Incubator PMC report for July 2018

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

There are presently 52 podlings incubating. During the month of June,
podlings executed 6 distinct releases and there are several ongoing votes 
and releases for July.  We added no new IPMC members. No podlings are 
graduating this month but there's dicussion about HAWQ graduating, and
many are heading towards graduation. We had one project, AriaTosca,
retire to the attic. There were no IP clearances.

A number of podlings didn't report and that may be due to less reminders
sent out this month. The three podlings that failed to report last month
also failed to report this month. Two (Druid and Spot) to why last month,
lack of activity and response from Pony Mail is concerning. 

Of note in June on the list there was discussions on
  - retirement and what to do with gitHub/gitbox repos
  - Gossip exiting the incubator

* Community

  New IPMC members:

  - None

  People who left the IPMC:

  - None

* New Podlings

  - Doris

* Podlings that failed to report, expected next month
  
  - Airflow
  - Annotator
  - BatchEE
  - Druid
  - Gossip
  - Milagro
  - Pony Mail
  - S2Graph
  - SensSoft
  - Spot

* Graduations

  - None

* Releases

  The following releases entered distribution during the month of
  June:
   - 2018/07/02 Goblin 0.12.0
   - 2018/06/22 Servicecomb 1.0
   - 2018/06/17 Pulsar 1.22.1
   - 2018/06/15 Singa 1.2.0
   - 2018/06/07 Traffic Control 2.2.0
   - 2018/06/05 Dubbo 2.6.2
   
  The Traffic Control release seems odd as they are a TLP. I'll follow up on 
that.

* IP Clearance

  None

* Legal / Trademarks

  None

* Infrastructure

  None

* Miscellaneous

  None

* Credits

----------------------------------------------------------------------
                       Table of Contents
Amaterasu
Gobblin
Gossip
HAWQ
Livy
MXNet
NetBeans
ODF Toolkit
PLC4X
Rya
ServiceComb
Traffic Control
Weex

----------------------------------------------------------------------
--------------------
Amaterasu

Apache Amaterasu is a framework providing configuration management and 
deployment for Big Data Pipelines.

It provides the following capabilities:

Continuous integration tools to package pipelines and run tests.
A repository to store those packaged applications: the applications 
repository.
A repository to store the pipelines, and engine configuration (for instance, 
the location of the Spark master, etc.): per environment - the configuration 
repository.
A dashboard to monitor the pipelines.
A DSL and integration hooks allowing third parties to easily integrate.

Amaterasu has been incubating since 2017-09.

Three most important issues to address in the move towards graduation:

  1. Prepare the first release
  2. Grow up user and contributor communities
  3. Prepare documentation

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  None

How has the community developed since the last report?

  * Two conference talks have been delivered (PyCon il and SDP)
  * Initial documentation has been created, targeted for Amaterasu's next 
release

How has the project developed since the last report?

  * since the last report 4 release candidates have been have been built and 
voted upon, at the time of this report the last RC (4) has passed the vote 
on in the general@incubator mailing list 
  * Two additional contributors started contributing to the code base
  * One more organization we are aware of have started a POC with Amaterasu
 
Date of the last release:

  N/A

When were the last committers or PMC members elected?

  N/A

Signed-off-by:

  [X](amaterasu) Jean-Baptiste Onofré
     Comments:
  [ ](amaterasu) Olivier Lamy
     Comments:
  [X](amaterasu) Davor Bonaci
     Comments: Activity has picked up recently, and the first release is 
coming. That said, I think the community is not developing fast enough to 
suggest a good fit for the Foundation. I have general concerns whether the 
project can graduate and how quickly.

IPMC/Shepherd notes:

--------------------
Gobblin

Gobblin is a distributed data integration framework that simplifies common
aspects of big data integration such as data ingestion, replication,
organization and lifecycle management for both streaming and batch data
ecosystems.

Gobblin has been incubating since 2017-02-23.

Three most important issues to address in the move towards graduation:

    1. Make frequent releases

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  No

How has the community developed since the last report?

* Various major components and futuristic features are being driven by the 
community 
  (non-committers) thus building a very healthy pool of contributors that 
can be voted 
  in as committers. 
* Continued growth in engagement over Gitter IRC, and mailing lists.
* 79% of commits (a record in Gobblin community) were from non-committer 
contributors.
* Email stats since last report:
  user@gobblin.incubator.apache.org : 44 dev@gobblin.incubator.apache.org : 
200
* There have been 66 Commits since last report:
    git log --format='%ci' | grep -cE '(2018-0(4|5|6|7))'
* 52 ie. 79% of those commits were by non-committers:
   git log --format='%ae %ci' | grep -E '(2018-0(4|5|6|7))' | cut -d ' ' -f 1
   | sort | uniq -c | sort -n
* Recurring video conference based meetup has been happening every month 
with a 
  healthy attendance.
* Gobblin was presented and well received in various meetups / conferences 
  around the world (independently by Apache community members).

