Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.
Open source
24 alternativesSagify
Sagify describes its project as a way to work with large language models and machine learning more easily.
About Sagify
Sagify is an open-source project built to simplify work with large language models and machine learning workflows, with a core focus on reducing the overhead of managing infrastructure on AWS SageMaker. It provides a streamlined interface for users to build, deploy, and manage ML models without needing to handle underlying cloud infrastructure details.
The tool includes a modular LLM Gateway that offers a single, unified API to access both proprietary and open-source large language models for tasks including chat completions, image generation, and text embeddings. It also supports no-code deployment of pre-built foundation models like Stable Diffusion directly to AWS SageMaker, with command-line tools to list, filter, and interact with supported LLMs. Sagify is suited for machine learning developers, data scientists, and engineers who want to accelerate ML and LLM integration projects while minimizing time spent on infrastructure configuration and management.
Key features
- Simplified interface for AWS SageMaker ML workflow management
- Modular LLM Gateway for unified access to LLMs
- No-code deployment for foundation models on AWS
- Support for OpenAI proprietary LLMs (chat, image, embeddings)
- Support for open-source LLMs for multiple use cases
- Command-line tools to list and filter available LLM models
Best for: It benefits machine learning developers and practitioners looking to simplify AWS SageMaker workflow management and integrate large language models with minimal infrastructure overhead.
Good for
- Open-source, allowing code modification and community contributions
- Reduces time spent managing AWS SageMaker ML infrastructure
- Unified access to both proprietary and open-source LLMs
- Offers no-code deployment options for pre-trained foundation models
Watch out for
- Requires Python 3.7–3.11, Docker, and pre-configured AWS CLI
- Tied exclusively to AWS SageMaker, so not suitable for non-AWS cloud users
- LLM and SageMaker usage may incur associated cloud service costs
Sagify at a glance
- Website
- github.com/Kenza-AI/sagify
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Sagify alternatives
Tools and sites you could use instead, ranked by how closely they match.
FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.
Open source
24 alternatives
This Docker-based starter kit provides a runtime for machine learning work in Jupyter notebooks.
Open source
24 alternatives
The Feast repository describes an open source feature store for AI and machine learning projects.
Open source
24 alternativesThe Hydrosphere repository describes an MLOps platform for machine learning operations.
Open source
24 alternatives
OptiMate is a collection of libraries for optimizing AI model performance; the repository is marked as a legacy project.
Open source
24 alternativesPopular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Guild AIguild.aiFlow AIflow-ai.comsystemprompt.iosystemprompt.ioCoreWeavecoreweave.comKili Technologykili-technology.comAPI docsdocs.x.ai
Sagify FAQ
What is Sagify?
Sagify is an open-source tool that simplifies machine learning workflow management on AWS SageMaker and provides unified access to large language models for various use cases.
Is Sagify free to use?
Sagify itself is open-source and free to install, but usage of AWS SageMaker and third-party LLM providers may incur associated costs.
What LLMs does Sagify support?
Sagify supports OpenAI's proprietary LLMs (including GPT and DALL-E models) and a range of open-source LLMs for chat, image generation, and embeddings, accessible via its LLM Gateway.
What are the prerequisites for using Sagify?
To use Sagify, you need Python 3.7 through 3.11, a running Docker installation, and a pre-configured AWS CLI linked to your AWS account.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.