splware/esproc

esProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 14th, 2026
Created on November 9th, 2021
Open Issues & Pull Requests: 52 (+0)
GitHub issues: Enabled
Number of forks: 364
Total Stargazers: 4,683 (+0)
Total Subscribers: 61 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.3 days
Mean response time: 89.2 days
90th percentile: 272.6 days
Tracked items: 11

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Open issues: 10
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 493 days
Stale 30+ days: 9
Stale 90+ days: 8

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Closed in 7 days: 0
Comments in 7 days: 0
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Detailed Description

esProc SPL is a JVM-based programming language designed for structured data computation and analysis.

The tool addresses the challenge of performing complex data operations on structured datasets by providing a language built specifically for this purpose. Rather than relying on SQL or general-purpose programming languages, esProc SPL offers syntax and semantics tailored to data transformation, filtering, aggregation, and analysis tasks. It can function both as a standalone data analysis tool and as an embedded computing engine within larger applications, allowing developers to execute sophisticated data operations directly within their Java-based systems.

Developers should consider esProc SPL when working with structured data processing tasks that benefit from a specialized language rather than SQL or imperative code. The tool suits projects involving complex data transformations, multi-step analytical workflows, or situations where embedding data computation logic directly into a JVM application is advantageous. It is particularly relevant for teams already working within the Java ecosystem who want to avoid context-switching between different query languages and application code.

The project maintains active development with regular updates to its core functionality. The maintainers engage with the community through multiple channels including a dedicated community platform, Discord server, Reddit community, and an active blog. The tool receives ongoing refinement and feature additions as indicated by continuous repository activity.