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SparkViewEngine
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SparkViewEngine/spark

Spark is a view engine for ASP.NET MVC and Castle Project MonoRail frameworks. The idea is to allow the html to dominate the flow and any code to fit seamlessly.

C# ◇ developer-tools Apache-2.0
★255STARS
⑂84FORKS
!8ISSUES
🏆#4,774GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for SparkViewEngine/spark
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#317

MOST-STARRED C#

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

spark gained 10 stars in the last 30 days, about 1 a day, and now has 255. It is about 18 years old and has averaged roughly 14 stars a year. It ranks #317 among C# repositories and #4,774 across all languages on GitHubRepo.

Trending Record

spark has maintained a continuous presence across global trending indexes, peaking at #3994. Below is the 30-day activity profile:

💡 Overview

spark is an open-source project written in C#: Spark is a view engine for ASP.NET MVC and Castle Project MonoRail frameworks. The idea is to allow the html to dominate the flow and any code to fit seamlessly.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C#. 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 C# 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
$ git clone https://github.com/SparkViewEngine/spark.git
cd spark

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C# environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

spark coordinates its core functionality through a modular C# 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 spark into C# 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 Apache-2.0 license.

🚀 Getting Started

1

Install spark using your package manager: `git clone https://github.com/SparkViewEngine/spark.git`

2

Initialize your project workspace or configuration file for spark.

3

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

4

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

👍 Strengths

Active community backing with 255 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C# 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 C# 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 C#, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

SparkViewEngine/spark is currently ranked #4,774 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,767 socnetv/app C++ ★ 256 Compare ↗
#4,767 egramtel/tdsharp C# ★ 256 Compare ↗
#4,767 pop-os/cosmic-settings Rust ★ 256 Compare ↗
#4,767 eden-emulator/mirror C++ ★ 256 Compare ↗
#4,767 IvanMurzak/Godot-MCP C# ★ 256 Compare ↗
#4,774 SparkViewEngine/spark This Project C# ★ 255
#4,774 breily/juno Python ★ 255 Compare ↗
#4,774 auxesis/cucumber-nagios Ruby ★ 255 Compare ↗
#4,774 fcrepo/fcrepo Java ★ 255 Compare ↗
#4,774 hzqst/MetaHookSv C++ ★ 255 Compare ↗
#4,774 timschmidt/csgrs Rust ★ 255 Compare ↗

Frequently Asked Questions

What does spark do? +

Spark is a view engine for ASP.NET MVC and Castle Project MonoRail frameworks. The idea is to allow the html to dominate the flow and any code to fit seamlessly.

What language is spark written in? +

The primary language is C#. Topics include: software.

Is spark actively maintained? +

Yes, the last recorded push was on Sep 11, 2025 with 8 open issues being tracked.

How many stars does spark have? +

spark has 255 stars and 84 forks on GitHub.

How does spark rank among GitHub repositories? +

With 255 stars, SparkViewEngine/spark is ranked #4,774 globally across all repositories tracked on GitHubRepo and #317 among C# projects.

What license is spark distributed under? +

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

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