# bigdatagenomics/adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

Repository: https://github.com/bigdatagenomics/adam
Canonical: https://ross.abutalabs.com/products/adam
Language: Scala
License: Apache-2.0
License Family: permissive
Topics: spark, big-data, bioinformatics, genomics, parquet, avro, scala, java, python, r
Last push: 2026-03-17T20:10:53+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 72, release rhythm 8, longevity 100
- inputs: {"age_days": 4670, "days_push": 169, "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 1057, forks 312 (observed 2026-08-28T04:03:24.744949+00:00)

## What it is
ADAM is a genomics analysis platform built on Apache Spark that provides schemas and APIs for processing genomic data like reads, variants, and features. It works as both a Scala/Java/Python/R library and a CLI tool, using Avro and Parquet-based formats with support for legacy formats like BAM, VCF, and BED.

## Use cases
- run DNA sequencing pipelines on a Spark cluster
- convert BAM and VCF files to Parquet for faster analytics
- parallelize variant calling across thousands of cores
- process RNA-seq read counts at scale
- query genomic data with SQL from Spark
- replace script-glued sequencing workflows with an in-memory pipeline

## When to choose
- you need to scale genomics processing beyond a single machine
- you want interoperable columnar storage for genomic data
- your team already uses Spark and wants genomic APIs in Scala, Java, Python, R, or SQL

## When to avoid
- you only need small-scale, single-sample analysis where standard tools like GATK or samtools suffice
- you cannot operate a Spark cluster or JVM environment
- you need a turnkey GUI-based genomics platform

## Facets
- artifact type: library
- maturity: active
- function: etl, data-science, cli, serialization
- domain: bioinformatics, big-data
- platform: jvm, python, go, rust, cli, cloud
- tags: genomics, apache-spark, parquet, avro, variant-calling, sequencing, scala, distributed-computing, data-engineering

## Member repositories
- bigdatagenomics/adam (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:24.744949+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 2026-08-30T06:57:56.077460+00:00, confidence not recorded.
  - readme: https://github.com/bigdatagenomics/adam (fetched 2026-08-28T04:03:24.744949+00:00, sha 6d11f59cb7d5)
- Data as of 2026-08-30T08:39:29.467469+00:00.