# 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.

Repository: https://github.com/SPLWare/esProc
Canonical: https://ross.abutalabs.com/products/esproc
Homepage: http://doc.esproc.com/esproc/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: esproc, database, sql, java, dataset, cluster-computing
Last push: 2026-08-26T14:44:14+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 1758, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4684, forks 364 (observed 2026-08-28T04:08:56.954179+00:00)

## What it is
esProc SPL is a JVM-based scripting language for structured data computation, usable as a standalone data analysis tool or embedded computing engine in Java applications. It supports SQL-like queries, external-memory cursor processing, heterogeneous data sources (Excel, JSON, XML, databases), and cluster computing.

## Use cases
- process csv and excel files with structured data computations
- replace complex multi-step SQL with simpler SPL scripts
- embed a data computation engine in a Java application via JDBC
- perform ETL on heterogeneous data sources
- run large dataset aggregations that exceed memory using cursors
- execute parallel and cluster computations over data files

## When to choose
- you need agile structured-data computation beyond what SQL expresses easily
- you want a JVM-embeddable data processing engine
- you process files (txt/csv/xls) and databases in one scripting environment

## When to avoid
- your team is strictly SQL/Python-only and unwilling to learn a niche language
- you need a general-purpose programming language
- you require a large third-party ecosystem

## Facets
- artifact type: library
- maturity: active
- function: data-science, etl, database, interpreter, programming-language
- domain: data-science, databases, analytics, developer-tools
- platform: jvm, cross-platform, cli
- tags: spl, structured-data, sql-alternative, embedded-engine, cluster-computing, excel, csv, jdbc, data-engineering

## Member repositories
- SPLWare/esProc (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.954179+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:21:55.132200+00:00, confidence not recorded.
  - readme: https://github.com/SPLWare/esProc (fetched 2026-08-28T04:08:56.954179+00:00, sha 009eb8b080d5)
  - homepage: http://doc.esproc.com/esproc/ (fetched 2026-08-29T09:03:36.264466+00:00, sha d6ce2fe6a519)
  - site_page: https://doc.esproc.com/tag/documentation (fetched 2026-08-29T09:03:36.278605+00:00, sha 1e6d00ee59b7)
  - site_page: https://doc.esproc.com (fetched 2026-08-29T09:03:36.273467+00:00, sha ab90b9cb04fb)
  - site_page: https://doc.esproc.com/esproc/tutorial/wdzl.html (fetched 2026-08-29T09:03:36.275237+00:00, sha aa0ec710af5c)
  - site_page: https://doc.esproc.com/esproc/tutorial/azysy.html (fetched 2026-08-29T09:03:36.276936+00:00, sha f77e61eb40c6)
- Data as of 2026-08-30T08:39:29.467469+00:00.