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Posted to user@flagon.apache.org by Joshua Poore <po...@apache.org> on 2022/06/01 01:49:41 UTC
[DISCUSS] Accept UMD Software Grant into Apache Flagon
Hi All,
I’m very excited to say that the University of Maryland has executed an CCLA with Software Grant for the Apache Flagon project!
The Software Grant encompasses a refactor of the Apache Flagon Distill product, which has been deprecated for a few years now [1]
This Grant includes ~150 new commits and thousands of new insertions (and a lot of deletions)
At UMD my team and I re-thought Distill as a Python Package (for distro through PyPI) [2] that allows users to:
- efficiently segment UserALE.js (or User Behavior Logs) data
- curate segments
- transform segments with logical operations (intersection, union, etc.)
- filter log data extracted from segments
- apply analytics (e.g., statistical, graphs) to data extracted from segments
- support graph-based visualization (funnel, sankey)
Additionally:
- code is well documented [3]
- excellent working examples [4]
Distill also provides examples for dashboards to visualize segments using both Apache Superset and Plotly/Dash
The original Distill product was tethered to a front-end (Tap), relied on rudimentary (and error-prone) processing of segments within the client. This made Distill difficult to maintain and required users to adopt tap, limiting their analytical use-cases with UserALE.js and Distill.
Overall, I think that Distill provides a far more scaleable product to engage (and expand) our development community. I think this will add real value to Apache Flagon.
Overhead/Actions prior to release:
- Documentation builds will need be adjusted for a new repo/branch
- Additional documentation for a few analytical functions (i.e., click-rate)
- Minor tweaks to simply code in a few functions (i.e., click-rate)
- Some restructuring of Repo to consolidate and organize examples
- a few additional README’s should be added (i.e., examples /dir)
IP Clearance
The Software Grant is signed by Felicia Metz, esq. who is an Associate Director at the University of Maryland’s, UMD Ventures office, which has authority to release UMD IP. That makes accepting this grant significantly easier from an IP Clearance perspective.
New Committers
The UMD executed CCLA includes 5 new committers and potentially new PPMC members.
Prior to initiating a VOTE on private@ I wanted to give the community an opportunity to chime in and ask questions. The New Committers listed are already subscribed to the dev list.
Let’s take 72 hours to DISCUSS prior to a VOTE.
Best,
Josh
[1] https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill>
[2] https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
[3] https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
[4] https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by Austin Bennett <wh...@gmail.com>.
The details shared in the email sound great. Will follow up after reading
the links, in the event anything seems really concerning.
On Tue, May 31, 2022, 6:49 PM Joshua Poore <po...@apache.org> wrote:
> Hi All,
>
> I’m very excited to say that the University of Maryland has executed an
> CCLA with Software Grant for the Apache Flagon project!
>
> The Software Grant encompasses a refactor of the Apache Flagon Distill
> product, which has been deprecated for a few years now [1]
>
> This Grant includes ~150 new commits and thousands of new insertions (and
> a lot of deletions)
>
> At UMD my team and I re-thought Distill as a Python Package (for distro
> through PyPI) [2] that allows users to:
>
> - efficiently segment UserALE.js (or User Behavior Logs) data
> - curate segments
> - transform segments with logical operations (intersection, union, etc.)
> - filter log data extracted from segments
> - apply analytics (e.g., statistical, graphs) to data extracted from
> segments
> - support graph-based visualization (funnel, sankey)
>
> Additionally:
> - code is well documented [3]
> - excellent working examples [4]
>
> Distill also provides examples for dashboards to visualize segments using
> both Apache Superset and Plotly/Dash
>
> The original Distill product was tethered to a front-end (Tap), relied on
> rudimentary (and error-prone) processing of segments within the client.
> This made Distill difficult to maintain and required users to adopt tap,
> limiting their analytical use-cases with UserALE.js and Distill.
>
> Overall, I think that Distill provides a far more scaleable product to
> engage (and expand) our development community. I think this will add real
> value to Apache Flagon.