How has the project developed since the last report?

* Major progress in Gobblin's evolution as Platform-as-a-Service - being 
driven 
  by couple of non-committers. 
* Comprehensive work being driven by a non-committer for stability of 
Gobblin 
  cluster at extreme scale. 
* Enhancements to key integrations such as Salesforce, Couchbase, Kafka, 
etc. 
* Addition of features for compliance and security. Increased adoption in 
this 
  area by the community (for critical use-cases such as GDPR). 
* Release 0.12.0 done. 

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

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

Date of last release:

  2018-07-02 

When were the last committers or PPMC members elected?

  Joel Baranick in December, 2017. 

Signed-off-by:

  [X](gobblin) Jean-Baptiste Onofre
     Comments:
  [X](gobblin) Olivier Lamy
     Comments:
  [X](gobblin) Jim Jagielski
     Comments:

IPMC/Shepherd notes:

--------------------
Gossip

Gossip is an implementation of the Gossip Protocol.

Gossip has been incubating since 2016-04-28.

Three most important issues to address in the move towards graduation:

  1.
  2.
  3.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

We opened up a discussion thread to move Gossip out of the incubator. It was 
initially -1 ed by a 
committer. There is a separate discussion on the main incubator list about 
our lack of timely
reporting. After a short discussion we agreed we not want to be an undue 
burden and wanted
to give the IPMC time back so they can follow up with the other podlings. 
We will take an official vote on Monday to close down the podling.
 
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?

Signed-off-by:

  [ ](gossip) P. Taylor Goetz
     Comments:
  [x](gossip) Josh Elser
     Comments: Still trying to encourage retirement. The ASF and its 
processes are more of a burden than a boon at this point.
  [ ](gossip) Drew Farris
     Comments:

IPMC/Shepherd notes:
There is a discussion on dev@ about retirement of this podling.
https://lists.apache.org/thread.html/8acab107a15a6bc50253cb20aa633a3ac36b7036
4294f149660fc6c4@%3Cdev.gossip.apache.org%3E
Dave Fisher

--------------------
HAWQ

HAWQ is an advanced enterprise SQL on Hadoop analytic engine built around a
robust and high-performance massively-parallel processing (MPP) SQL engine
evolved from Greenplum Database.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

    Nothing at this time.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware
of?

     Nothing urgent at this time.

How has the community developed since the last report?

1. Conference Talks :

* HAWQ for data scientists,  Shanghai CIO forum (Speaker: Lei Chang,  June 
23, 2018)
 

2.  "Graduate Apache HAWQ (incubating) as a TLP" discussion was started: 
https://lists.apache.org/thread.html/67a2d52ef29cbf9e93d8050ed0193cc110a91996
2dd92f8436b343b7@%3Cdev.hawq.apache.org%3E

The followings is the content of the thread:

With the 2.3.0.0-incubating release officially out, the Apache HAWQ
community and its mentors believe it is time to consider graduation to the
TLP:
https://lists.apache.org/thread.html/b4a0b5671ce377b3d51c9b7
ab00496a1eebfcbf1696ce8b67e078c64@%3Cdev.hawq.apache.org%3E

Apache HAWQ entered incubation in September of 2015, since then, the HAWQ
community learned a lot about how to do things in Apache ways. Now we have
a healthy and engaged community, ready to help with all questions from the
HAWQ community. We delivered four releases including two binary releases,
now we can do self-driving releases in good cadence. The PPMC has
demonstrated a good understanding of growing the community by electing 12
individuals as committers and PPMC members. The PPMC addressed the maturity
issues one by one followed by Apache Project Maturity Model, currently all
the License and IP issues are resolved. This demonstrated our understanding
of ASF's IP policies.

All in all, I believe this project is qualified as a true TLP and we should
recognize this fact by formally awarding it such a status. This thread
means to open up the very same discussion that we had among the mentors and
HAWQ community to the rest of the IPMC. It is a DISCUSS thread so feel free
to ask questions.

