8 Best OpenAI Python Alternatives in 2026 (Open Source)
OpenAI Python — The official Python library for the OpenAI API.
Short answer
- Closest match to OpenAI Python: OpenLM.
- Most actively developed: LiteLLM (13,191 commits in the last 90 days).
- Fastest growing: LiteLLM (+2,991 GitHub stars in the last 30 days).
- No commit in 6+ months: OpenLM, Text Generation Inference and Astra Assistant API.
These 8 open-source tools do the same job. They are ordered by how closely they match OpenAI Python, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| OpenAI Python(original) | 31.7k | +221 | 2026-10-02 |
| OpenLM | 368 | 0 | 2023-05-19 |
| LiteLLM | 60.0k | +2,991 | 2026-10-02 |
| Go OpenAI | 10.8k | +28 | 2026-09-29 |
| OpenLLM | 12.6k | +53 | 2026-05-29 |
| Ollama | 182.1k | +2,499 | 2026-10-02 |
| Text Generation Inference | 10.9k | +11 | 2026-03-21 |
| BentoML | 8.9k | +52 | 2026-09-07 |
| Astra Assistant API | 207 | 0 | 2025-08-18 |
1. OpenLM
OpenAI-compatible Python client that can call any LLM
What sets it apart: vs LiteLLM / AI SDK: minimalist OpenAI-compatible drop-in replacement — swap openlm for openai in imports and instantly access HuggingFace and Cohere with zero API changes
Best for: Switching between LLM providers without code changes; Multi-model comparison using OpenAI-compatible interface; Lightweight provider abstraction for Python projects
2. LiteLLM
Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface
What sets it apart: Unlike OpenRouter (hosted-only routing), LiteLLM is self-hostable and provides a full gateway with per-user spend tracking, virtual keys, and A2A/MCP protocol support — making it the enterprise LLM traffic controller
Best for: ML platform teams managing multi-provider LLM access with centralized cost tracking and auth; Developers switching between LLM providers without changing application code
3. Go OpenAI
OpenAI ChatGPT, GPT-5, GPT-Image-1, Whisper API clients for Go
What sets it apart: vs official OpenAI SDKs: the most popular Go client for OpenAI — comprehensive coverage of all API endpoints (chat, images, audio, embeddings) with idiomatic Go interfaces and streaming support
Best for: Go developers needing OpenAI API access in their applications; Backend services requiring typed OpenAI client in Go; Streaming chat implementations in Go-based systems
4. OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
What sets it apart: Unlike Ollama which focuses on local/desktop usage, OpenLLM bridges local development and cloud production through unified BentoML tooling — providing the same CLI workflow from laptop to Kubernetes cluster with OpenAI API compatibility
Best for: Teams wanting the fastest path from model selection to OpenAI-compatible API endpoint; DevOps engineers deploying open-source LLMs to production with Docker/Kubernetes
5. Ollama
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
What sets it apart: Unlike vLLM (production server focus) or LM Studio (GUI-first), Ollama is the simplest CLI-first tool for running local LLMs with one-command setup, an OpenAI-compatible API, and the largest ecosystem of 100+ community integrations.
Best for: Developers who want to run open-source LLMs locally with zero configuration; Privacy-sensitive use cases requiring fully offline LLM inference
6. Text Generation Inference
Large Language Model Text Generation Inference
What sets it apart: Battle-tested in production at Hugging Face (powers HuggingChat and Inference API) — now in maintenance mode with recommendation to use vLLM/SGLang, but remains the reference implementation for optimized LLM serving with the broadest hardware support
Best for: Production LLM serving with HuggingFace models at scale; Teams needing OpenAI-compatible API for open-source models
7. BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
What sets it apart: Unified model serving framework with Bento packaging — turn any model into a production API with automatic Docker, adaptive batching, and multi-model orchestration
Best for: Teams deploying ML/AI models as production APIs; Applications needing dynamic batching and GPU optimization; Multi-model inference pipelines (LLM + embedding + reranker)
8. Astra Assistant API
Drop in replacement for the OpenAI Assistants API
What sets it apart: Drop-in OpenAI Assistants API v2 replacement supporting 30+ LLM providers via LiteLLM, backed by AstraDB vector storage
Best for: openai-assistant-api-with-alternative-llms; multi-provider-assistant-apps; astradb-users
FAQ
- What are the best alternatives to OpenAI Python?
- The closest open-source alternatives to OpenAI Python are OpenLM, LiteLLM and Go OpenAI, followed by OpenLLM, Ollama and Text Generation Inference. They are ranked by how closely they match what OpenAI Python does.
- Which OpenAI Python alternative is the most popular?
- Ollama has the most GitHub stars among OpenAI Python alternatives, with 182,051 stars.
- Which OpenAI Python alternative is the most actively maintained?
- By recent activity, LiteLLM (13,191 commits in the last 90 days) is the most actively developed alternative.