mozilla-ai/otari
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
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+13
STARS · LAST 30 DAYS
1
PER DAY
#943
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +13 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
otari gained 13 stars in the last 30 days, about 1 a day, and now has 515. It is about 1 year old and has averaged roughly 515 stars a year. It ranks #943 among Python repositories and #7,285 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#7468
BEST RANK
Oct 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
otari has maintained a continuous presence across global trending indexes, peaking at #7468. Below is the 30-day activity profile:
💡 Overview
otari is an open-source project written in Python: Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-gateway, anthropic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install otari⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
otari coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with otari.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install otari using your package manager: `pip install otari`
Initialize your project workspace or configuration file for otari.
Import otari into your codebase or invoke it directly from your terminal.
Execute your test suite or run `otari --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
mozilla-ai/otari is currently ranked #7,285 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,278 | aws-amplify/amplify-swift | Swift | ★ 516 | Compare ↗ |
| #7,278 | ansys/pyfluent | Python | ★ 516 | Compare ↗ |
| #7,278 | frappe/gameplan | Python | ★ 516 | Compare ↗ |
| #7,278 | clawdotnet/openclaw.net | C# | ★ 516 | Compare ↗ |
| #7,278 | jerryjliu/docjev | Python | ★ 516 | Compare ↗ |
| #7,285 | mozilla-ai/otari This Project | Python | ★ 515 | |
| #7,285 | judofyr/temple | Ruby | ★ 515 | Compare ↗ |
| #7,285 | googleapis/google-auth-library-ruby | Ruby | ★ 515 | Compare ↗ |
| #7,285 | moreSwift/swift-bundler | Swift | ★ 515 | Compare ↗ |
| #7,285 | microsoft/dev-tunnels | C# | ★ 515 | Compare ↗ |
| #7,285 | scikit-build/scikit-build-core | Python | ★ 515 | Compare ↗ |
Frequently Asked Questions
What does otari do? +
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
What language is otari written in? +
The primary language is Python. Topics include: ai, ai-gateway, anthropic, api-key-management, budgets.
Is otari actively maintained? +
Yes, the last recorded push was on Oct 9, 2026 with 338 open issues being tracked.
How many stars does otari have? +
otari has 515 stars and 63 forks on GitHub.
How does otari rank among GitHub repositories? +
With 515 stars, mozilla-ai/otari is ranked #7,285 globally across all repositories tracked on GitHubRepo and #943 among Python projects.
What license is otari distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