>
> Overhead/Actions prior to release:
>
> - Documentation builds will need be adjusted for a new repo/branch
> - Additional documentation for a few analytical functions (i.e.,
> click-rate)
> - Minor tweaks to simply code in a few functions (i.e., click-rate)
> - Some restructuring of Repo to consolidate and organize examples
> - a few additional README’s should be added (i.e., examples /dir)
>
> IP Clearance
>
> The Software Grant is signed by Felicia Metz, esq. who is an Associate
> Director at the University of Maryland’s, UMD Ventures office, which has
> authority to release UMD IP. That makes accepting this grant significantly
> easier from an IP Clearance perspective.
>
> New Committers
>
> The UMD executed CCLA includes 5 new committers and potentially new PPMC
> members.
>
> Prior to initiating a VOTE on private@ I wanted to give the community an
> opportunity to chime in and ask questions. The New Committers listed are
> already subscribed to the dev list.
>
> Let’s take 72 hours to DISCUSS prior to a VOTE.
>
> Best,
>
> Josh
>
>
> [1] https://github.com/apache/incubator-flagon-distill <
> https://github.com/apache/incubator-flagon-distill>
> [2]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
>
> [3]
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/
> <
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
>
> [4]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>
>
[RESULT] Accept UMD Software Grant into Apache Flagon
Posted by Joshua Poore <po...@apache.org>.
All—
I’m pleased to announce that the VOTE to Accept the UMD CCLA and Software Grant has passed under ASF consensus rules.
The Apache Flagon community will accept the UMD CCLA and Software Grant. The listed contributors on the UMD CCLA will be accepted into the community as committers.
Thank You to all who voted and contributed to Discussion!
I will work with mentors to file the CCLA with the ASF Secretary, work with named contributors to onboard them as committers (including collect ICLAs)!
Thank You and thanks to the University of Maryland. We will attribute our thanks of the generous donation through our Notice File!
-J
> On Jun 4, 2022, at 10:00 PM, Lewis John McGibbney <le...@apache.org> wrote:
>
> Just VOTE’d.
> Excellent community building.
> lewismc
>
> On Sat, Jun 4, 2022 at 17:42 Joshua Poore <poorejc@apache.org <ma...@apache.org>> wrote:
> Feel free to continue discussing. However, I have initiated a VOTE on private@ to accept the CCLA and Software Grant.
>
> > On May 31, 2022, at 9:49 PM, Joshua Poore <poorejc@apache.org <ma...@apache.org>> wrote:
> >
> > Hi All,
> >
> > I’m very excited to say that the University of Maryland has executed an CCLA with Software Grant for the Apache Flagon project!
> >
> > The Software Grant encompasses a refactor of the Apache Flagon Distill product, which has been deprecated for a few years now [1]
> >
> > This Grant includes ~150 new commits and thousands of new insertions (and a lot of deletions)
> >
> > At UMD my team and I re-thought Distill as a Python Package (for distro through PyPI) [2] that allows users to:
> >
> > - efficiently segment UserALE.js (or User Behavior Logs) data
> > - curate segments
> > - transform segments with logical operations (intersection, union, etc.)
> > - filter log data extracted from segments
> > - apply analytics (e.g., statistical, graphs) to data extracted from segments
> > - support graph-based visualization (funnel, sankey)
> >
> > Additionally:
> > - code is well documented [3]
> > - excellent working examples [4]
> >
> > Distill also provides examples for dashboards to visualize segments using both Apache Superset and Plotly/Dash
> >
> > The original Distill product was tethered to a front-end (Tap), relied on rudimentary (and error-prone) processing of segments within the client. This made Distill difficult to maintain and required users to adopt tap, limiting their analytical use-cases with UserALE.js and Distill.
> >
> > Overall, I think that Distill provides a far more scaleable product to engage (and expand) our development community. I think this will add real value to Apache Flagon.
