TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
⚡ Executive Summary & Quick Facts
Authoritative Sourcetorchgeo is torchgeo is an open-source project written in Python: TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), torchgeo/torchgeo has accumulated 4,208 GitHub stars and 599 forks. It is written in Python, licensed under MIT, and ranks #2,895 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
| Repository | torchgeo/torchgeo ↗ |
|---|---|
| Primary Category | computer vision |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 4.2K stars · ⑂ 599 forks · #2,895 globally |
| Maintenance | ● Active (Last commit: Oct 20, 2026) · 226 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: 97/100 · Grade A+Yes, torchgeo is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (10 days ago). Supported by 4,208 stars and 599 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+105
STARS · LAST 30 DAYS
4
PER DAY
#438
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +105 | +360 |
| Per day | 1 | 4 | 4 |
| Forks gained | +0 | +12 | +30 |
torchgeo gained 105 stars in the last 30 days, about 4 a day, and now has 4.2K. It is about 5 years old and has averaged roughly 842 stars a year. It ranks #438 among Python repositories and #2,895 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#6060
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
torchgeo has maintained a continuous presence across global trending indexes, peaking at #6060. Below is the 30-day activity profile:
💡 Overview
torchgeo is an open-source project written in Python: TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data.
Engineered for speed, consistency, and developer ease, it solves common hurdles in computer-vision, datasets, deep-learning. 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 torchgeo⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
torchgeo 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 torchgeo 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
Install torchgeo using your package manager: `pip install torchgeo`
Initialize your project workspace or configuration file for torchgeo.
Import torchgeo into your codebase or invoke it directly from your terminal.
Execute your test suite or run `torchgeo --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
torchgeo/torchgeo is currently ranked #2,895 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,890 | LavaGang/MelonLoader | C# | ★ 4.2K | Compare ↗ |
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| #2,894 | benpickles/peity | HTML | ★ 4.2K | Compare ↗ |
| #2,895 | torchgeo/torchgeo This Project | Python | ★ 4.2K | |
| #2,896 | RawTherapee/RawTherapee | C++ | ★ 4.2K | Compare ↗ |
| #2,897 | solvespace/solvespace | C++ | ★ 4.2K | Compare ↗ |
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Frequently Asked Questions
What does torchgeo do? +
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Is torchgeo actively maintained in 2026? +
Yes, torchgeo is actively maintained. The latest code push was recorded on Oct 20, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 4,208 stars and 226 open issues.
What language is torchgeo written in? +
The primary language is Python. Topics include: computer-vision, datasets, deep-learning, earth-observation, geospatial.
How many stars does torchgeo have? +
torchgeo has 4,208 stars and 599 forks on GitHub.
How does torchgeo rank among GitHub repositories? +
With 4,208 stars, torchgeo/torchgeo is ranked #2,895 globally across all repositories tracked on GitHubRepo and #438 among Python projects.
What license is torchgeo distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
