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roboflow/trackers

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

Python ◇ bot-sort Apache-2.0
★3.9KSTARS
⑂416FORKS
!26ISSUES
🏆#1,832GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+97

STARS · LAST 30 DAYS

3

PER DAY

#281

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+97+270
Per day333
Forks gained+2+8+21

trackers gained 97 stars in the last 30 days, about 3 a day, and now has 3.9K. It is about 1 year old and has averaged roughly 3.9K stars a year. It ranks #281 among Python repositories and #1,832 across all languages on GitHubRepo.

Trending Record

trackers has maintained a continuous presence across global trending indexes, peaking at #2935. Below is the 30-day activity profile:

💡 Overview

trackers is an open-source project written in Python: Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

Engineered for speed, consistency, and developer ease, it solves common hurdles in bot-sort, bytetrack, dancetrack. 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 trackers

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

trackers 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

Production System Integration

Embed trackers into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install trackers using your package manager: `pip install trackers`

2

Initialize your project workspace or configuration file for trackers.

3

Import trackers into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 3,882 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

⇄ Alternatives & Direct Competitors

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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

roboflow/trackers is currently ranked #1,832 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,827 alecthomas/participle Go ★ 3.9K Compare ↗
#1,828 ryanb/ruby-warrior Ruby ★ 3.9K Compare ↗
#1,829 duolahypercho/codex-router JavaScript ★ 3.9K Compare ↗
#1,830 openstreetmap/iD JavaScript ★ 3.9K Compare ↗
#1,831 NVIDIA/k8s-device-plugin Go ★ 3.9K Compare ↗
#1,832 roboflow/trackers This Project Python ★ 3.9K
#1,832 jellyfin/jellyfin-web JavaScript ★ 3.9K Compare ↗
#1,834 allenai/open-instruct Python ★ 3.9K Compare ↗
#1,835 synthetic-sciences/openscience TypeScript ★ 3.9K Compare ↗
#1,835 kagent-dev/kagent Go ★ 3.9K Compare ↗
#1,837 securo-finance/securo Python ★ 3.9K Compare ↗

Frequently Asked Questions

What does trackers do? +

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.

What language is trackers written in? +

The primary language is Python. Topics include: bot-sort, bytetrack, dancetrack, mot17, multi-object-tracking.

Is trackers actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 26 open issues being tracked.

How many stars does trackers have? +

trackers has 3,882 stars and 416 forks on GitHub.

How does trackers rank among GitHub repositories? +

With 3,882 stars, roboflow/trackers is ranked #1,832 globally across all repositories tracked on GitHubRepo and #281 among Python projects.

What license is trackers distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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