To get you all going, here are a few data points which may help:

Project status:
http://incubator.apache.org/projects/hawq.html

Project website:
http://hawq.incubator.apache.org/

Project documentation:
http://hawq.incubator.apache.org/docs/userguide/2.3.0.0-inc
ubating/overview/HAWQOverview.html
http://hawq.apache.org/#download

Maturity assessment:
https://cwiki.apache.org/confluence/display/HAWQ/ASF+Maturity+Evaluation

DRAFT of the board resolution is at the bottom of this email

Proposed PMC size: 45 members

Total number of committers: 45 members

PMC affiliation (* indicated chair):
Pivotal (20)
* Oushu (7)
Amazon (3)
Hashdata (2)
Autonomic (1)
Confluent (1)
Datometry (1)
Hortonworks (1)
Microsoft (1)
PETUUM (1)
Privacera (1)
Qubole (1)
Snowflake (1)
State Street (1)
Unifi (1)
Visa (1)
ZEDEDA (1)

1549 commits on develop
1375 PR”s on GitHub
63 contributors across all branches

1624 issues created
1350 issues resolved

dev list averaged ~53 msgs/month over last 12 months
user list averaged ~6 msgs/month over last 12 months
129 unique posters

committer affiliations:
active
pivotal.io
oushu.io
hashdata.cn
occasional
amazon.com
autonomic.ai
confluent.io
datometry.com
hortonworks.com
microsoft.com
petuum.com
privacera.com
qubole.com
snowflake.net
statestreet.com
unifisoftware.com
visa.com
zededa.com

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

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

Date of last release:

2018-03-12, Apache HAWQ 2.3.0.0

When were the last committers or PPMC members elected?

1) Lav Jain: April 5, 2018 
2) Shubham Sharma: April 5, 2018

Signed-off-by:

  [X](hawq) Alan Gates
     Comments:
  [ ](hawq) Justin Erenkrantz
     Comments:
  [ ](hawq) Thejas Nair
     Comments:
  [X](hawq) Roman Shaposhnik
     Comments:

IPMC/Shepherd notes:

--------------------
Livy

Livy is web service that exposes a REST interface for managing long running
Apache Spark contexts in your cluster. With Livy, new applications can be
built on top of Apache Spark that require fine grained interaction with many
Spark contexts.

Livy has been incubating since 2017-06-05.

Three most important issues to address in the move towards graduation:

  1. Grow the community to have more activities.
  2. Grow more contributors and committers.
  3. Regular release.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

None

How has the community developed since the last report?

Activity on the dev and user mailing lists as well as the rate of reported
JIRA issues has stayed steady.

How has the project developed since the last report?

Two security issues are fixed and support version is upgraded to Spark 2.3.1.

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

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

Date of last release:

  2018-02-06

When were the last committers or PPMC members elected?

  2017-09-18

Signed-off-by:

  [X](livy) Bikas Saha
     Comments:
  [ ](livy) Brock Noland
     Comments:
  [ ](livy) Luciano Resende
     Comments:
  [X](livy) Jean-Baptiste Onofre
     Comments:

IPMC/Shepherd notes:

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

Apache MXNet is a lean, flexible, and ultra-scalable deep learning framework 
that supports state of the art in deep learning models, including 
convolutional neural networks (CNNs) and long short-term memory networks 
(LSTMs). The framework has its roots in academia and came about through the 
collaboration and contributions of researchers at several top universities. 
It has been designed to excel at computer vision, speech, language 
processing and understanding, generative models, concurrent neural networks, 
and recurrent neural networks. MXNet allows you to define, train, and deploy 
networks across a wide array of use cases from massive cloud infrastructure 
to mobile and connected devices. It provides a very flexible environment 
with support for many common languages and the ability to utilize both 
imperative and symbolic programming constructs. MXNet also very lightweight. 
This allows it to scale across multiple GPUs and multiple machines very 
efficiently, which is beneficial when conducting training on large datasets 
in the cloud.
 
Apache MXNet has been incubating since 23-Jan, 2017.
 
Four most important issues to address in the move towards graduation:
 
1.	Establish a predictable release process consistent with Apache Way 
-- ESTABLISHED.
2.	Grow the community -- ONGOING.
3.	Bring website up to Apache standard – COMPLETED.
4.	Identify remaining ICLAs or SGAs that need signing – NEAR COMPLETION.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware 
of?
 
   None
 
How has the community developed since the last report?
 
a)	Various Slack channels, dev@ mailing lists, and user discussion 
forums (http://discuss.mxnet.io) are being used actively. The contributors 
have been working on having all discussions on the public dev@ mailing list 
as much as possible. At least one of the discussions infringed on Apache 
code of conduct and mentors had to step in and provide guidance to the 
community. 

b) After lengthy discussion the community agreed to establish 
user@mxnet.incubator.apache.org with the goal to increase users as well as 
grow the contributor community.

