Next-generation camera-modeling toolkit
⚡ Executive Summary & Quick Facts
Authoritative Sourcemrcal is mrcal is an open-source project written in Python: Next-generation camera-modeling toolkit..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), dkogan/mrcal has accumulated 332 GitHub stars and 35 forks. It is written in Python, licensed under Apache-2.0, and ranks #15,360 globally. It is actively maintained with the latest commit recorded on Oct 25, 2026.”
| Repository | dkogan/mrcal ↗ |
|---|---|
| Primary Category | camera calibration |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 332 stars · ⑂ 35 forks · #15,360 globally |
| Maintenance | ● Active (Last commit: Oct 25, 2026) · 8 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: 88/100 · Grade AYes, mrcal is actively maintained. Continuous telemetry recorded the last code commit on Oct 25, 2026 (19 days ago). Supported by 332 stars and 35 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (19 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,083
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
mrcal gained 10 stars in the last 30 days, about 1 a day, and now has 332. It is about 6 years old and has averaged roughly 55 stars a year. It ranks #2,083 among Python repositories and #15,360 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#12569
BEST RANK
Oct 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mrcal has maintained a continuous presence across global trending indexes, peaking at #12569. Below is the 30-day activity profile:
💡 Overview
mrcal is an open-source project written in Python: Next-generation camera-modeling toolkit.
Engineered for speed, consistency, and developer ease, it solves common hurdles in camera-calibration, lens-modeling, structure-from-motion. 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 mrcal⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mrcal 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mrcal.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mrcal using your package manager: `pip install mrcal`
Initialize your project workspace or configuration file for mrcal.
Import mrcal into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mrcal --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
dkogan/mrcal is currently ranked #15,360 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,339 | intel/tsffs | Rust | ★ 333 | Compare ↗ |
| #15,339 | hankmorgan/UnderworldGodot | C# | ★ 333 | Compare ↗ |
| #15,339 | cnoe-io/idpbuilder | Go | ★ 333 | Compare ↗ |
| #15,339 | pwwang/scplotter | HTML | ★ 333 | Compare ↗ |
| #15,339 | Jeidoban/Ironsmith | Swift | ★ 333 | Compare ↗ |
| #15,360 | dkogan/mrcal This Project | Python | ★ 332 | |
| #15,360 | sous-chefs/ruby_rbenv | Ruby | ★ 332 | Compare ↗ |
| #15,360 | novoid/filetags | Python | ★ 332 | Compare ↗ |
| #15,360 | oripa/oripa | Java | ★ 332 | Compare ↗ |
| #15,360 | cfpb/consumerfinance.gov | Python | ★ 332 | Compare ↗ |
| #15,360 | ioBroker/ioBroker.javascript | JavaScript | ★ 332 | Compare ↗ |
Frequently Asked Questions
What does mrcal do? +
Next-generation camera-modeling toolkit
Is mrcal actively maintained in 2026? +
Yes, mrcal is actively maintained. The latest code push was recorded on Oct 25, 2026 (19 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 332 stars and 8 open issues.
What language is mrcal written in? +
The primary language is Python. Topics include: camera-calibration, lens-modeling, structure-from-motion, uncertainty-quantification.
How many stars does mrcal have? +
mrcal has 332 stars and 35 forks on GitHub.
How does mrcal rank among GitHub repositories? +
With 332 stars, dkogan/mrcal is ranked #15,360 globally across all repositories tracked on GitHubRepo and #2,083 among Python projects.
What license is mrcal distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
