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Data Marketplace · Markets & technology

GitHub Repositories Dataset

Map public GitHub repositories, organizations, releases, languages, topics, and activity for software ecosystem research.

Request GitHub sampleView fields
  • Records Repository · Organization · Release
  • Source GitHub
  • Formats JSON · CSV · Parquet
Public GitHub repositories and organizations become structured repository, release, language, topic, and activity records

Schema and fields

Build on GitHub records with context attached.

repositorystring

Owner and repository identity

repository_urlurl

Public source URL

descriptionstring

Public repository summary

languagesarray

Observed language context

topicsarray

Public repository topics

latest_releaseobject

Available public release context

activityobject

Observed public activity signals

captured_attimestamp

Collection time

Freshness and delivery

Keep GitHub data aligned with your analysis cycle.

Use a dated ecosystem snapshot or recurring refreshes when repositories, releases, languages, and public activity need to be compared over time.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

GitHub applications

Put GitHub records to work.

01

Technology ecosystem mapping

Compare public repositories, organizations, topics, languages, and release patterns.

02

Open-source project research

Build source-linked project records for selected technologies, organizations, or categories.

03

Release and activity monitoring

Track newly observed releases and public repository activity across a controlled scope.

From sample to production

Test GitHub Repositories records in your data stack.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

GitHub dataset FAQ

Plan the right GitHub Repositories collection.

What does the GitHub Repositories Dataset include?

Map public GitHub repositories, organizations, releases, languages, topics, and activity for software ecosystem research.

What can I build with GitHub data?

  • Technology ecosystem mapping

  • Open-source project research

  • Release and activity monitoring

How can the GitHub dataset stay current?

Use a dated ecosystem snapshot or recurring refreshes when repositories, releases, languages, and public activity need to be compared over time.

When should I use the GitHub API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect GitHub data to the wider use case.

Start with real records

Request a GitHub dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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