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geolens-io/geolens

Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.

Python ◇ cloud-optimized-geotiff Apache-2.0
★261STARS
⑂35FORKS
!23ISSUES
🏆#4,705GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for geolens-io/geolens
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#548

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

geolens gained 10 stars in the last 30 days, about 1 a day, and now has 261. It is about 1 year old and has averaged roughly 261 stars a year. It ranks #548 among Python repositories and #4,705 across all languages on GitHubRepo.

Trending Record

geolens has maintained a continuous presence across global trending indexes, peaking at #791. Below is the 30-day activity profile:

💡 Overview

geolens is an open-source project written in Python: Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cloud-optimized-geotiff, data-catalog, docker. 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 geolens

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

geolens 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

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for geolens.

3

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

4

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

👍 Strengths

Active community backing with 257 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.

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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

geolens-io/geolens is currently ranked #4,705 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,696 jiro4989/textimg Go ★ 262 Compare ↗
#4,696 slackhq/astra Java ★ 262 Compare ↗
#4,696 purelogiccode/SimpleLauncher C# ★ 262 Compare ↗
#4,696 benbalter/word-to-markdown-js TypeScript ★ 262 Compare ↗
#4,696 vishalsachdev/canvas-mcp Python ★ 262 Compare ↗
#4,705 geolens-io/geolens This Project Python ★ 261
#4,705 staticmatic/staticmatic Ruby ★ 261 Compare ↗
#4,705 Homebrew/ruby-macho Ruby ★ 261 Compare ↗
#4,705 sidorares/react-x11 JavaScript ★ 261 Compare ↗
#4,705 michaelfaith/eslint-plugin-package-json TypeScript ★ 261 Compare ↗
#4,705 DIGI-UW/OpenELIS-Global-2 Java ★ 261 Compare ↗

Frequently Asked Questions

What does geolens do? +

Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.

What language is geolens written in? +

The primary language is Python. Topics include: cloud-optimized-geotiff, data-catalog, docker, fastapi, geojson.

Is geolens actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 23 open issues being tracked.

How many stars does geolens have? +

geolens has 261 stars and 35 forks on GitHub.

How does geolens rank among GitHub repositories? +

With 261 stars, geolens-io/geolens is ranked #4,705 globally across all repositories tracked on GitHubRepo and #548 among Python projects.

What license is geolens distributed under? +

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

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