# byzer-org/byzer-lang

Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.

Repository: https://github.com/byzer-org/byzer-lang
Canonical: https://ross.abutalabs.com/products/byzer-lang
Homepage: https://www.byzer.org
Language: Scala
License: Apache-2.0
License Family: permissive
Topics: machine-learning, mlsql, bigdata, sql-like-dsl
Last push: 2024-05-29T08:24:09+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3779, "days_push": 826, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1835, forks 537 (observed 2026-08-28T04:05:42.602665+00:00)

## What it is
Byzer (formerly MLSQL) is a low-code, SQL-like distributed programming language and engine for data pipelines, analytics, and AI, built around the principle that everything is a table. It runs on the JVM (originally on Spark) and ships with built-in algorithms and extensions so users can build data apps without directly interacting with the underlying compute framework.

## Use cases
- build etl data pipelines with a sql-like language
- run distributed data analytics on big data
- train machine learning models using sql-like syntax
- unify data engineering and ai workflows in one language
- process external apis as tables for analysis
- build notebook-based data products on spark

## When to choose
- your team knows sql and wants low-code data pipeline and ml tooling
- you want a unified language for etl, analytics, and ai on spark-scale data
- you prefer everything-as-a-table semantics over stitching multiple tools

## When to avoid
- you need a general-purpose programming language with a large ecosystem
- your workloads are small and a pandas/dbt-style stack would suffice
- you need actively rapid development - the project's latest release is from mid-2024

## Facets
- artifact type: framework
- maturity: maintenance
- function: programming-language, interpreter, etl, machine-learning, data-science
- domain: big-data, machine-learning, data-science, programming-languages
- platform: jvm, cloud, self-hosted
- tags: sql-like-dsl, low-code, mlsql, distributed-computing, spark, data-pipeline, analytics, sql, data-engineering, docker, linux

## Member repositories
- byzer-org/byzer-lang (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.602665+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 2026-08-30T03:18:29.974057+00:00, confidence not recorded.
  - readme: https://github.com/byzer-org/byzer-lang (fetched 2026-08-28T04:05:42.602665+00:00, sha 554c2ac30a49)
  - homepage: https://www.byzer.org (fetched 2026-08-29T10:57:36.051932+00:00, sha a8d8760f13a6)
- Data as of 2026-08-30T08:39:29.467469+00:00.