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Incubator PMC report for May 2019

The Apache Incubator is the entry path into the ASF for projects and
codebases wishing to become part of the Foundation's efforts.

< narrative >

* Community

New IPMC members:




People who left the IPMC:




* New Podlings




* Podlings that failed to report, expected next month




* Graduations

The board has motions for the following:

- Your podling here?
- Your podling here?

* Releases

The following releases entered distribution during the month of
April:


* IP Clearance




* Legal / Trademarks




* Infrastructure




* Miscellaneous




* Credits

|----------------------------------------------------------------------
Table of Contents
brpc
DataSketches
Doris
ECharts
Edgent
Heron
Milagro
MXNet
PageSpeed
Pinot
Ratis
S2Graph
SDAP
Tamaya
Toree
Training
Tuweni
TVM

|----------------------------------------------------------------------

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How would you assess the podling's maturity?
Please feel free to add your own commentary.

[ ] Initial setup
[X] Working towards first release
[X] Community building
[ ] Nearing graduation
[ ] Other:

Date of last release:

XXXX-XX-XX

When were the last committers or PPMC members elected?

  4 new committers were elected and invited in Feb 2019.


Have your mentors been helpful and responsive or are things falling
through the cracks? In the latter case, please list any open issues
that need to be addressed.

Dave has been helpful on answering questions and voting for releases.


Signed-off-by:

[ ](heron) Jake Farrell
Comments:
[ ](heron) Julien Le Dem
Comments:
[ ](heron) P. Taylor Goetz
Comments:
[X](heron) Dave Fisher
Comments:
IPMC/Shepherd notes:
--------------------
Milagro
Distributed Cryptography; M-Pin protocol for Identity and Trust
Milagro has been incubating since 2015-12-21.
Three most important unfinished issues to address before graduating:
1.
2.
3.
Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?
How has the community developed since the last report?
How has the project developed since the last report?
How would you assess the podling's maturity?
Please feel free to add your own commentary.
[ ] Initial setup
[ ] Working towards first release
[ ] Community building
[ ] Nearing graduation
[ ] Other:
Date of last release:
XXXX-XX-XX
When were the last committers or PPMC members elected?
Have your mentors been helpful and responsive or are things falling
through the cracks? In the latter case, please list any open issues
that need to be addressed.
Signed-off-by:
[ ](milagro) Nick Kew
Comments:

IPMC/Shepherd notes:




--------------------
MXNet

A Flexible and Efficient Library for Deep Learning

MXNet has been incubating since 2017-01-23.

Three most important unfinished issues to address before graduating:

1. Increase diversity in contributors, committers, and PMC members — NEAR COMPLETION.
2. Identify remaining ICLAs or SGAs that need signing – NEAR COMPLETION.
3. Revisit Apache Maturity Model Assessment — TODO

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?
1. Community reached consensus on Gluon branding. In the context of the Gluon API in MXNet, it would be mentioned as MXNet Gluon. https://lists.apache.org/thread.html/af7dcb430e2cedf23d1531e79877e8bf2b40ec392e40853a2d7015da@%3Cdev.mxnet.apache.org%3E
2. Community addressed the IP/licensing issues discovered during previous releases. Updated status can be found here: https://cwiki.apache.org/confluence/display/MXNET/MXNet+Source+Licenses 
3. MXNet has significant user presence in China that are worth optimizing for in terms of infrastructure. Setting up CDN in China requires ICP filing.

How has the community developed since the last report?
* The number of GitHub contributors increased to currently 682 (2019-04-22; +4.4% since last report)
* Active discussions on user forums
  https://discuss.mxnet.io/ (English, 1.6K registered users and 5.6K posts)
  https://discuss.gluon.ai/ (Chinese, 6K registered users and 19.2K posts)
* Active blogs and social media presence
  Medium (https://medium.com/apache-mxnet) w/ 1.3k followers (+30% since last report).
  Twitter account (https://twitter.com/ApacheMXNet) w/ 2k followers on (+16% since last report)
  Meetup group (https://www.meetup.com/pro/deep-learning-with-apache-mxnet/) w/ 10 groups in 8 countries, 1998 members (+65% since last report)
  (in China) Zhihu w/ 7.5k followers, WeChat official account w/ 3k followers. (reported for the first time)
* Active video channels
  YouTube channel (https://www.youtube.com/apachemxnet) w/ 627 subscriber (+29% since last report)
  Chinese YouTube channel (https://www.youtube.com/channel/UCjeLwTKPMlDt2segkZzw2ZQ) w/ 4.1k subscribers (reported for the first time)
  (in China) bilibili space (https://space.bilibili.com/209599371) w/ 13k subscriber (reported for the first time)
* Highlights in MXNet ecosystem
  MXNet Gluon book (www.d2l.ai, Dive into Deep Learning/D2L) released v1.0.0-rc0 (https://github.com/d2l-ai/d2l-zh/releases/tag/v1.0.0-rc0) in Chinese and v0.6.0 (https://github.com/d2l-ai/d2l-en/releases/tag/v0.6.0) in English. Dive into Deep Learning has 47.5K 28-day active users, and has attracted 9.3K stars & 200+ contributors on GitHub. It has been adopted as a textbook or reference book by 15+ universities in U.S., China, Spain, and Australia, such as UC Berkeley.
  GluonCV v0.4.0 release (https://github.com/dmlc/gluon-cv/releases/tag/v0.4.0)
  GluonNLP v0.6.0 release (https://github.com/dmlc/gluon-nlp/releases/tag/v0.6.0)
  MXNet Model Server v1.0.2 release (https://github.com/awslabs/mxnet-model-server/releases/tag/v1.0.2)
  GluonFace (https://github.com/THUFutureLab/gluon-face)
  DeepInsight (https://github.com/deepinsight/insightface)

How has the project developed since the last report?
1) Released v1.4.0: https://github.com/apache/incubator-mxnet/releases/tag/1.4.0; https://blogs.apache.org/mxnet/entry/apache-mxnet-1-4-is1
2) Started v1.4.1 patch release https://lists.apache.org/thread.html/3bb49a1016fafd0840d14f099ce47c7a1822da45f7ca2187c0f03c64@%3Cdev.mxnet.apache.org%3E; Started roadmap discussion on short-term 1.5.0 release https://github.com/apache/incubator-mxnet/issues/14619; Started roadmap discussion on long-term 2.0 plan https://github.com/apache/incubator-mxnet/issues/9686;
3) Code donation from dmlc/mshadow. Community expressed the desire to assimilate dmlc/mshadow code base into mxnet. https://lists.apache.org/thread.html/c1ba34330b0eb52ef3a3a30da6d34964a35a01c320e93067e94ed306@%3Cdev.mxnet.apache.org%3E. After discussion, DMLC reached agreement to donate dmlc/mshadow code to mxnet, which is its sole consumer.
4) Many ongoing projects: numpy-compatbile deep learning: https://github.com/apache/incubator-mxnet/projects/14; CPU performance and quantization: https://github.com/apache/incubator-mxnet/projects/15; Mixed precision GPU training (AMP): https://github.com/apache/incubator-mxnet/pull/14173, etc.
5) Github statistics of last month:
* March 24, 2019 – April 24, 2019: Excluding merges, 53 authors have pushed 102 commits to master and 137 commits to all branches. On master, 495 files have changed and there have been 14,977 additions and 5,391 deletions.

How would you assess the podling's maturity?
Please feel free to add your own commentary.

[x] Initial setup
[x] Working towards first release
[x] Community building
[x] Nearing graduation

Date of last release:
2019-03-04 MXNet 1.4.0

When were the last committers or PPMC members elected?

...