This was extracted (@ 2023-02-28 12:10) from a list of minutes
which have been approved by the Board.
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WARNING: these pages may omit some original contents of the minutes.
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Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. Integrations with eco-system projects.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
NA
### How has the project developed since the last report?
We have completed the SageMaker integration and next version is ready to
be released.
### 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:
2022-03-10
### When were the last committers or PPMC members elected?
2022-04-06
### Have your mentors been helpful and responsive?
They have been very responsive and helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofré
Comments: Community build is the main target right now.
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
It's has been a while since the last relase.
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. Integrations with eco-system projects.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
NA
### How has the project developed since the last report?
We have progressed in SageMaker / Liminal integration. Having a working
PoC.
### 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:
2022-03-10
### When were the last committers or PPMC members elected?
2022-04-06
### Have your mentors been helpful and responsive?
They have been very responsive and helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. Integrations with eco-system projects.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
We keep showcasing Liminal to companies. We have also published a blog on
running Liminal with MWAA.
### How has the project developed since the last report?
We have defined the goal of the next version - integration Liminal with
SageMaker & dbt. We intend to release this version in August/22.
### 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:
2022-03-10
### When were the last committers or PPMC members elected?
2022-04-06
### Have your mentors been helpful and responsive?
They have been very responsive and helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. More features and integrations with eco-system projects.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
We have presented Liminal to few companies and received important feedback.
We have 2 new official committers. We are also starting a PoC with one
company.
### How has the project developed since the last report?
We have released version 0.0.4, introducing Airflow 2.0 support +
extensibility API.
### 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:
2022-03-10
### When were the last committers or PPMC members elected?
2022-04-06
### Have your mentors been helpful and responsive?
They have been very responsive and helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments: The podling is moving forward; community building is the key
next step.
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. More features and integrations with eco-system projects.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
We have presented Liminal to few companies and received important
feedback. We have held our first Liminal meetup and also presented in
Pydata IL.
In addition we got first PRs from a new guy.
### How has the project developed since the last report?
We have worked on version 0.0.4, which will are released in 01/2022. This
version among other features will introduce a coherent extensibility API
and support in Airflow 2.0. We have also worked on 1 click installation in
AWS cloud including provisioning of infrastructure and Liminal install.
### 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:
2021-08-12
### When were the last committers or PPMC members elected?
NA
### Have your mentors been helpful and responsive?
Very responsive and helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [ ] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [ ] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. More features - provide out-of-the-box usability for common use-cases.
### Are there any issues that the IPMC or ASF Board need to be aware of?
NA
### How has the community developed since the last report?
We have presented Liminal to several companies, got great feedback, and
they are now evaluating Liminal for their use cases.
We have presented in ApacheCon Asia and ApacheCon.
### How has the project developed since the last report?
We have released v 0.0.3 - a major milestone to Liminal, containing
out-of-the-box functionality to run an ML pipeline locally and in AWS,
using Airflow, Kubernetes & Spark.
### 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:
2021-08-12
### When were the last committers or PPMC members elected?
NA
### Have your mentors been helpful and responsive?
Super helpful.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [ ] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [ ] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. More releases - provide out-of-the-box usability for common use-cases.
### Are there any issues that the IPMC or ASF Board need to be aware of?
None
### How has the community developed since the last report?
We have released V 0.0.2 with seamless integration with AWS + we are
working on a joint blogpost with the AWS technical team on using Liminal
with MWAA.
We got accepted to present Liminal in both ApacheCon and ApacheCon Asia
2021.
We are going to present in August in 2 public companies, hoping to
attract them to join the community effort.
### How has the project developed since the last report?
We have released V 0.0.2 and going to release in August v 0.0.3 - a major
milestone to Liminal, containing out-of-the-box functionality to run an ML
pipeline locally and in AWS, using Airflow, Kubernetes & Spark.
### 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:
2021-04-20
### When were the last committers or PPMC members elected?
NA
### Have your mentors been helpful and responsive?
J.B. and Davor have been super helpful in approving the second release
and assist with any issue raised.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofré
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [ ] (liminal) Davor Bonaci
Comments:
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Grow developers community.
2. Adoption of the project by a few companies.
3. More releases - provide out-of-the-box usability for common use-cases.
### Are there any issues that the IPMC or ASF Board need to be aware of?
None.
### How has the community developed since the last report?
We have started to engage with Airflow community
(https://airflow.apache.org/ecosystem/).
We plan to push the first release through social media.
### How has the project developed since the last report?
We have released our first official Apache version + notes on running it on
AWS.
We have planned the timeline and content of the second version (due to May
2021).
### 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:
2021-03-16
### When were the last committers or PPMC members elected?
NA
### Have your mentors been helpful and responsive?
J.B. and Davor have been super helpful in approving the first release and
in pushing infra issues.
### Is the PPMC managing the podling's brand / trademarks?
NA
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofre
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments: Very happy to see the first release completed!
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Dave Fisher - I sent a note to the PPMC suggesting that they start their
Suitable Name Search soon.
