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SciTools/iris

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Python ◇ data-analysis BSD-3-Clause
★730STARS
⑂323FORKS
!278ISSUES
🏆#10,329GLOBAL RANK
🔥34DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

iris is iris is an open-source project written in Python: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), SciTools/iris has accumulated 730 GitHub stars and 323 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #10,329 globally. It is actively maintained with the latest commit recorded on Nov 7, 2026.”
Repository SciTools/iris ↗
Primary Category data analysis
Language & Stack Python
Software License BSD-3-Clause
Community Traction ★ 730 stars · ⑂ 323 forks · #10,329 globally
Maintenance ● Active (Last commit: Nov 7, 2026) · 278 open issues
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 iris actively maintained in 2026?
Verdict: Actively Maintained

Yes, iris is actively maintained. Continuous telemetry recorded the last code commit on Nov 7, 2026 (7 days ago). Supported by 730 stars and 323 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (278 open).

Commit Recency
Nov 7, 2026
7 days since last push
Issue Backlog
278 Open Issues
Active Community Feedback (278 open)
Community Backing
323 Forks
730 Stars Recorded
Software License
BSD-3-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for SciTools/iris
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Momentum

+4

STARS · LAST 30 DAYS

1

PER DAY

#1,461

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+4+4+90
Per day111
Forks gained+6+6+16

iris gained 4 stars in the last 30 days, about 1 a day, and now has 730. It is about 14 years old and has averaged roughly 52 stars a year. It ranks #1,461 among Python repositories and #10,329 across all languages on GitHubRepo.

Trending Record

iris has maintained a continuous presence across global trending indexes, peaking at #6165. Below is the 30-day activity profile:

💡 Overview

iris is an open-source project written in Python: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-analysis, earth-science, grib. 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 iris

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

iris 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 iris 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 BSD-3-Clause license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for iris.

3

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

4

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

👍 Strengths

Active community backing with 726 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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

SciTools/iris is currently ranked #10,329 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,320 jakezatecky/react-checkbox-tree JavaScript ★ 731 Compare ↗
#10,320 dotnet/arcade C# ★ 731 Compare ↗
#10,320 glojurelang/glojure Go ★ 731 Compare ↗
#10,320 invoicerr-app/invoicerr TypeScript ★ 731 Compare ↗
#10,320 thruwire/foreman Python ★ 731 Compare ↗
#10,329 SciTools/iris This Project Python ★ 730
#10,329 sofadesign/limonade PHP ★ 730 Compare ↗
#10,329 thread-pond/signature-pad JavaScript ★ 730 Compare ↗
#10,329 b23r0/Heroinn Rust ★ 730 Compare ↗
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Frequently Asked Questions

What does iris do? +

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Is iris actively maintained in 2026? +

Yes, iris is actively maintained. The latest code push was recorded on Nov 7, 2026 (7 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 730 stars and 278 open issues.

What language is iris written in? +

The primary language is Python. Topics include: data-analysis, earth-science, grib, iris, meteorology.

How many stars does iris have? +

iris has 730 stars and 323 forks on GitHub.

How does iris rank among GitHub repositories? +

With 730 stars, SciTools/iris is ranked #10,329 globally across all repositories tracked on GitHubRepo and #1,461 among Python projects.

What license is iris distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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