Japan

Git Pushes

How to read this chart

Each data point corresponds to the number of git pushes observed from developers in the economy during a given quarter. Greater values appear higher on the chart and later values appear farther to the right.

About this metric

The git pushes metric represents the number of times developers within an economy uploaded code to GitHub. See the documentation for git push for a description of the git push command. Changes to files made through GitHub's online platform automatically result in a push. Note that a single git push may contain multiple commits.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Repositories

How to read this chart

Each data point corresponds to the number of repositories owned by developers or organizations in the economy during a given quarter. Greater values appear higher on the chart and later values appear farther to the right.

About this metric

The repositories metric represents software projects in a given economy and is defined by repository count in a given economy. Location is assigned by the mode location of all repository members with triage and above access. See our documentation for Repositories for more information.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Developers

How to read this chart

Each data point corresponds to the number of developers in the economy during a given quarter. Greater values appear higher on the chart and later values appear farther to the right.

About this metric

The developers metric represents the number of developer accounts on GitHub in a given economy. This count excludes users that are bots or otherwise flagged as “spammy” within internal systems. See our documentation for personal accounts for more information.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Organizations

How to read this chart

Each data point corresponds to the number of organizations in the economy during a given quarter. Greater values appear higher on the chart and later values appear farther to the right.

About this metric

The organizations metric represents the number of developer groups in a given economy, including companies, academic groups, nonprofits, and informal collectives that organize activity on GitHub. Location is assigned by the mode location of all organization members. See our documentation for Organizations for more information.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Programming Languages

How to read this chart

Each data point corresponds to the rank of a programming language based on the count of unique developers who uploaded code to a repository containing that language during a given quarter. Programming languages with a greater count of unique developers appear higher on the chart and later values appear farther to the right.

About this metric

The programming languages metric represents the most popular programming languages within an economy. It gives the total count of unique developers making at least one git push to a repo containing the programming language. See our documentation for repository languages for more information about how we detect programming languages.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Licenses

How to read this chart

Each data point corresponds to the rank of a license based on the count of unique developers who uploaded code to a repository subject to the terms of that license during a given quarter. Licenses with a greater count of unique developers appear higher on the chart and later values appear farther to the right.

About this metric

The licenses metric represents the most popular software licenses in a given economy. It gives the total count of unique developers making at least one git push to a repository with a given license. See our documentation for Licenses for more information about how we classify repositories by license.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Topics

How to read this chart

Each data point corresponds to the rank of a topic based on the count of unique developers who uploaded code to a repository tagged with that topic during a given quarter. Topics with a greater count of unique developers appear higher on the chart and later values appear farther to the right.

About this metric

The topics metric represents the most popular project topics within an economy, using the topics feature for repositories. It gives the total count of unique developers making at least one git push to a repository with a given topic. See our documentation for Topics for more information about how developers assign topics to repositories.

Methodological note

Metrics for economies are only reported when there are 100 or more unique developers performing the relevant activity within the time period. See the datasheet in our repository for more on the metrics, definitions, representativeness, and limitations of the GitHub Innovation Graph.

Access the data

Access the complete dataset on our repository or download the individual CSV files.

Economy Collaborators

Sorry, we are unable to report data on economy collaborators for this economy.