Closed dukechain2333 closed 2 years ago
To make some contrast, contribution statics from another tool is like this, which seems more fit to my status.
Hi dukechain2333. Thanks for visiting my repository.
What this chart represents is which languages your commits over the past year have contributed to. It does not represent the language used in your repository.
Each commit has a target repository. Each repository has a primary language.
Each commit is calculated as a contribution to the primary language of the target repository.
This information is retrieved via GitHub's GraphQL API.
The query is as follows:
query {
user(login: "dukechain2333") {
contributionsCollection {
commitContributionsByRepository(maxRepositories: 100) {
repository {
nameWithOwner
primaryLanguage {
name
}
}
contributions {
totalCount
}
}
}
}
}
Results are as follows (public only):
{
"data": {
"user": {
"contributionsCollection": {
"commitContributionsByRepository": [
{
"repository": {
"nameWithOwner": "enligencelab/enligencelab.github.io",
"primaryLanguage": {
"name": "HTML"
}
},
"contributions": {
"totalCount": 224
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/dukechain2333",
"primaryLanguage": null
},
"contributions": {
"totalCount": 179
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/BigData-Develop-Course",
"primaryLanguage": {
"name": "Scala"
}
},
"contributions": {
"totalCount": 4
}
},
{
"repository": {
"nameWithOwner": "enligencelab/.github",
"primaryLanguage": null
},
"contributions": {
"totalCount": 3
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/IBM-Data-Science-Certificate-Capstone",
"primaryLanguage": {
"name": "Jupyter Notebook"
}
},
"contributions": {
"totalCount": 3
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/BigData-Develop-Course-ShortPeriod",
"primaryLanguage": {
"name": "Scala"
}
},
"contributions": {
"totalCount": 3
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/TranslHero",
"primaryLanguage": {
"name": "Python"
}
},
"contributions": {
"totalCount": 3
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/EasyVocab",
"primaryLanguage": {
"name": "HTML"
}
},
"contributions": {
"totalCount": 3
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/HBase-Develop-Course",
"primaryLanguage": {
"name": "Java"
}
},
"contributions": {
"totalCount": 2
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/OperationDash",
"primaryLanguage": {
"name": "Python"
}
},
"contributions": {
"totalCount": 1
}
},
{
"repository": {
"nameWithOwner": "dukechain2333/BaiduTranslate-Terminal",
"primaryLanguage": {
"name": "Python"
}
},
"contributions": {
"totalCount": 1
}
},
{
"repository": {
"nameWithOwner": "liyupi/rubbish-yingxiaohao",
"primaryLanguage": {
"name": "JavaScript"
}
},
"contributions": {
"totalCount": 1
}
}
]
}
}
}
}
Repo | Contrib | Lang |
---|---|---|
enligencelab/enligencelab.github.io | 224 | HTML |
dukechain2333/dukechain2333 | 179 | null |
dukechain2333/BigData-Develop-Course | 4 | Scale |
enligencelab/.github | 3 | null |
dukechain2333/IBM-Data-Science-Certificate-Capstone | 3 | Jupyter Notebook |
dukechain2333/BigData-Develop-Course-ShortPeriod | 3 | Scala |
dukechain2333/TranslHero | 3 | Python |
dukechain2333/EasyVocab | 3 | HTML |
dukechain2333/HBase-Develop-Course | 2 | Java |
dukechain2333/OperationDash | 1 | Python |
dukechain2333/BaiduTranslate-Terminal | 1 | Python |
liyupi/rubbish-yingxiaohao | 1 | JavaScript |
That helps a lot. Thank you
Hi
I am not a front-end guy so I was really surprised when I see my circle here. Most of my repos are for Python and Jupyter-notebook. I really have no idea why the
other
part andhtml
part took so much space.Could you shed some light on how those contributions are calculated?
Thanks a lot!