c)	Community events: 
- In April the community organized the first MXNet meetup in Seattle. We had 
over 100 attendees, 15% from outside Amazon. 
- In May the community organized a virtual hangout with two sessions to 
collect feedback and ideas from the community.
- Korean MXNet community is growing well and most of contributors are 
outside of Amazon: 
https://www.meetup.com/ko-KR/MXNet-Korea-User-Group/events/248531181/ . The 
Facebook group has 530 members in https://www.facebook.com/groups/mxnetkr
- Community members presented at 
https://www.meetup.com/Artificial-Intelligence-in-Practice/events/250882931/?
_xtd=gqFyqDI5NDE5MTUyoXCkaXBhZA&from=ref 
- Community members presented at meetups in Vancouver (link see under 
Webinars)
- Community members presented Intro to Amazon SageMaker with a sentiment 
analysis demo using MXNet and Gluon at AWS Loft ML Day in SF on 6-19 to ~150 
attendees
- Community members presented Model serving with Model Server for MXNet at 
AWS Loft ML Day in SF on 6-19 to ~150 attendees
- A committer presented Distributed inference with Spark and MXNet at Apache 
Roadshow in Berlin, 13-14 June (talk abstract - 
https://foss-backstage.de/session/distributed-inference-using-apache-mxnet-an
d-apache-spark)
- A committer presented Distributed inference with Spark and MXNet at 
Spark+AI in SF,  ~100 attendees (https://databricks.com/speaker/naveen-swamy)
- Community members presented Model serving with MXNet at dotAI conference 
in Paris, France, ~300 attendees, May 30 
(https://www.dotconferences.com/2018/05/hagay-lupesko-model-serving-for-deep-
learning)
- Community members presented ONNX with MXNet demo at prepareAI conference 
in St Louis, May 8, ~100 attendees 
(http://prepare.ai/conference/conference-agenda-details/)
- Community members presented Model serving with MXNet at prepareAI 
conference in St Louis, May 8, ~100 attendees 
(http://prepare.ai/conference/conference-agenda-details/)
- Community members presented Introduction to deep learning with MXNet and 
Gluon, distinguished lecture, at BGU university in Israel, April 10, ~100 
attendees (lhttps://www.cs.bgu.ac.il/~frankel/Lupesko/Lupesko.pdf)
- Community members presented Model serving with MXNet at AI IL meetup in 
Tel Aviv, Israel, ~50 attendees 
(https://www.meetup.com/artificial-intelligence-il/events/249312879/)

d)	Blogs about MXNet: We established MXNet blog: 
https://medium.com/apache-mxnet. As of today, the blog has 634 followers and 
16 blogs published. Additionally, blogs have been publish related or about 
MXNet at:
- 
https://aws.amazon.com/blogs/machine-learning/category/artificial-intelligenc
e/apache-mxnet-on-aws/ 
- https://blogs.technet.microsoft.com/machinelearning/tag/mxnet
- https://zh.mxnet.io/blog/
- https://blogs.apache.org/mxnet 
- https://github.com/chinakook/Awesome-MXNet 
- 
https://medium.com/mlreview/10-deep-learning-projects-based-on-apache-mxnet-8
231109f3f64 
- 
https://medium.com/datreeio/training-with-keras-mxnet-on-amazon-sagemaker-43a
34bd668ca 
- 
https://medium.com/@julsimon/a-quick-look-at-the-swish-activation-function-in
-apache-mxnet-1-2-79d9ff9d1673 
- http://gigasquidsoftware.com/blog/2018/06/03/meet-clojure-mxnet-ndarray/ 
- 
https://dzone.com/articles/ingesting-apache-mxnet-gluon-deep-learning-results
- 
https://becominghuman.ai/an-introduction-to-the-mxnet-api-part-1-848febdcf8ab
- https://cosminsanda.com/posts/counting-object-with-mxnet-and-sagemaker/
- CVPR 2018 paper – Relation Networks for Object Detection - 
https://arxiv.org/abs/1711.11575 and 
https://github.com/msracver/Relation-Networks-for-Object-Detection
- Gluon-CV related blogpost - 
https://dzone.com/articles/using-apache-mxnet-gluoncv-with-apache-nifi
- 
https://aws.amazon.com/blogs/machine-learning/maximize-training-performance-w
ith-gluon-data-loader-workers/
- 
https://medium.com/apache-mxnet/accelerating-deep-learning-on-cpu-with-intel-
mkl-dnn-a9b294fb0b9
- 
https://medium.com/apache-mxnet/mxnet-for-pytorch-users-in-10-minutes-a735386
3406a
- 
https://medium.com/apache-mxnet/gluoncv-deep-learning-toolkit-for-computer-vi
sion-9218a907e8da
- 
https://medium.com/apache-mxnet/mxboard-mxnet-data-visualization-2eed6ae31d2c
- https://medium.com/apache-mxnet/mxnet-gluon-in-60-minutes-3d49eccaf266
- https://medium.com/apache-mxnet/announcing-apache-mxnet-1-2-0-d94f56da154b
- 
https://medium.com/apache-mxnet/mxnet-1-2-adds-built-in-support-for-onnx-e2c7
450ffc28 
- 
https://aws.amazon.com/blogs/machine-learning/the-importance-of-hyperparamete
r-tuning-for-scaling-deep-learning-training-to-multiple-gpus/
- 
https://medium.com/apache-mxnet/image-classification-with-mxnet-scala-inferen
ce-api-8ab6ce1bbccf
- 
https://medium.com/apache-mxnet/object-detection-with-mxnet-scala-inference-a
pi-9049230c77fd
- 
https://medium.com/apache-mxnet/scala-api-for-deep-learning-inference-now-ava
ilable-with-mxnet-v1-2-bcb13235db95
- 
https://medium.com/apache-mxnet/train-using-keras-mxnet-and-inference-using-m
xnet-scala-api-49476a16a46a
- https://medium.com/apache-mxnet/page-segmentation-with-gluon-dcb4e5955e2
- https://medium.com/apache-mxnet/announcing-keras-mxnet-v2-2-4b8404568e75
- https://devblogs.nvidia.com/tensor-core-ai-performance-milestones/
- 
https://aws.amazon.com/blogs/machine-learning/use-pre-trained-models-with-apa
che-mxnet/

