Congo
Git Pushes // Congo
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 // Congo
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. Note that this count includes repositories that may no longer be actively developed or maintained.
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 // Congo
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. Note that this count includes developer accounts that may no longer be active.
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 // Congo
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. Note that this count includes organizations that may no longer be active.
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 // Congo
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 // Congo
Sorry, we are unable to report data on licenses for this economy.
Topics // Congo
Sorry, we are unable to report data on topics for this economy.
Economy Collaborators // Congo
Sorry, we are unable to report data on economy collaborators for this economy.
Inbound Collaborators Over Time // Congo
How to read this chart
The width of each stream corresponds to the sum of git pushes and pull requests received from another economy. Wider streams correspond to greater volumes of git pushes sent and pull requests opened. By default, the top 30 economies per quarter are displayed. If an economy enters the top 30 in any quarter through the series, data for that economy are displayed for every quarter in the series. Thus, more than 30 economies may appear on the chart. You can select or deselect economies to narrow focus.
The economy collaborators metric represents a measure of collaboration on software projects. It is defined as the sum of git pushes sent and pull requests opened by a developer to a repository owned by another developer or organization. See the documentation for git push for a description of the git push command. See our documentation for Pull Requests and Repositories for more information about supported functionality.
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.
Outbound Collaborators Over Time // Congo
How to read this chart
The width of each stream corresponds to the sum of git pushes and pull requests sent to another economy. Wider streams correspond to greater volumes of git pushes sent and pull requests opened. By default, the top 30 economies per quarter are displayed. If an economy enters the top 30 in any quarter through the series, data for that economy are displayed for every quarter in the series. Thus, more than 30 economies may appear on the chart. You can select or deselect economies to narrow focus.
About this metric
The economy collaborators metric represents a measure of collaboration on software projects. It is defined as the sum of git pushes sent and pull requests opened by a developer to a repository owned by another developer or organization. See the documentation for git push for a description of the git push command. See our documentation for Pull Requests and Repositories for more information about supported functionality.
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.