> >
> > Overhead/Actions prior to release:
> >
> > - Documentation builds will need be adjusted for a new repo/branch
> > - Additional documentation for a few analytical functions (i.e., click-rate)
> > - Minor tweaks to simply code in a few functions (i.e., click-rate)
> > - Some restructuring of Repo to consolidate and organize examples
> > - a few additional README’s should be added (i.e., examples /dir)
> >
> > IP Clearance
> >
> > The Software Grant is signed by Felicia Metz, esq. who is an Associate Director at the University of Maryland’s, UMD Ventures office, which has authority to release UMD IP. That makes accepting this grant significantly easier from an IP Clearance perspective.
> >
> > New Committers
> >
> > The UMD executed CCLA includes 5 new committers and potentially new PPMC members.
> >
> > Prior to initiating a VOTE on private@ I wanted to give the community an opportunity to chime in and ask questions. The New Committers listed are already subscribed to the dev list.
> >
> > Let’s take 72 hours to DISCUSS prior to a VOTE.
> >
> > Best,
> >
> > Josh
> >
> >
> > [1] https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill> <https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill>>
> > [2] https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor> <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>>
> > [3] https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/> <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>>
> > [4] https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb> <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>>
>
> --
> http://home.apache.org/~lewismc/ <http://home.apache.org/~lewismc/>
> http://people.apache.org/keys/committer/lewismc <http://people.apache.org/keys/committer/lewismc>
[RESULT] Accept UMD Software Grant into Apache Flagon
Posted by Joshua Poore <po...@apache.org>.
All—
I’m pleased to announce that the VOTE to Accept the UMD CCLA and Software Grant has passed under ASF consensus rules.
The Apache Flagon community will accept the UMD CCLA and Software Grant. The listed contributors on the UMD CCLA will be accepted into the community as committers.
Thank You to all who voted and contributed to Discussion!
I will work with mentors to file the CCLA with the ASF Secretary, work with named contributors to onboard them as committers (including collect ICLAs)!
Thank You and thanks to the University of Maryland. We will attribute our thanks of the generous donation through our Notice File!
-J
> On Jun 4, 2022, at 10:00 PM, Lewis John McGibbney <le...@apache.org> wrote:
>
> Just VOTE’d.
> Excellent community building.
> lewismc
>
> On Sat, Jun 4, 2022 at 17:42 Joshua Poore <poorejc@apache.org <ma...@apache.org>> wrote:
> Feel free to continue discussing. However, I have initiated a VOTE on private@ to accept the CCLA and Software Grant.
>
> > On May 31, 2022, at 9:49 PM, Joshua Poore <poorejc@apache.org <ma...@apache.org>> wrote:
> >
> > Hi All,
> >
> > I’m very excited to say that the University of Maryland has executed an CCLA with Software Grant for the Apache Flagon project!
> >
> > The Software Grant encompasses a refactor of the Apache Flagon Distill product, which has been deprecated for a few years now [1]
> >
> > This Grant includes ~150 new commits and thousands of new insertions (and a lot of deletions)
> >
> > At UMD my team and I re-thought Distill as a Python Package (for distro through PyPI) [2] that allows users to:
> >
> > - efficiently segment UserALE.js (or User Behavior Logs) data
> > - curate segments
> > - transform segments with logical operations (intersection, union, etc.)
> > - filter log data extracted from segments
> > - apply analytics (e.g., statistical, graphs) to data extracted from segments
> > - support graph-based visualization (funnel, sankey)
> >
> > Additionally:
> > - code is well documented [3]
> > - excellent working examples [4]
> >
> > Distill also provides examples for dashboards to visualize segments using both Apache Superset and Plotly/Dash
> >
> > The original Distill product was tethered to a front-end (Tap), relied on rudimentary (and error-prone) processing of segments within the client. This made Distill difficult to maintain and required users to adopt tap, limiting their analytical use-cases with UserALE.js and Distill.
> >
> > Overall, I think that Distill provides a far more scaleable product to engage (and expand) our development community. I think this will add real value to Apache Flagon.
> >
> > Overhead/Actions prior to release:
> >
> > - Documentation builds will need be adjusted for a new repo/branch
> > - Additional documentation for a few analytical functions (i.e., click-rate)
> > - Minor tweaks to simply code in a few functions (i.e., click-rate)
> > - Some restructuring of Repo to consolidate and organize examples
> > - a few additional README’s should be added (i.e., examples /dir)
> >
> > IP Clearance
> >
> > The Software Grant is signed by Felicia Metz, esq. who is an Associate Director at the University of Maryland’s, UMD Ventures office, which has authority to release UMD IP. That makes accepting this grant significantly easier from an IP Clearance perspective.
> >
> > New Committers
> >
> > The UMD executed CCLA includes 5 new committers and potentially new PPMC members.
> >
> > Prior to initiating a VOTE on private@ I wanted to give the community an opportunity to chime in and ask questions. The New Committers listed are already subscribed to the dev list.
> >
> > Let’s take 72 hours to DISCUSS prior to a VOTE.
> >
> > Best,
> >
> > Josh
> >
> >
> > [1] https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill> <https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill>>
> > [2] https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor> <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>>
> > [3] https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/> <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>>
> > [4] https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb> <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>>
>
> --
> http://home.apache.org/~lewismc/ <http://home.apache.org/~lewismc/>
> http://people.apache.org/keys/committer/lewismc <http://people.apache.org/keys/committer/lewismc>
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by lewis john mcgibbney <le...@apache.org>.
Just VOTE’d.
Excellent community building.
lewismc
On Sat, Jun 4, 2022 at 17:42 Joshua Poore <po...@apache.org> wrote:
> Feel free to continue discussing. However, I have initiated a VOTE on
> private@ to accept the CCLA and Software Grant.
>
> > On May 31, 2022, at 9:49 PM, Joshua Poore <po...@apache.org> wrote:
> >
> > Hi All,
> >
> > I’m very excited to say that the University of Maryland has executed an
> CCLA with Software Grant for the Apache Flagon project!
> >
> > The Software Grant encompasses a refactor of the Apache Flagon Distill
> product, which has been deprecated for a few years now [1]
> >
> > This Grant includes ~150 new commits and thousands of new insertions
> (and a lot of deletions)
> >
> > At UMD my team and I re-thought Distill as a Python Package (for distro
> through PyPI) [2] that allows users to:
> >
> > - efficiently segment UserALE.js (or User Behavior Logs) data
> > - curate segments
> > - transform segments with logical operations (intersection, union, etc.)
> > - filter log data extracted from segments
> > - apply analytics (e.g., statistical, graphs) to data extracted from
> segments
> > - support graph-based visualization (funnel, sankey)
> >
> > Additionally:
> > - code is well documented [3]
> > - excellent working examples [4]
> >
> > Distill also provides examples for dashboards to visualize segments
> using both Apache Superset and Plotly/Dash
> >
> > The original Distill product was tethered to a front-end (Tap), relied
> on rudimentary (and error-prone) processing of segments within the client.
> This made Distill difficult to maintain and required users to adopt tap,
> limiting their analytical use-cases with UserALE.js and Distill.
> >
> > Overall, I think that Distill provides a far more scaleable product to
> engage (and expand) our development community. I think this will add real
> value to Apache Flagon.
> >
> > Overhead/Actions prior to release:
> >
> > - Documentation builds will need be adjusted for a new repo/branch
> > - Additional documentation for a few analytical functions (i.e.,
> click-rate)
> > - Minor tweaks to simply code in a few functions (i.e., click-rate)
> > - Some restructuring of Repo to consolidate and organize examples
> > - a few additional README’s should be added (i.e., examples /dir)
> >
> > IP Clearance
> >
> > The Software Grant is signed by Felicia Metz, esq. who is an Associate
> Director at the University of Maryland’s, UMD Ventures office, which has
> authority to release UMD IP. That makes accepting this grant significantly
> easier from an IP Clearance perspective.
> >
> > New Committers
> >
> > The UMD executed CCLA includes 5 new committers and potentially new PPMC
> members.
> >
> > Prior to initiating a VOTE on private@ I wanted to give the community
> an opportunity to chime in and ask questions. The New Committers listed are
> already subscribed to the dev list.
> >
> > Let’s take 72 hours to DISCUSS prior to a VOTE.