e)	Webinars, Technical talks and lectures about MXNet:
- Thomas Delteil presented at meetups in Vancouver: 
https://www.youtube.com/watch?v=RgIa3_BjGyk&t=163s , 
https://www.youtube.com/watch?v=mN15vKIyfoA and 
https://www.youtube.com/watch?v=K120xBnY6OA 
- Gluon debugging: https://www.youtube.com/watch?v=6-dOoJVw9_0
- TVM stack: https://www.youtube.com/watch?v=DaCPJrTwT00
- https://mxnet.incubator.apache.org/tutorials/vision/cnn_visualization.html
- visual search: https://www.youtube.com/watch?v=9a8MAtfFVwI
- Cifar 10 super convergence: https://www.youtube.com/watch?v=O0XTkQPkUio
- Sparse Tensors: https://www.youtube.com/watch?v=smZfsYhDFkY
- Mixed precission training with MXNet: 
https://www.youtube.com/watch?v=pR4KMh1lGC0
- See all videos on https://www.youtube.com/apachemxnet - 
- Thomas Delteil presented a lecture on MXNet Gluon and Deep Learning at the 
Machine Learning Summer School in Buenos Aires in front of 170 students. 
http://mlss2018.net.ar/

How has the project developed since the last report?
 
a)	The community released MXNet 1.2 with significant feature 
enhancements:
1.	Scala Inference API
2.	ONNX model import 
3.	Model Quantization with calibration
4.	MKL-DNN Integration
5.	Improved exception handling for operators
6.	Enhanced FP16 support
7.	Profiling enhancements
Detailed release notes are provided on Apache Wiki and Github. 
See 
https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+%28incubating%
29+1.2.0+Release+Notes

b)	Github: In April the project had 523 contributors. Excluding merges, 
62 authors have pushed 199 commits to master and 258 commits to all 
branches. In May the project had 531 contributors. Excluding merges, 55 
authors have pushed 141 commits to master and 177 commits to all branches. 
In June the project had 550 contributors. Excluding merges, 66 authors have 
pushed 171 commits to master and 221 commits to all branches. We are working 
on encourage more contributors to the project.
b)	The community voted to adopted Jira for issue management. The change 
is methodology is partially adopted. On June 8th a committer started a vote 
to stop using Jira which created a passionate debate and is still ongoing. 
c)	List of design proposals published on MXNet Apache Wiki : All design 
proposals have been or are being discussed on dev@mxnet.apache.org. Four 
design proposals originated from external contributors. See 
https://cwiki.apache.org/confluence/display/MXNET/Design+Proposals.`

d)	Ecosystem development:
1.	MXNet Model Serving: 
- Repo: https://github.com/awslabs/mxnet-model-server
- 
https://medium.com/apache-mxnet/model-server-for-apache-mxnet-adds-support-fo
r-gluon-models-dd398a710f94

2.	ONNX support
- Repo: https://github.com/onnx/model-zoo
- Repo: https://github.com/onnx/models
- 
https://medium.com/apache-mxnet/mxnet-1-2-adds-built-in-support-for-onnx-e2c7
450ffc28

