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astro-stack/django-orbit

AI agent-native observability and debugging for Django.

Python ◇ ai MIT
★180STARS
⑂7FORKS
!0ISSUES
🏆#14,021GLOBAL RANK
🔥17DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,798

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

django-orbit gained 10 stars in the last 30 days, about 1 a day, and now has 180. It is about 1 year old and has averaged roughly 180 stars a year. It ranks #1,798 among Python repositories and #14,021 across all languages on GitHubRepo.

Trending Record

django-orbit has maintained a continuous presence across global trending indexes, peaking at #8187. Below is the 30-day activity profile:

💡 Overview

django-orbit is an open-source project written in Python: AI agent-native observability and debugging for Django.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, debugging. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install django-orbit

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

django-orbit 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 django-orbit.

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

1

Install django-orbit using your package manager: `pip install django-orbit`

2

Initialize your project workspace or configuration file for django-orbit.

3

Import django-orbit into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `django-orbit --help` to verify successful setup.

👍 Strengths

Active community backing with 180 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

astro-stack/django-orbit is currently ranked #14,021 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#13,979 saltnpepper97/halley Rust ★ 181 Compare ↗
#13,979 scastiel/kado Swift ★ 181 Compare ↗
#13,979 Bino5150/lumina Python ★ 181 Compare ↗
#13,979 godot-fun/gai GDScript ★ 181 Compare ↗
#13,979 edgehero/pi-dispatch JavaScript ★ 181 Compare ↗
#14,021 astro-stack/django-orbit This Project Python ★ 180
#14,021 authorNari/minigc C ★ 180 Compare ↗
#14,021 twilson63/html2haml CSS ★ 180 Compare ↗
#14,021 gf3/IRC-js JavaScript ★ 180 Compare ↗
#14,021 alphagov/smart-answers Ruby ★ 180 Compare ↗
#14,021 activemerchant/payment_icons Ruby ★ 180 Compare ↗
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Frequently Asked Questions

What does django-orbit do? +

AI agent-native observability and debugging for Django.

What language is django-orbit written in? +

The primary language is Python. Topics include: ai, ai-agents, debugging, debugging-tool, django.

Is django-orbit actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 0 open issues being tracked.

How many stars does django-orbit have? +

django-orbit has 180 stars and 7 forks on GitHub.

How does django-orbit rank among GitHub repositories? +

With 180 stars, astro-stack/django-orbit is ranked #14,021 globally across all repositories tracked on GitHubRepo and #1,798 among Python projects.

What license is django-orbit distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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