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. First release (due next week)
2. Build a community
3. Define 2021 roadmap
### Are there any issues that the IPMC or ASF Board need to be aware of?
No.
### How has the community developed since the last report?
We had a successful meetup and a presentation on Data & AI summit Europe.
Discussing with few companies to join the effort.
### How has the project developed since the last report?
The first release candidate is ready and verified, planning to have a
formal release next week.
### How would you assess the podling's maturity?
Please feel free to add your own commentary.
- [ ] Initial setup
- [X] Working towards first release
- [ ] Community building
- [ ] Nearing graduation
- [ ] Other:
### Date of last release:
The first release candidate is ready and verified, planning to have a
formal release next week.
### When were the last committers or PPMC members elected?
NA
### Have your mentors been helpful and responsive?
JB & Davor have been helpful.
### Is the PPMC managing the podling's brand / trademarks?
No.
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofre
Comments: First release has been done.
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments: Looking forward to the community review of the first release!
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Justin Mclean: Individuals contribute to ASF projects not companies. I'm
sure you know that, you just might want to be more careful with your
language in future reports.
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Building community
2. First release
3. Roadmap creation
### Are there any issues that the IPMC or ASF Board need to be aware of?
No
### How has the community developed since the last report?
1. We will present at the Data & AI Summit Europe :
https://databricks.com/session_eu20/apache-liminal-incubating-orchestrate
-the-machine-learning-pipeline
2. We plan to have a first meetup at the end of November.
3. Project Website is up - http://liminal.apache.org/
### How has the project developed since the last report?
We have defined the scope of the first release and working for GA in the
beginning of 12/2020
### How would you assess the podling's maturity?
Please feel free to add your own commentary.
- [ ] Initial setup
- [X] Working towards first release
- [ ] Community building
- [ ] Nearing graduation
- [ ] Other:
### Date of last release:
None yet.
### When were the last committers or PPMC members elected?
None yet.
### Have your mentors been helpful and responsive?
JB & Davor have been helpful and responsive.
### Is the PPMC managing the podling's brand / trademarks?
NA.
### Signed-off-by:
- [ ] (liminal) Jean-Baptiste Onofre
Comments:
- [ ] (liminal) Henry Saputra
Comments:
- [ ] (liminal) Uma Maheswara Rao G
Comments:
- [X] (liminal) Davor Bonaci
Comments: Nice progress since the last report. The pace of progress
seems to be accelarating.
- [ ] (liminal) Liang Chen
Comments:
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers and scientists,
allowing them to build, train and deploy machine learning models in a robust
and agile way.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Building community
2. First release
3. Roadmap creation
### Are there any issues that the IPMC or ASF Board need to be aware of?
No.
### How has the community developed since the last report?
NA
### How has the project developed since the last report?
Project bootstrap has been completed.
### How would you assess the podling's maturity?
Please feel free to add your own commentary.
- [ ] Initial setup
- [X] Working towards first release
- [ ] Community building
- [ ] Nearing graduation
- [ ] Other:
### Date of last release:
None yet.
### When were the last committers or PPMC members elected?
None yet.
### Have your mentors been helpful and responsive?
JB & Davor have been assisting to complete the bootstrap.
### Is the PPMC managing the podling's brand / trademarks?
NA.
### Signed-off-by:
- [X] (liminal) Jean-Baptiste Onofre
Comments: Still bootstrapping but moving forward anyway
- [X] (liminal) Davor Bonaci
Comments: Bootstrapping finishing soon!
### IPMC/Shepherd notes:
Apache Liminal is an end-to-end platform for data engineers & scientists,
allowing them to build, train and deploy machine learning models in a
robust and agile way. The platform provides the abstractions and
declarative capabilities for data extraction & feature engineering followed
by model training and serving. Apache Liminal's goal is to operationalise
the machine learning process, allowing data scientists to quickly
transition from a successful experiment to an automated pipeline of model
training, validation, deployment and inference in production, freeing them
from engineering and non-functional tasks, and allowing them to focus on
machine learning code and artifacts.
Liminal has been incubating since 2020-05-23.
### Three most important unfinished issues to address before graduating:
1. Bootstrapping resources and code donation
2. Building community
3. First release
### Are there any issues that the IPMC or ASF Board need to be aware of?
No
### How has the community developed since the last report?
Liminal is in early incubator stage, creation of resources has been done
(gitbox, jira, etc).
The initial committer list submits ICLA and we are preparing the code
donation.
### How has the project developed since the last report?
This is the first report for Liminal.
### How would you assess the podling's maturity?
Please feel free to add your own commentary.
- [X] Initial setup
- [ ] Working towards first release
- [ ] Community building
- [ ] Nearing graduation
- [ ] Other:
### Date of last release:
None yet.
### When were the last committers or PPMC members elected?Warble
None yet.
### Have your mentors been helpful and responsive?
JB has created the resources and now he's helping on code review and
donation.
### Is the PPMC managing the podling's brand / trademarks?
No answer.
### Signed-off-by:
- [X] (liminal) JB Onofré
Comments:
- [X] (liminal) Davor Bonaci
Comments: the project is in the setup phase.
### IPMC/Shepherd notes: