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casact/chainladder-python

Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

Python ◇ actuarial MPL-2.0
★282STARS
⑂117FORKS
!158ISSUES
🏆#7,063GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#866

MOST-STARRED Python

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

chainladder-python gained 10 stars in the last 30 days, about 1 a day, and now has 282. It is about 9 years old and has averaged roughly 31 stars a year. It ranks #866 among Python repositories and #7,063 across all languages on GitHubRepo.

Trending Record

chainladder-python has maintained a continuous presence across global trending indexes, peaking at #6708. Below is the 30-day activity profile:

💡 Overview

chainladder-python is an open-source project written in Python: Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in actuarial, actuary, chainladder. 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 chainladder-python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

chainladder-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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with chainladder-python.

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

1

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

2

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

3

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

4

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

👍 Strengths

Active community backing with 282 GitHub stars and verified adoption.
Permissive open-source distribution under the MPL-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

casact/chainladder-python is currently ranked #7,063 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#7,063 casact/chainladder-python This Project Python ★ 282
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Frequently Asked Questions

What does chainladder-python do? +

Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

What language is chainladder-python written in? +

The primary language is Python. Topics include: actuarial, actuary, chainladder, estimators, pandas.

Is chainladder-python actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 158 open issues being tracked.

How many stars does chainladder-python have? +

chainladder-python has 282 stars and 117 forks on GitHub.

How does chainladder-python rank among GitHub repositories? +

With 282 stars, casact/chainladder-python is ranked #7,063 globally across all repositories tracked on GitHubRepo and #866 among Python projects.

What license is chainladder-python distributed under? +

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

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