Re: [VOTE] Accept ECharts for Apache Incubation

[Willem Jiang]

+1


Willem Jiang

Blog: http://willemjiang.blogspot.com (English)
  http://jnn.iteye.com  (Chinese)
Twitter: willemjiang
Weibo: 姜宁willem

On Fri, Jan 12, 2018 at 9:13 PM, Kevin A. McGrail 
wrote:

> Hi All,
>
> I would like to start a VOTE & I vote +1 to bring the ECharts project in
> as an Apache incubator podling.
>
> The ASF voting rules are described:
>
> https://www.apache.org/foundation/voting.html
>
> A vote for accepting a new Apache Incubator podling is a majority vote for
> which only Incubator PMC member votes are binding.
>
> This vote will run for at least 72 hours. Please VOTE as follows
> [ ] +1 Accept ECharts into the Apache Incubator
> [ ] +0 Abstain.
> [ ] -1 Do not accept ECharts into the Apache Incubator because ...
>
> The proposal is listed below, but you can also access it on the wiki:
> https://wiki.apache.org/incubator/EChartsProposal
>
> Regards,
> KAM
>
>
> ECharts Proposal
>
> Abstract
>
> ECharts is a charting and data visualization library written in JavaScript.
>
> Proposal
>
> ECharts provides a powerful, interactive charting and data visualization
> library and framework for web browser, mobile App and backend usage.
>
> Background
>
> A primary goal of data visualization is to communicate information clearly
> and efficiently via statistical graphics, plots and other graphics.
>
> Numerical data may be presented in dots, lines, or bars, to visually
> communicate a quantitative message. Effective visualization helps users to
> analyze data .It makes complex data more readable, understandable.[1]
>
> Now data visualization concerns mainly about presentation and propagation
> in web, ECharts uses JavaScript as its basic programing language. It brings
> great compatibility across multiple platforms, not only in web browsers,
> but also in mobile Apps via embedded web engine or in backend environment
> via the techniques of headless browser.
>
> Rationale
>
> ECharts encapsulates the underlying data transformation, control flow,
> visual encoding and rendering, receiving the visualization requirements
> with declarative language, and produces interactive charts and components.
> We will highlight the features below to illustrate the power that ECharts
> already has, and our concerns and our visions:
>
> User Diversity:
>
> ECharts expects that its users are not only web developers, but also
> people with lesser programing skills. So ECharts enables users to describe
> data and settings with declarative language, which lowers the barrier but
> without losing the power, and benefit to transfer and store.
>
> Configurable Interactions:
>
> ECharts has provided plenty of interactions and aims at providing more.
> Both human interactions and the interactions with upper program are
> supported and can be configurable.
>
> Large Data:
>
> Although the browser environment and JavaScript bring some performance
> limits in visualizing large data or performing animations, ECharts have
> been adopting various optimization techniques to rise the upper limit of
> the amount of data that it can process, and keep improving the fluency of
> interactions and animations.
>
> Cross-Platform:
>
> The underlying render engine of ECharts can be switched between
> HTMLCanvas, SVG, or VML, which provides good compatibility and brings
> opportunities to optimize performance according to different platform and
> usage scenarios. Besides, ECharts can also works in backend environment via
> headless techniques.
>
> ECharts can be created using headless browsers to pregenerate reports on
> more powerful machines for better performance on resource-limited devices
>
> Extension and Customization:
>
> ECharts provides extension mechanisms to make new types of chart and
> components, adopt other layout algorithms, or even adopt other render
> techniques. Various developers have contributed different types of
> extensions based on ECharts.[2]
>
> Current Status
>
> ECharts has been an open source project on GitHub[3] since 2013. Currently
> it has more than 20k stars, more than 50k monthly downloads[4] in NPM, and
> is one of the most popular repositories in topic of data visualization
> category in GitHub.[5] And it has been used in many products of Baidu and
> other companies such as Alibaba, Tencent, Netease, XinHua News
> Agency,National Bureau of Statistics of China, Sina, State Grid Corporation
> of China, Lenovo, Ctrip etc.
>
> Meritocracy
>
> The ECharts project already operates on meritocratic principles. It was
> originally created by Lin Zhifeng in 2013,adding developers worldwide and
> has accepted multiple major patches from a diverse set of contributors.
>
> We will follow ASF meritocratic principles to encourage more developers to
> contribute in this project. We know that only active and committed
> developers from a diverse set of backgrounds can make ECharts a successful
> project. We are also improving the project documentation and code to 

Re: [VOTE] Accept ECharts for Apache Incubation

[Hao Chen]

+1 (non-binding)


--

Hao


On Tue, Jan 16, 2018 at 8:49 AM, William Guo  wrote:

> +1 (non-binding)
>
> Thanks,
> William
>
> On Mon, Jan 15, 2018 at 10:10 PM, Huxing Zhang  wrote:
>
> > +1(non-binding)
> >
> > On Fri, Jan 12, 2018 at 9:13 PM, Kevin A. McGrail 
> > wrote:
> > > Hi All,
> > >
> > > I would like to start a VOTE & I vote +1 to bring the ECharts project
> in
> > as
> > > an Apache incubator podling.
> > >
> > > The ASF voting rules are described:
> > >
> > > https://www.apache.org/foundation/voting.html
> > >
> > > A vote for accepting a new Apache Incubator podling is a majority vote
> > for
> > > which only Incubator PMC member votes are binding.
> > >
> > > This vote will run for at least 72 hours. Please VOTE as follows
> > > [ ] +1 Accept ECharts into the Apache Incubator
> > > [ ] +0 Abstain.
> > > [ ] -1 Do not accept ECharts into the Apache Incubator because ...
> > >
> > > The proposal is listed below, but you can also access it on the wiki:
> > > https://wiki.apache.org/incubator/EChartsProposal
> > >
> > > Regards,
> > > KAM
> > >
> > >
> > > ECharts Proposal
> > >
> > > Abstract
> > >
> > > ECharts is a charting and data visualization library written in
> > JavaScript.
> > >
> > > Proposal
> > >
> > > ECharts provides a powerful, interactive charting and data
> visualization
> > > library and framework for web browser, mobile App and backend usage.
> > >
> > > Background
> > >
> > > A primary goal of data visualization is to communicate information
> > clearly
> > > and efficiently via statistical graphics, plots and other graphics.
> > >
> > > Numerical data may be presented in dots, lines, or bars, to visually
> > > communicate a quantitative message. Effective visualization helps users
> > to
> > > analyze data .It makes complex data more readable, understandable.[1]
> > >
> > > Now data visualization concerns mainly about presentation and
> > propagation in
> > > web, ECharts uses JavaScript as its basic programing language. It
> brings
> > > great compatibility across multiple platforms, not only in web
> browsers,
> > but
> > > also in mobile Apps via embedded web engine or in backend environment
> via
> > > the techniques of headless browser.
> > >
> > > Rationale
> > >
> > > ECharts encapsulates the underlying data transformation, control flow,
> > > visual encoding and rendering, receiving the visualization requirements
> > with
> > > declarative language, and produces interactive charts and components.
> We
> > > will highlight the features below to illustrate the power that ECharts
> > > already has, and our concerns and our visions:
> > >
> > > User Diversity:
> > >
> > > ECharts expects that its users are not only web developers, but also
> > people
> > > with lesser programing skills. So ECharts enables users to describe
> data
> > and
> > > settings with declarative language, which lowers the barrier but
> without
> > > losing the power, and benefit to transfer and store.
> > >
> > > Configurable Interactions:
> > >
> > > ECharts has provided plenty of interactions and aims at providing more.
> > Both
> > > human interactions and the interactions with upper program are
> supported
> > and
> > > can be configurable.
> > >
> > > Large Data:
> > >
> > > Although the browser environment and JavaScript bring some performance
> > > limits in visualizing large data or performing animations, ECharts have
> > been
> > > adopting various optimization techniques to rise the upper limit of the
> > > amount of data that it can process, and keep improving the fluency of
> > > interactions and animations.
> > >
> > > Cross-Platform:
> > >
> > > The underlying render engine of ECharts can be switched between
> > HTMLCanvas,
> > > SVG, or VML, which provides good compatibility and brings opportunities
> > to
> > > optimize performance according to different platform and usage
> scenarios.
> > > Besides, ECharts can also works in backend environment via headless
> > > techniques.
> > >
> > > ECharts can be created using headless browsers to pregenerate reports
> on
> > > more powerful machines for better performance on resource-limited
> devices
> > >
> > > Extension and Customization:
> > >
> > > ECharts provides extension mechanisms to make new types of chart and
> > > components, adopt other layout algorithms, or even adopt other render
> > > techniques. Various developers have contributed different types of
> > > extensions based on ECharts.[2]
> > >
> > > Current Status
> > >
> > > ECharts has been an open source project on GitHub[3] since 2013.
> > Currently
> > > it has more than 20k stars, more than 50k monthly downloads[4] in NPM,
> > and
> > > is one of the most popular repositories in topic of data visualization
> > > category in GitHub.[5] And it has been used in many products of Baidu
> and
> > > other companies such as Alibaba, Tencent, Netease, XinHua News
> > > Agency,National Bureau of 

Re: [VOTE] Accept ECharts for Apache Incubation

[William Guo]

+1 (non-binding)

Thanks,
William

On Mon, Jan 15, 2018 at 10:10 PM, Huxing Zhang  wrote:

> +1(non-binding)
>
> On Fri, Jan 12, 2018 at 9:13 PM, Kevin A. McGrail 
> wrote:
> > Hi All,
> >
> > I would like to start a VOTE & I vote +1 to bring the ECharts project in
> as
> > an Apache incubator podling.
> >
> > The ASF voting rules are described:
> >
> > https://www.apache.org/foundation/voting.html
> >
> > A vote for accepting a new Apache Incubator podling is a majority vote
> for
> > which only Incubator PMC member votes are binding.
> >
> > This vote will run for at least 72 hours. Please VOTE as follows
> > [ ] +1 Accept ECharts into the Apache Incubator
> > [ ] +0 Abstain.
> > [ ] -1 Do not accept ECharts into the Apache Incubator because ...
> >
> > The proposal is listed below, but you can also access it on the wiki:
> > https://wiki.apache.org/incubator/EChartsProposal
> >
> > Regards,
> > KAM
> >
> >
> > ECharts Proposal
> >
> > Abstract
> >
> > ECharts is a charting and data visualization library written in
> JavaScript.
> >
> > Proposal
> >
> > ECharts provides a powerful, interactive charting and data visualization
> > library and framework for web browser, mobile App and backend usage.
> >
> > Background
> >
> > A primary goal of data visualization is to communicate information
> clearly
> > and efficiently via statistical graphics, plots and other graphics.
> >
> > Numerical data may be presented in dots, lines, or bars, to visually
> > communicate a quantitative message. Effective visualization helps users
> to
> > analyze data .It makes complex data more readable, understandable.[1]
> >
> > Now data visualization concerns mainly about presentation and
> propagation in
> > web, ECharts uses JavaScript as its basic programing language. It brings
> > great compatibility across multiple platforms, not only in web browsers,
> but
> > also in mobile Apps via embedded web engine or in backend environment via
> > the techniques of headless browser.
> >
> > Rationale
> >
> > ECharts encapsulates the underlying data transformation, control flow,
> > visual encoding and rendering, receiving the visualization requirements
> with
> > declarative language, and produces interactive charts and components. We
> > will highlight the features below to illustrate the power that ECharts
> > already has, and our concerns and our visions:
> >
> > User Diversity:
> >
> > ECharts expects that its users are not only web developers, but also
> people
> > with lesser programing skills. So ECharts enables users to describe data
> and
> > settings with declarative language, which lowers the barrier but without
> > losing the power, and benefit to transfer and store.
> >
> > Configurable Interactions:
> >
> > ECharts has provided plenty of interactions and aims at providing more.
> Both
> > human interactions and the interactions with upper program are supported
> and
> > can be configurable.
> >
> > Large Data:
> >
> > Although the browser environment and JavaScript bring some performance
> > limits in visualizing large data or performing animations, ECharts have
> been
> > adopting various optimization techniques to rise the upper limit of the
> > amount of data that it can process, and keep improving the fluency of
> > interactions and animations.
> >
> > Cross-Platform:
> >
> > The underlying render engine of ECharts can be switched between
> HTMLCanvas,
> > SVG, or VML, which provides good compatibility and brings opportunities
> to
> > optimize performance according to different platform and usage scenarios.
> > Besides, ECharts can also works in backend environment via headless
> > techniques.
> >
> > ECharts can be created using headless browsers to pregenerate reports on
> > more powerful machines for better performance on resource-limited devices
> >
> > Extension and Customization:
> >
> > ECharts provides extension mechanisms to make new types of chart and
> > components, adopt other layout algorithms, or even adopt other render
> > techniques. Various developers have contributed different types of
> > extensions based on ECharts.[2]
> >
> > Current Status
> >
> > ECharts has been an open source project on GitHub[3] since 2013.
> Currently
> > it has more than 20k stars, more than 50k monthly downloads[4] in NPM,
> and
> > is one of the most popular repositories in topic of data visualization
> > category in GitHub.[5] And it has been used in many products of Baidu and
> > other companies such as Alibaba, Tencent, Netease, XinHua News
> > Agency,National Bureau of Statistics of China, Sina, State Grid
> Corporation
> > of China, Lenovo, Ctrip etc.
> >
> > Meritocracy
> >
> > The ECharts project already operates on meritocratic principles. It was
> > originally created by Lin Zhifeng in 2013,adding developers worldwide and
> > has accepted multiple major patches from a diverse set of contributors.
> >
> > We will follow ASF meritocratic principles to 

[RESULT] [VOTE] Apache AriaTosca Release 0.2.0

[Thomas Nadeau]

The vote has passed with: - Three binding "+1" votes - no "0" votes - no
"-1" votes

The votes were: - +1, Suneel Marthi (binding) - +1, John D Ament (binding)
- +1, Justin Mclean (binding) Vote Thread:
https://lists.apache.org/thread.html/6b0acd6690fb59b9ad91a7c304ac8285afc1a3eb3e402ad1cf71bfb5@%3Cgeneral.incubator.apache.org%3E
The release is approved!

Thanks to all who examined the release artifacts and voted.

Cheers,
--Tom

Re: [VOTE] Accept ECharts for Apache Incubation

[Huxing Zhang]

+1(non-binding)

On Fri, Jan 12, 2018 at 9:13 PM, Kevin A. McGrail  wrote:
> Hi All,
>
> I would like to start a VOTE & I vote +1 to bring the ECharts project in as
> an Apache incubator podling.
>
> The ASF voting rules are described:
>
> https://www.apache.org/foundation/voting.html
>
> A vote for accepting a new Apache Incubator podling is a majority vote for
> which only Incubator PMC member votes are binding.
>
> This vote will run for at least 72 hours. Please VOTE as follows
> [ ] +1 Accept ECharts into the Apache Incubator
> [ ] +0 Abstain.
> [ ] -1 Do not accept ECharts into the Apache Incubator because ...
>
> The proposal is listed below, but you can also access it on the wiki:
> https://wiki.apache.org/incubator/EChartsProposal
>
> Regards,
> KAM
>
>
> ECharts Proposal
>
> Abstract
>
> ECharts is a charting and data visualization library written in JavaScript.
>
> Proposal
>
> ECharts provides a powerful, interactive charting and data visualization
> library and framework for web browser, mobile App and backend usage.
>
> Background
>
> A primary goal of data visualization is to communicate information clearly
> and efficiently via statistical graphics, plots and other graphics.
>
> Numerical data may be presented in dots, lines, or bars, to visually
> communicate a quantitative message. Effective visualization helps users to
> analyze data .It makes complex data more readable, understandable.[1]
>
> Now data visualization concerns mainly about presentation and propagation in
> web, ECharts uses JavaScript as its basic programing language. It brings
> great compatibility across multiple platforms, not only in web browsers, but
> also in mobile Apps via embedded web engine or in backend environment via
> the techniques of headless browser.
>
> Rationale
>
> ECharts encapsulates the underlying data transformation, control flow,
> visual encoding and rendering, receiving the visualization requirements with
> declarative language, and produces interactive charts and components. We
> will highlight the features below to illustrate the power that ECharts
> already has, and our concerns and our visions:
>
> User Diversity:
>
> ECharts expects that its users are not only web developers, but also people
> with lesser programing skills. So ECharts enables users to describe data and
> settings with declarative language, which lowers the barrier but without
> losing the power, and benefit to transfer and store.
>
> Configurable Interactions:
>
> ECharts has provided plenty of interactions and aims at providing more. Both
> human interactions and the interactions with upper program are supported and
> can be configurable.
>
> Large Data:
>
> Although the browser environment and JavaScript bring some performance
> limits in visualizing large data or performing animations, ECharts have been
> adopting various optimization techniques to rise the upper limit of the
> amount of data that it can process, and keep improving the fluency of
> interactions and animations.
>
> Cross-Platform:
>
> The underlying render engine of ECharts can be switched between HTMLCanvas,
> SVG, or VML, which provides good compatibility and brings opportunities to
> optimize performance according to different platform and usage scenarios.
> Besides, ECharts can also works in backend environment via headless
> techniques.
>
> ECharts can be created using headless browsers to pregenerate reports on
> more powerful machines for better performance on resource-limited devices
>
> Extension and Customization:
>
> ECharts provides extension mechanisms to make new types of chart and
> components, adopt other layout algorithms, or even adopt other render
> techniques. Various developers have contributed different types of
> extensions based on ECharts.[2]
>
> Current Status
>
> ECharts has been an open source project on GitHub[3] since 2013. Currently
> it has more than 20k stars, more than 50k monthly downloads[4] in NPM, and
> is one of the most popular repositories in topic of data visualization
> category in GitHub.[5] And it has been used in many products of Baidu and
> other companies such as Alibaba, Tencent, Netease, XinHua News
> Agency,National Bureau of Statistics of China, Sina, State Grid Corporation
> of China, Lenovo, Ctrip etc.
>
> Meritocracy
>
> The ECharts project already operates on meritocratic principles. It was
> originally created by Lin Zhifeng in 2013,adding developers worldwide and
> has accepted multiple major patches from a diverse set of contributors.
>
> We will follow ASF meritocratic principles to encourage more developers to
> contribute in this project. We know that only active and committed
> developers from a diverse set of backgrounds can make ECharts a successful
> project. We are also improving the project documentation and code to help
> new developers to get started quickly.
>
> Community
>
> ECharts has been building an active community for the last four years.

Re: Apache Project proposal questions

[John D. Ament]

Hi Taher,

Typically, our recommendations lean towards somewhat established codebases
over an empty codebase.  With sites like github now pretty dominant across
the board, it's easy to setup a repository on github and start attracting
users/developers to work with you on it.

John

On Sat, Jan 13, 2018 at 9:56 AM taher koitawala  wrote:

> Hi All,
> I am currently preparing a project proposal which is mainly towards
> the bigdata side. Problems i am facing are
>
>1. I have a proposal which I know will make sense to a lot of people,
>but that's the problem its just a proposal no code to start with.
>2. I have filled the abstract and the proposal sections in the proposal
>format but i don't  know what to fill in the mentor, known issues and
>meritocracy  section. I also I do not know a sponsor or a mentor whom i
> add
>or who can guide me.
>
> Appreciate any help in advance.
>
> Regards,
> Taher Koitawala
>