3.	Keras: The community release MXNet backend for Keras, a high level 
API for deep learning. 
- Repo - https://github.com/awslabs/keras-apache-mxnet/
- 
https://medium.com/@julsimon/apache-mxnet-as-a-backend-for-keras-2-9993f97843
e7
- https://medium.com/apache-mxnet/announcing-keras-mxnet-v2-2-4b8404568e75
- 
https://aws.amazon.com/blogs/machine-learning/apache-mxnet-incubating-adds-su
pport-for-keras-2/
- 
https://medium.com/apache-mxnet/keras-gets-a-speedy-new-backend-with-keras-mx
net-3a853efc1d75

e)	Documentation: We continue to improve the documentation on 
Architecture guides, How To’s, Tutorials, and APIs continue to be improved. 
43 new public tutorials related and about MXNet have been published YTD. 
- https://thomasdelteil.github.io/CNN_NLP_MXNet/
- https://gluon-crash-course.mxnet.io/
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/python/t
ypes_of_data_augmentation.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/python/d
ata_augmentation_with_masks.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/gluon/da
tasets.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/onnx/inf
erence_on_onnx_model.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/onnx/fin
e_tuning_gluon.md
- 
https://aws.amazon.com/blogs/machine-learning/speeding-up-apache-mxnet-using-
the-nnpack-library/
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/python/d
ata_augmentation.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/gluon/da
ta_augmentation.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/gluon/na
ming.md
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/gluon/cu
stom_layer.md
- https://github.com/ThomasDelteil/VisualSearch_MXNet
- 
https://github.com/apache/incubator-mxnet/blob/master/docs/tutorials/gluon/pr
etrained_models.md
- https://mxnet.incubator.apache.org/tutorials/gluon/save_load_params.html
- http://mxnet.incubator.apache.org/tutorials/python/profiler.html
- 

How would you assess the podling's maturity?
 
   Podling is still having difficulties to grow the contributor and 
committer community. Maturity == Low to Medium.
  
Please feel free to add your own commentary.
 
  [  ] Initial setup
  [  ] Working towards first release
  [X] Community building
  [  ] Nearing graduation
  [  ] Other
 
Date of last release: (latest to oldest releases)
1.	Apache MXNet-incubating 1.2.0 (major release) was published on May 
21 2018 - https://github.com/apache/incubator-mxnet/releases/tag/1.2.0 

When were the last committers or PPMC members elected?
 
During the reporting period 1 contributor was elected as committer. The PPMC 
elected Jim Jagielski as mentor.

 
Signed-off-by:
 
  [X](mxnet) Sebastian Schelter
     Comments:
  [ ](mxnet) Suneel Marthi
     Comments:
  [ ](mxnet) Markus Weimer
     Comments:
  [ ](mxnet) Henri Yandell
    Comments:
  [X](mxnet) Jim Jagielski
     Comments:

IPMC/Shepherd notes:

--------------------
NetBeans

NetBeans is a development environment, tooling platform and application
framework.

NetBeans has been incubating since 2016-10-01.

Three most important issues to address in the move towards graduation:

  1. Brand and domain donation.
  2. 3rd donation, consisting of documentation, e.g., tutorials and related 
images.
  3. Handing over of netbeans.org to Apache and related rerouting.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 None.

How has the community developed since the last report?

 - Currently 588 (557 in last report) on Apache NetBeans users mailing list 
and 422 (406 in last report) on Apache NetBeans dev mailing list.
 - New splash screen discussed and accepted.
 - NetBeans represented at FossBack 2018: 
https://blogs.apache.org/netbeans/entry/apache-netbeans-at-foss-backstage
 - NetBeans represented at COFAN 2018: 
https://blogs.apache.org/netbeans/entry/netbeans-for-javaee-project-productiv
ity

How has the project developed since the last report?

 - May 2018: Apache NetBeans (incubating) 9.0 RC1 released: 
https://netbeans.apache.org/download/index.html
 - Hats off to Emilian Bold, the first non-Sun/Oracle release manager, who 
put the RC1 mentioned above together.
 - 2nd Oracle donation consisting of 1.5M lines of code grant accepted and 
code handed over: 
https://github.com/apache/incubator-netbeans/tree/2ndDonation

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
  [ ] Nearing graduation
  [ ] Other:

Date of last release:

  2018-05-28 Apache NetBeans (incubating) 9.0 RC1

When were the last committers or PPMC members elected?

   * PPMC member Laszlo Kishalmi elected on June 12, 2018
   * PPMC member Reema Taneja elected on June 29, 2018

Signed-off-by:

  [ ](netbeans) Ate Douma
     Comments:
  [X](netbeans) Bertrand Delacretaz
     Comments:
  [ ](netbeans) Daniel Gruno
     Comments:
  [ ](netbeans) Mark Struberg
     Comments:

IPMC/Shepherd notes:

--------------------
ODF Toolkit

Java modules that allow programmatic creation, scanning and manipulation of
OpenDocument Format (ISO/IEC 26300 == ODF) documents

ODF Toolkit has been incubating since 2011-08-01.

Three most important issues to address in the move towards graduation:

  1. Improve code generation from ODF XML grammar to reduce complexity 
(sponsorship by German Government next Winter) 
  2. Attract more developers - (collaboration scheduled for the end of 
October)  
  3. Fulfil the 1.0 version  
  

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  None.

How has the community developed since the last report?
  	Several bug reports yet no new committers.

