Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure. Learn more →
Magentic Alternatives
Similar projects and alternatives to magentic
-
-
Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
-
ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
-
LocalAI
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference
-
-
-
litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
-
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
-
-
-
-
-
-
-
-
-
-
-
openai-functools
Discontinued openai-functools: Simplified Generation of OpenAI Functions JSON Metadata for OpenAI Function Calling
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better magentic alternative or higher similarity.
magentic discussion
magentic reviews and mentions
Posts with mentions or reviews of magentic.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-06-30.
-
Using LLMs in 3 lines of Python
#!/usr/bin/env -S uv run --script # /// script # requires-python = ">=3.10" # dependencies = [ # "fire", # "magentic", # "pydantic", # ] # /// from fire import Fire from magentic import chatprompt, AssistantMessage, SystemMessage, UserMessage from pydantic import BaseModel # this is a modified version of magentic's example chatprompt code # https://magentic.dev/#chatprompt class Quote(BaseModel): quote: str character: str @chatprompt( SystemMessage("You are a movie buff."), UserMessage("What is your favorite quote from Harry Potter?"), AssistantMessage( Quote( quote="It does not do to dwell on dreams and forget to live.", character="Albus Dumbledore", ) ), UserMessage("What is your favorite quote from {movie}?"), ) def get_movie_quote(movie: str) -> Quote: ... if __name__=="__main__": Fire(get_movie_quote)
-
Lessons from building a small-scale AI application
- The "Django" level: additionally handle how data is indexed for RAG, standard patterns of connecting the pieces, possibly GUI, support for plugins.
It seems langchain and llamaindex are aiming to be the latter, and I'm building https://magentic.dev to be the former. I'd be interested to get your take on whether these abstractions would allow you stray from the narrow path while still being helpful!
-
Taming LLMs – A Practical Guide to LLM Pitfalls with Open Source Software
If you are using Python, check out the package I've been building, magentic https://github.com/jackmpcollins/magentic It supports structured outputs and streaming, and aims to avoid making unnecessary abstractions (but might require some more understanding of LLM patterns as a result).
Also recently released is pydantic-ai, which is also based around pydantic / structured outputs, though works at level of "agents". https://github.com/pydantic/pydantic-ai
-
DSPy – Programming–not prompting–LMs
I'm building magentic for use cases like this!
https://github.com/jackmpcollins/magentic
It's based on pydantic and aims to make writing LLM queries as easy/compact as possible by using type annotations, including for structured outputs and streaming. If you use it please reach out!
-
LangChain Is a Black Box
I haven't used LangGraph myself, but the latest magentic release is compatible with it if you'd like to check out the examples here https://github.com/jackmpcollins/magentic/issues/287
-
I'm puzzled how anyone trusts ChatGPT for code
I'm building magentic https://github.com/jackmpcollins/magentic which has basically this syntax, though it queries the LLM to generate the answer rather than writing + running code.
```
-
Building a local AI smart Home Assistant
See Magentic for something similar: https://github.com/jackmpcollins/magentic
- GitHub - jackmpcollins/magentic: Seamlessly integrate LLMs as Python functions
-
Show HN: Magentic – Use LLMs as simple Python functions
Update: I've added the ability to add chat messages using a new decorator `@chatprompt` in v0.7.0. See https://github.com/jackmpcollins/magentic/releases/tag/v0.7....
-
A note from our sponsor - Stream
getstream.io | 20 Jul 2025
Stats
Basic magentic repo stats
16
2,338
8.3
29 days ago
jackmpcollins/magentic is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of magentic is Python.
Sponsored
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io