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segmentio/analytics-python

The hassle-free way to integrate analytics into any python application.

Python ◇ developer-tools MIT
★254STARS
⑂153FORKS
!9ISSUES
🏆#17,547GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

analytics-python is analytics-python is an open-source project written in Python: The hassle-free way to integrate analytics into any python application. .. It provides a free, self-hosted open-source alternative to Segment.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), segmentio/analytics-python has accumulated 254 GitHub stars and 153 forks. It is written in Python, licensed under MIT, and ranks #17,547 globally. It is actively maintained with the latest commit recorded on Sep 29, 2026.”
Repository segmentio/analytics-python ↗
Primary Category developer tools
Language & Stack Python
Software License MIT
Community Traction ★ 254 stars · ⑂ 153 forks · #17,547 globally
Maintenance ● Active (Last commit: Sep 29, 2026) · 9 open issues
Replaces SaaS Open Source Segment Alternative ($120+/month based on Monthly Tracked Users) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is analytics-python actively maintained in 2026?
Verdict: Actively Maintained

Yes, analytics-python is actively maintained. Continuous telemetry recorded the last code commit on Sep 29, 2026 (45 days ago). Supported by 254 stars and 153 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (45 days ago) and healthy issue cadence.

Commit Recency
Sep 29, 2026
45 days since last push
Issue Backlog
9 Open Issues
Healthy Issue Cadence
Community Backing
153 Forks
254 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for segmentio/analytics-python
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#2,344

MOST-STARRED Python

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

analytics-python gained 0 stars in the last 30 days, about 1 a day, and now has 254. It is about 14 years old and has averaged roughly 18 stars a year. It ranks #2,344 among Python repositories and #17,547 across all languages on GitHubRepo.

Trending Record

analytics-python has maintained a continuous presence across global trending indexes, peaking at #4678. Below is the 30-day activity profile:

💡 Overview

analytics-python is an open-source project written in Python: The hassle-free way to integrate analytics into any python application. .

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 analytics-python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

analytics-python 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 analytics-python 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 MIT license.

🚀 Getting Started

1

Install analytics-python using your package manager: `pip install analytics-python`

2

Initialize your project workspace or configuration file for analytics-python.

3

Import analytics-python into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 254 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.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Segment Replaces proprietary subscriptions ($120+/month based on Monthly Tracked Users) with self-hosted freedom.
Explore all Segment alternatives →
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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

segmentio/analytics-python is currently ranked #17,547 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,513 inbjo/MirrorProxy Rust ★ 255 Compare ↗
#17,513 aigc3d/Glob3R Python ★ 255 Compare ↗
#17,513 pullboard-dev/pullboard JavaScript ★ 255 Compare ↗
#17,513 swiftvm-app/swiftvm Swift ★ 255 Compare ↗
#17,513 GNSB/UFC-3-PS4-PORT-LINUX-WINDOWS C++ ★ 255 Compare ↗
#17,547 segmentio/analytics-python This Project Python ★ 254
#17,547 brezerk/q4wine C++ ★ 254 Compare ↗
#17,547 breily/juno Python ★ 254 Compare ↗
#17,547 kangguru/rack-google-analytics Ruby ★ 254 Compare ↗
#17,547 swganh/mmoserver C++ ★ 254 Compare ↗
#17,547 getrailo/railo Java ★ 254 Compare ↗
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Frequently Asked Questions

What does analytics-python do? +

The hassle-free way to integrate analytics into any python application.

Is analytics-python actively maintained in 2026? +

Yes, analytics-python is actively maintained. The latest code push was recorded on Sep 29, 2026 (45 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 254 stars and 9 open issues.

What language is analytics-python written in? +

The primary language is Python. Topics include: software.

How many stars does analytics-python have? +

analytics-python has 254 stars and 153 forks on GitHub.

How does analytics-python rank among GitHub repositories? +

With 254 stars, segmentio/analytics-python is ranked #17,547 globally across all repositories tracked on GitHubRepo and #2,344 among Python projects.

What license is analytics-python distributed under? +

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

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