How has the project developed since the last report?
    Svante Schubert won for a second time sponsorship by German government's 
prototypefund.org for next Winter. 
    His previous collaboration feature runs finally full-featured with green 
regression tests on his GitHub fork, and was not yet merged into the main 
branch.
	Merge needs to be done before October, so the new sponsorship can 
focus on source code generation from the ODF XML grammar loaded into Graph 
Database (Apache Tinkerpop).    
	  
  
Date of the last release:

  2017-04-10

When were the last committers or PMC members elected?

  2017-08-02 - Michael Stahl

Signed-off-by:

  [ ](odftoolkit) Nick Burch
     Comments:
  [ ](odftoolkit) Yegor Kozlov
     Comments:
  [X](odftoolkit) Tom Barber
     Comments:
       The podling continues good development under Svante's guidance, but 
is certainly lacking other committers. That said, there is an active 
community with people responding to questions and comments on the mailing 
list. I hope the move to Gitbox helps.

IPMC/Shepherd notes:
ODF Toolkit has moved source code development to GitBox/GitHub. The website 
remains in SVN as it is tied together with Apache CMS.
Given that this pooling has been in Incubation for seven years it is worth 
considering retirement. Just yesterday there was a question about how ready 
it is for production given that it has "-incubating" in the package names.
Dave Fisher

--------------------
PLC4X

PLC4X is a set of libraries for communicating with industrial programmable 
logic controllers (PLCs) using a variety of protocols but with a shared API.

PLC4X has been incubating since 2017-12-18.

Most important issues to address while moving towards graduation:

Three most important issues to address in the move towards graduation:

  1. Building the community: The PPMC and committer group has a large 
percentage of codecentric employees, we have been recruiting people from 
other companies, but will have to continue these efforts for establishing a 
healthy Apache community.
  2. Onboarding of new committers: With PLC4X several people on the team are 
not very familiar with the Apache Way. We have started and will continue our 
efforts on this onboarding.
  3. Make our first release

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

Not at the moment.

How has the community developed since the last report?

Christofer has invested most of his time in May and June spreading the word 
about PLC4X.

There have been several conference talks on PLC4X:

  * Building IoT 2018 in Cologne: Christofer Dutz – Industrial IoT und Edge 
Computing mit Apache PLC4X und Apache Edgent
  * @Vanced Network Meetup in Solingen: Christofer Dutz – Open-Source in der 
Industrie mit Apache PLC4X
  * Apache Roadshow EU in Berlin: Christofer Dutz - Revolutionizing the 
Production Industry with Apache PLC4X

A blog post in a major corporate tech-blog has been published with the
content of the JavaSPEKTRUM article on Apache Edgent and Apache PLC4X:
https://blog.codecentric.de/2018/06/edge-computing-industrial-iot-apache-edge
nt-apache-plc4x/

As a direct result on a talk in Berlin about mentoring new committers,
we have started creating “low-hanging-fruit” tagged issues and have
started promoting them.  As a result we have 2 potential contributors
interested in tackling these. Hopefully this will result in continued
activity from their side.

We have reached out to a developer offering Modbus, EthernetIP and
OPC-UA drivers on his Github page to get him to join our efforts.

The dev-list subscriptions has gone up by 7 (now 29) from the last
report.

We now have a Twitter account: https://twitter.com/ApachePlc4x as
another channel of communicating interesting PLC4X facts.  After
tweeting a lot about our project, the number of followers to that has
drastically increased to 41

How has the project developed since the last report?

We have setup a VPN for the CI server and other committers to be able
to communicate with real PLCs, however this feature has not proven to
improve the involvement of other committers so far.

We have recently found a set of git repos with Apache licensed code
for accessing Modbus, Ethernet/IP and UPC-UA devices. We have reached
out to the original developer to maybe get him on board with our team.

How would you assess the podling's maturity?

We have a mix of new participants and experienced Apache people
involved.  So far, the new participants have shown great willingness
and success in adopting the Apache Way.  However, we still need to
continue: the on-boarding increasing the diversity of the team Also,
will we need to decide and establish all the processes involved in
releasing software at Apache

Please feel free to add your own commentary.

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

Date of last release:

  N/A

When were the last committers or PPMC members elected?

  N/A

Signed-off-by:

  [ ](plc4x) Greg Trasuk
     Comments:
  [X](plc4x) Justin Mclean
     Comments:
  [X](plc4x) Stefan Bodewig
     Comments:

IPMC/Shepherd notes:

--------------------
Rya

Rya (pronounced "ree-uh" /rēə/) is a cloud-based RDF triple store that
supports SPARQL queries. Rya is a scalable RDF data management system built 
on
top of Accumulo. Rya uses novel storage methods, indexing schemes, and query
processing techniques that scale to billions of triples across multiple 
nodes.
Rya provides fast and easy access to the data through SPARQL, a conventional
query mechanism for RDF data.

