax](/tools/jax-ml-jax.md) - Composable transformations of Python+NumPy programs (★ 35,999) [Very active]
- [JeecgBoot](/tools/jeecgboot-jeecgboot.md) - AI低代码平台，实现快速生成前后端系统及模块 (★ 47,011) [Very active]
- [LibreChat](/tools/danny-avila-librechat.md) - Enhanced ChatGPT Clone with extensive features and integrations for self-hosting (★ 40,571) [Very active]
- [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,904) [Slowing]
- [MockingBird](/tools/babysor-mockingbird.md) - 🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time (★ 36,920) [Slowing]
- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [ray](/tools/ray-project-ray.md) - Ray is an AI compute engine with a core distributed runtime and AI Libraries for accelerating ML workloads. (★ 43,190) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [TTS](/tools/coqui-ai-tts.md) - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production (★ 45,737) [Dormant]
- [unsloth](/tools/unslothai-unsloth.md) - A web UI for training and running open models locally. (★ 68,030) [Very active]
- [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) - 12 Weeks, 24 Lessons, AI for All! (★ 52,098) [Very active]
- [anything-llm](/tools/mintplex-labs-anything-llm.md) - Self-hosted agent experience with deployment scripts for multiple environments (★ 63,100) [Very active]
- [chatbox](/tools/chatboxai-chatbox.md) - Powerful AI Client (★ 41,011) [Steady]
- [claude-mem](/tools/thedotmack-claude-mem.md) - Persistent Context Across Sessions for Every Agent (★ 86,816) [Very active]
- [code-server](/tools/coder-code-server.md) - VS Code in the browser (★ 78,364) [Very active]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant] _[Freemium]_
- [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) - Repository lacking description with unspecified content related to AI development. (★ 103,904) [Slowing]
- [google-research](/tools/google-research-google-research.md) - Google Research Repository (★ 38,353) [Very active]
- [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) (★ 59,643) [Very active]
- [gpt4all](/tools/nomic-ai-gpt4all.md) - Run Local LLMs on Any Device (★ 77,386) [Dormant]
- [hyperswitch](/tools/juspay-hyperswitch.md) - Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorizati (★ 43,274) [Very active]

## Head-to-head comparisons

- [amazon-sagemaker-examples vs ColossalAI](/compare/aws-amazon-sagemaker-examples-vs-hpcaitech-colossalai.md)
- [amazon-sagemaker-examples vs DeepSpeed](/compare/aws-amazon-sagemaker-examples-vs-deepspeedai-deepspeed.md)
- [amazon-sagemaker-examples vs FastChat](/compare/aws-amazon-sagemaker-examples-vs-lm-sys-fastchat.md)
- [amazon-sagemaker-examples vs jax](/compare/aws-amazon-sagemaker-examples-vs-jax-ml-jax.md)
- [amazon-sagemaker-examples vs JeecgBoot](/compare/aws-amazon-sagemaker-examples-vs-jeecgboot-jeecgboot.md)
- [amazon-sagemaker-examples vs LibreChat](/compare/aws-amazon-sagemaker-examples-vs-danny-avila-librechat.md)
- [amazon-sagemaker-examples vs llm-course](/compare/aws-amazon-sagemaker-examples-vs-mlabonne-llm-course.md)
- [amazon-sagemaker-examples vs MockingBird](/compare/aws-amazon-sagemaker-examples-vs-babysor-mockingbird.md)

## When NOT to use amazon-sagemaker-examples

- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Related alternatives hubs

- [LangChain alternatives](/tools/langchain-ai-langchain/alternatives.md)
- [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives.md)
- [Qdrant alternatives](/tools/qdrant-qdrant/alternatives.md)

## Common questions

### What are the best alternatives to amazon-sagemaker-examples?

Graph-backed alternatives to amazon-sagemaker-examples include ColossalAI, DeepSpeed, FastChat, jax, JeecgBoot. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort.

### How does GraphCanon rank amazon-sagemaker-examples alternatives?

Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort.

### When should I avoid amazon-sagemaker-examples?

Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is amazon-sagemaker-examples open source?

Yes. amazon-sagemaker-examples is an open-source project on GitHub under the Apache-2.0 license, with 10,971 stars.

### What is amazon-sagemaker-examples used for?

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

### What category is amazon-sagemaker-examples in?

amazon-sagemaker-examples is categorized under Inference & Serving, Model Training in the GraphCanon knowledge graph.

### How do amazon-sagemaker-examples alternatives compare head-to-head?

Each alternative has a neutral compare page against amazon-sagemaker-examples, for example [ColossalAI vs amazon-sagemaker-examples](/compare/aws-amazon-sagemaker-examples-vs-hpcaitech-colossalai), [DeepSpeed vs amazon-sagemaker-examples](/compare/aws-amazon-sagemaker-examples-vs-deepspeedai-deepspeed), [FastChat vs amazon-sagemaker-examples](/compare/aws-amazon-sagemaker-examples-vs-lm-sys-fastchat). Stats come from live GitHub metadata.

### Is there a machine-readable alternatives list?

Yes. The markdown twin at [amazon-sagemaker-examples alternatives](/tools/aws-amazon-sagemaker-examples/alternatives.md) lists direct alternatives and same-category tools with internal links to each tool markdown page.

### Where are other high-intent alternatives hubs?

Related P0 OSS-vs-OSS hubs: [LangChain alternatives](/tools/langchain-ai-langchain/alternatives), [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives), [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). Vector-database intent (including Pinecone-style queries) is covered at [Qdrant alternatives](/tools/qdrant-qdrant/alternatives).

### Where can I see maintenance and security signals for amazon-sagemaker-examples?

GraphCanon publishes a sourced trust report for amazon-sagemaker-examples at [amazon-sagemaker-examples trust report](/tools/aws-amazon-sagemaker-examples/trust) - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=aws-amazon-sagemaker-examples`](/api/graphcanon/graph?tool=aws-amazon-sagemaker-examples)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_