> >
> > Best,
> >
> > Josh
> >
> >
> > [1] https://github.com/apache/incubator-flagon-distill <
> https://github.com/apache/incubator-flagon-distill>
> > [2]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
>
> > [3]
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/
> <
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
>
> > [4]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> >
>
> --
http://home.apache.org/~lewismc/
http://people.apache.org/keys/committer/lewismc
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by lewis john mcgibbney <le...@apache.org>.
Just VOTE’d.
Excellent community building.
lewismc
On Sat, Jun 4, 2022 at 17:42 Joshua Poore <po...@apache.org> wrote:
> Feel free to continue discussing. However, I have initiated a VOTE on
> private@ to accept the CCLA and Software Grant.
>
> > On May 31, 2022, at 9:49 PM, Joshua Poore <po...@apache.org> wrote:
> >
> > Hi All,
> >
> > I’m very excited to say that the University of Maryland has executed an
> CCLA with Software Grant for the Apache Flagon project!
> >
> > The Software Grant encompasses a refactor of the Apache Flagon Distill
> product, which has been deprecated for a few years now [1]
> >
> > This Grant includes ~150 new commits and thousands of new insertions
> (and a lot of deletions)
> >
> > At UMD my team and I re-thought Distill as a Python Package (for distro
> through PyPI) [2] that allows users to:
> >
> > - efficiently segment UserALE.js (or User Behavior Logs) data
> > - curate segments
> > - transform segments with logical operations (intersection, union, etc.)
> > - filter log data extracted from segments
> > - apply analytics (e.g., statistical, graphs) to data extracted from
> segments
> > - support graph-based visualization (funnel, sankey)
> >
> > Additionally:
> > - code is well documented [3]
> > - excellent working examples [4]
> >
> > Distill also provides examples for dashboards to visualize segments
> using both Apache Superset and Plotly/Dash
> >
> > The original Distill product was tethered to a front-end (Tap), relied
> on rudimentary (and error-prone) processing of segments within the client.
> This made Distill difficult to maintain and required users to adopt tap,
> limiting their analytical use-cases with UserALE.js and Distill.
> >
> > Overall, I think that Distill provides a far more scaleable product to
> engage (and expand) our development community. I think this will add real
> value to Apache Flagon.
> >
> > Overhead/Actions prior to release:
> >
> > - Documentation builds will need be adjusted for a new repo/branch
> > - Additional documentation for a few analytical functions (i.e.,
> click-rate)
> > - Minor tweaks to simply code in a few functions (i.e., click-rate)
> > - Some restructuring of Repo to consolidate and organize examples
> > - a few additional README’s should be added (i.e., examples /dir)
> >
> > IP Clearance
> >
> > The Software Grant is signed by Felicia Metz, esq. who is an Associate
> Director at the University of Maryland’s, UMD Ventures office, which has
> authority to release UMD IP. That makes accepting this grant significantly
> easier from an IP Clearance perspective.
> >
> > New Committers
> >
> > The UMD executed CCLA includes 5 new committers and potentially new PPMC
> members.
> >
> > Prior to initiating a VOTE on private@ I wanted to give the community
> an opportunity to chime in and ask questions. The New Committers listed are
> already subscribed to the dev list.
> >
> > Let’s take 72 hours to DISCUSS prior to a VOTE.
> >
> > Best,
> >
> > Josh
> >
> >
> > [1] https://github.com/apache/incubator-flagon-distill <
> https://github.com/apache/incubator-flagon-distill>
> > [2]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
>
> > [3]
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/
> <
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
>
> > [4]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> >
>
> --
http://home.apache.org/~lewismc/
http://people.apache.org/keys/committer/lewismc
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by Joshua Poore <po...@apache.org>.
Feel free to continue discussing. However, I have initiated a VOTE on private@ to accept the CCLA and Software Grant.
> On May 31, 2022, at 9:49 PM, Joshua Poore <po...@apache.org> wrote:
>
> Hi All,
>
> I’m very excited to say that the University of Maryland has executed an CCLA with Software Grant for the Apache Flagon project!
>
> The Software Grant encompasses a refactor of the Apache Flagon Distill product, which has been deprecated for a few years now [1]
>
> This Grant includes ~150 new commits and thousands of new insertions (and a lot of deletions)
>
> At UMD my team and I re-thought Distill as a Python Package (for distro through PyPI) [2] that allows users to:
>
> - efficiently segment UserALE.js (or User Behavior Logs) data
> - curate segments
> - transform segments with logical operations (intersection, union, etc.)
> - filter log data extracted from segments
> - apply analytics (e.g., statistical, graphs) to data extracted from segments
> - support graph-based visualization (funnel, sankey)
>
> Additionally:
> - code is well documented [3]
> - excellent working examples [4]
>
> Distill also provides examples for dashboards to visualize segments using both Apache Superset and Plotly/Dash
>
> The original Distill product was tethered to a front-end (Tap), relied on rudimentary (and error-prone) processing of segments within the client. This made Distill difficult to maintain and required users to adopt tap, limiting their analytical use-cases with UserALE.js and Distill.
>
> Overall, I think that Distill provides a far more scaleable product to engage (and expand) our development community. I think this will add real value to Apache Flagon.
>
> Overhead/Actions prior to release:
>
> - Documentation builds will need be adjusted for a new repo/branch
> - Additional documentation for a few analytical functions (i.e., click-rate)
> - Minor tweaks to simply code in a few functions (i.e., click-rate)
> - Some restructuring of Repo to consolidate and organize examples
> - a few additional README’s should be added (i.e., examples /dir)
>
> IP Clearance
>
> The Software Grant is signed by Felicia Metz, esq. who is an Associate Director at the University of Maryland’s, UMD Ventures office, which has authority to release UMD IP. That makes accepting this grant significantly easier from an IP Clearance perspective.
>
> New Committers
>
> The UMD executed CCLA includes 5 new committers and potentially new PPMC members.
>
> Prior to initiating a VOTE on private@ I wanted to give the community an opportunity to chime in and ask questions. The New Committers listed are already subscribed to the dev list.
>
> Let’s take 72 hours to DISCUSS prior to a VOTE.
>
> Best,
>
> Josh
>
>
> [1] https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill>
> [2] https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
> [3] https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
> [4] https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by Austin Bennett <wh...@gmail.com>.
The details shared in the email sound great. Will follow up after reading
the links, in the event anything seems really concerning.
On Tue, May 31, 2022, 6:49 PM Joshua Poore <po...@apache.org> wrote:
> Hi All,
>
> I’m very excited to say that the University of Maryland has executed an
> CCLA with Software Grant for the Apache Flagon project!
>
> The Software Grant encompasses a refactor of the Apache Flagon Distill
> product, which has been deprecated for a few years now [1]
>
> This Grant includes ~150 new commits and thousands of new insertions (and
> a lot of deletions)
>
> At UMD my team and I re-thought Distill as a Python Package (for distro
> through PyPI) [2] that allows users to:
>
> - efficiently segment UserALE.js (or User Behavior Logs) data
> - curate segments
> - transform segments with logical operations (intersection, union, etc.)
> - filter log data extracted from segments
> - apply analytics (e.g., statistical, graphs) to data extracted from
> segments
> - support graph-based visualization (funnel, sankey)
>
> Additionally:
> - code is well documented [3]
> - excellent working examples [4]
>
> Distill also provides examples for dashboards to visualize segments using
> both Apache Superset and Plotly/Dash
>
> The original Distill product was tethered to a front-end (Tap), relied on
> rudimentary (and error-prone) processing of segments within the client.
> This made Distill difficult to maintain and required users to adopt tap,
> limiting their analytical use-cases with UserALE.js and Distill.
>
> Overall, I think that Distill provides a far more scaleable product to
> engage (and expand) our development community. I think this will add real
> value to Apache Flagon.
>
> Overhead/Actions prior to release:
>
> - Documentation builds will need be adjusted for a new repo/branch
> - Additional documentation for a few analytical functions (i.e.,
> click-rate)
> - Minor tweaks to simply code in a few functions (i.e., click-rate)
> - Some restructuring of Repo to consolidate and organize examples
> - a few additional README’s should be added (i.e., examples /dir)
>
> IP Clearance
>
> The Software Grant is signed by Felicia Metz, esq. who is an Associate
> Director at the University of Maryland’s, UMD Ventures office, which has
> authority to release UMD IP. That makes accepting this grant significantly
> easier from an IP Clearance perspective.
>
> New Committers
>
> The UMD executed CCLA includes 5 new committers and potentially new PPMC
> members.
>
> Prior to initiating a VOTE on private@ I wanted to give the community an
> opportunity to chime in and ask questions. The New Committers listed are
> already subscribed to the dev list.
>
> Let’s take 72 hours to DISCUSS prior to a VOTE.
>
> Best,
>
> Josh
>
>
> [1] https://github.com/apache/incubator-flagon-distill <
> https://github.com/apache/incubator-flagon-distill>
> [2]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
>
> [3]
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/
> <
> https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
>
> [4]
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb
> <
> https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>
>
Re: [DISCUSS] Accept UMD Software Grant into Apache Flagon
Posted by Joshua Poore <po...@apache.org>.
Feel free to continue discussing. However, I have initiated a VOTE on private@ to accept the CCLA and Software Grant.
> On May 31, 2022, at 9:49 PM, Joshua Poore <po...@apache.org> wrote:
>
> Hi All,
>
> I’m very excited to say that the University of Maryland has executed an CCLA with Software Grant for the Apache Flagon project!
>
> The Software Grant encompasses a refactor of the Apache Flagon Distill product, which has been deprecated for a few years now [1]
>
> This Grant includes ~150 new commits and thousands of new insertions (and a lot of deletions)
>
> At UMD my team and I re-thought Distill as a Python Package (for distro through PyPI) [2] that allows users to:
>
> - efficiently segment UserALE.js (or User Behavior Logs) data
> - curate segments
> - transform segments with logical operations (intersection, union, etc.)
> - filter log data extracted from segments
> - apply analytics (e.g., statistical, graphs) to data extracted from segments
> - support graph-based visualization (funnel, sankey)
>
> Additionally:
> - code is well documented [3]
> - excellent working examples [4]
>
> Distill also provides examples for dashboards to visualize segments using both Apache Superset and Plotly/Dash
>
> The original Distill product was tethered to a front-end (Tap), relied on rudimentary (and error-prone) processing of segments within the client. This made Distill difficult to maintain and required users to adopt tap, limiting their analytical use-cases with UserALE.js and Distill.
>
> Overall, I think that Distill provides a far more scaleable product to engage (and expand) our development community. I think this will add real value to Apache Flagon.
>
> Overhead/Actions prior to release:
>
> - Documentation builds will need be adjusted for a new repo/branch
> - Additional documentation for a few analytical functions (i.e., click-rate)
> - Minor tweaks to simply code in a few functions (i.e., click-rate)
> - Some restructuring of Repo to consolidate and organize examples
> - a few additional README’s should be added (i.e., examples /dir)
>
> IP Clearance
>
> The Software Grant is signed by Felicia Metz, esq. who is an Associate Director at the University of Maryland’s, UMD Ventures office, which has authority to release UMD IP. That makes accepting this grant significantly easier from an IP Clearance perspective.
>
> New Committers
>
> The UMD executed CCLA includes 5 new committers and potentially new PPMC members.
>
> Prior to initiating a VOTE on private@ I wanted to give the community an opportunity to chime in and ask questions. The New Committers listed are already subscribed to the dev list.
>
> Let’s take 72 hours to DISCUSS prior to a VOTE.
>
> Best,
>
> Josh
>
>
> [1] https://github.com/apache/incubator-flagon-distill <https://github.com/apache/incubator-flagon-distill>
> [2] https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor <https://github.com/UMD-ARLIS/incubator-flagon-distill/tree/distill_toolkit_refactor>
> [3] https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/ <https://incubator-flagon-distill.readthedocs.io/en/distill_toolkit_refactor/>
> [4] https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb <https://github.com/UMD-ARLIS/incubator-flagon-distill/blob/distill_toolkit_refactor/examples/Segments_Demo.ipynb>