Rya has been incubating since 2015-09-18.

Three most important issues to address in the move towards graduation:

  1. Increase diversity of committers

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware
of?

No

How has the community developed since the last report?

 * Moving towards graduation

How has the project developed since the last report?
 * Started major version change Apache Rya 4.0.0 (incubating) 
 * Migrated from using older OpenRDF Sesame libraries to newer RDF4J
 * Fixed various bugs related to the use of RDF4J libraries (e.g. language 
support for literals)
 * Added tests for RyaStreams join iterator
 * Moved Geo Indexing specific maven repositories into the geoindexing 
profile, so geo-related jars are only fetched when geoindexing profile is 
used
 * Repackaged reusable Mongo DB test code in a new project rya.test.mongo 
 * Implemented Kafka Connect Sink implementations for Accumulo and MongoDB 
backed Rya
  
How would you assess the podling's maturity?
Please feel free to add your own commentary.

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

Date of last release:

   2018-03-04

When were the last committers or PPMC members elected?

 * PPMC member Caleb Meier elected on Jan 3rd, 2017

Signed-off-by:

  [ ](rya) Josh Elser
     Comments:
  [ ](rya) Edward J. Yoon
     Comments:
  [ ](rya) Venkatesh Seetharam
     Comments:
  [x](rya) Billie Rinaldi
     Comments:

IPMC/Shepherd notes:

--------------------
ServiceComb

ServiceComb is a microservice framework that provides a set of tools and
components to make development and deployment of cloud applications easier.

ServiceComb has been incubating since 2017-11-22.

Three most important issues to address in the move towards graduation:

  1. Community building
  2. Project visibility
  3. Trademark transfer

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  NO

How has the community developed since the last report?(2018-04)
  * The community get the second release out:
    service-center 1.0.0-m2, java-chassis 1.0.0-m2 and saga 0.2.0
  * The community hold a meetup in Beijing at Jun 27. 
    
http://servicecomb.incubator.apache.org/docs/apache-servicecomb-incubating-da
y-report/
  * There are about 6 departments of Huawei are using ServiceComb and other 
8 companies are using ServiceComb.

How has the project developed since the last report? (2018-04)
  * Java Chassis merged with 102 PRs by 16 contributors.
  * Service Center merged with 58 PRs by 6 contributors .
  * Saga merged with 48 PRs by 14 contributors.
  * 70 mails send by 19 people on the dev@ list (2018-04)
  * 156 mails sent by 17 people on the dev@ list （2018-05）
  * 97 mails send by  23 people on the dev@ list  (2018-06)

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

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

Date of last release:

  2018-06-22 Java Chassis 1.0.0-m2 
  2018-06-22 Service Center 1.0.0-m2
  2018-06-22 Saga 0.2.0

When were the last committers or PPMC members elected?
  2018-06-08 Zheng yangyong  was elected as committer.
  2018-06-11 Li Dagang(Eric) was elected as committer.

Signed-off-by:

  [X](servicecomb) Roman Shaposhnik
     Comments:
  [X](servicecomb) Jean-Baptiste Onofre
     Comments:
  [ ](servicecomb) Timothy Chen
     Comments:

IPMC/Shepherd notes:

--------------------
Weex

Weex is a framework for building high-performance mobile applications with
modern web development experience.

Weex has been incubating since 2016-11-30.

Three most important issues to address in the move towards graduation:

  1. Develop more non-Chinese contributors and committers, to bring
diversity to
the community.
  2. Improve the developer's activity in the mailing list.
  3. Create regularly release schedule.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  None.

How has the community developed since the last report?

  * Forward to the second release, it's under RC2 now.
  * Set up a regular monthly meeting between Alibaba, Tencent, and PayTM
developers.
  * 493(213 new issues since the last report) issues have been reported on
JIRA,
    and 321(79 since the last report) of them are resolved or closed.
  * Our Github repo has growth in contributors 154(9 new since the last
    report), forks 1321(153 new), watchers 497(46 new) and stars 9985(1255
new)

How has the project developed since the last report?

  * Excluding merges, 20 authors have pushed 77 commits to master and 93
commits to all branches. (June 4, 2018 – July 4, 2018)
  * Refactor the thread model of JavascriptCore and integrate WeexCore call
to iOS.

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

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

Date of last release:

  2017-06-08

When were the last committers or PPMC members elected?

  None.

Signed-off-by:

  [ ](weex) Luke Han
     Comments:
  [X](weex) Willem Jiang
     Comments:
  [ ](weex) Stephan Ewen
     Comments:
  [ ](weex) Raphael Bircher
     Comments:

IPMC/Shepherd notes: