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From "P. Taylor Goetz" <>
Subject Re: [PROPOSAL] DLab for Apache Incubator
Date Tue, 14 Aug 2018 20:02:57 GMT
If there’s no further discussion, I will call for a VOTE tomorrow.


> On Aug 6, 2018, at 10:47 AM, P. Taylor Goetz <> wrote:
> I would like to propose DLab as an Apache Incubator project.
> The text of the proposal can be found below as well as on the Incubator wiki:
> We are seeking additional mentors and would welcome anyone who would like to volunteer.
> -Taylor
> = DLab Proposal =
> == Abstract ==
> DLab is a platform for creating self-service, exploratory data science environments in
the cloud using best-of-breed data science tools.
> DLab includes a self-service web console, used to create and manage exploratory environments.
It allows teams to spin up analytical environments with just a single click of a mouse. Once
established, the environment can be managed by an analytical team itself, leveraging simple
and easy-to-use web-based interface.
> == Proposal ==
> In order to work effectively, data scientists rely on a varying suite of analytics tools
that are readily available. However, many of those tools are non-trivial to set up in terms
of hardware provisioning, software installation, configuration, and deployment. Setting up
a collaborative, multi-tenant development environment for data scientists consumes substantial
IT and DevOps resources, as well as time. These factors often combine to hinder the agility
and effectiveness of data science teams within an organization. Current solutions are largely
closed source and/or proprietary, and committing to a given solution introduces the potential
for vendor lock-in.
> EPAM Systems developed DLab in response to the lack of open source, permissibly licensed
solutions to better enable data science workflows. The ALv2 was selected to encourage open
development and user adoption. DLab was open sourced on Dec 29, 2016 and is under active development
with support from EPAM Systems.
> We believe DLab is a unique solution with no current open source equivalent. Our primary
goals of incubation are to grow and diversify the DLab community to ensure its long-term sustainability.
> == Rationale ==
> DLab is a platform that provides data scientists with the ability to self-provision,
without IT support, exploratory and production environments with their preferred set of tools
installed and pre-configured. Tool options include, but are not limited to:
> * Apache Spark
> * Apache Flink (planned)
> * Apache Zeppelin
> * Jupyter
> * TensorFlow + Jupyter
> * Deep Learning + Jupyter
> DLab leverages cloud computing providers for virtual hardware provisioning and currently
supports the following:
> * Amazon Web Services (AWS)
> * Microsoft Azure
> * Google Compute Platform (GCP) (under development)
> DLab offers git-based collaboration tools for data scientists and developers and integrates
with the following git service providers:
> * GItHub
> * GitLab
> * BitBucket
> Additionally, DLab includes the option to configure the UnGit tool in an environment
to facilitate collaboration.
> Finally, DLab integrates closely with many security and SSO offerings, including:
> * LDAP
> * Microsoft Active Directory
> * AWS Identity Access Management service
> DLab was designed from the ground up to be highly configurable, flexible, and extensible
platform. We believe these qualities will encourage community growth by enabling contributors
to easily add new integrations and extensions.
> == Initial Goals ==
> The initial goal will be to move the existing codebase to Apache and integrate with the
Apache development process and infrastructure. A primary goal of incubation will be to grow
and diversify the DLab PPMC. We are well aware that the project community is comprised of
individuals from a single company. We aim to change that during incubation.
> == Current Status ==
> As previously mentioned, DLab is under active development at EPAM Systems, and is being
used in a number of production deployments:
> * [An investment company] is using DLab as an AWS-based analytics platform for their
data scientists to provide a convenient way to perform multi-tenant data analytics. This enables
data scientists to easily provision work environments with integrated data sources based on
Elasticsearch, Apache HBase, and Neo4j, and utilizing Apache Spark. This enabled a “one
click”, self service option for users to provision an environment with the necessary tools
and data.
> * [An electronics manufacturing company] leverages DLab for data quality, data exploration,
and analytics. The company’s data scientists leverage DLab to work with data sources that
have been transferred to the cloud in order to find new insights on the data, and help the
implementation team define requirements for data engineering. The main goal is to increase
the utilization of various tools by decreasing time to deployment.
> * [A retail company] is using DLab as an image recognition framework, to enable automated
restocking of inventory.
> * [A travel company] is using DLab to create recommendation engine that will allow end
users to find more relevant accommodations faster and at a lower cost.
> === Meritocracy ===
> We value meritocracy and we understand that it is the basis for an open community that
encourages multiple companies and individuals to contribute and be invested in the project’s
future. We will encourage and monitor participation and make sure to extend privileges and
responsibilities to all contributors.
> === Community ===
> DLab is currently being used by developers at EPAM and a gowing number of customers are
actively using it in production environments. By bringing DLab to Apache we hope to broaden
and diversity the user and developer community through open collaboration.
> === Core Developers ===
> DLab was initially developed at EPAM Systems and is under active development. We believe
DLab will be of interest to a broad range of users and devlopers and that incubating the project
at the ASF will help us build a diverse, sustainable community.
> === Alignment ===
> DLab utilizes other Apache projects such as Apache Spark, Apache Toree (incubating),
and Apache Zeppelin, along with a number of other Apache libraries. We anticipate integration
with additional Apache projects as the DLab community and interest in the project grows.
> == Known Risks ==
> === Orphaned products ===
> EPAM Systems is committed to the future development of DLab and understands that graduation
to a TLP, while preferable, is not the only positive outcome of incubation.
> Should the DLab project be accepted by the Incubator, the prospective PPMC would be willing
to agree to a target incubation period of 2 years or less, knowing that every Incubator project
incurs a certain cost in terms of ASF infrastructure and volunteer time.
> === Inexperience with Open Source ===
> Many DLab contributors are already familiar with open source processes and several of
them are committers on other Apache projects. We will be actively working with experienced
Apache community members to improve our project.
> === Homogenous Developers ===
> The initial committers of DLab all come from EPAM Systems,  though we are committed to
recruiting and developing additional committers from a wide spectrum of industries and backgrounds.
> === Reliance on Salaried Developers ===
> It is expected that DLab development will occur on both salaried time and on volunteer
time, after hours. All of the initial committers are paid by EPAM Systems to contribute to
this project. However, they are all passionate about the project, and we are both confident
and hopeful that the project will continue even if no salaried developers contribute to the
> === Relationships with Other Apache Products ===
> As mentioned in the Rationale section, DLab utilizes a number of existing Apache projects
(Spark, Toree, Zeppelin, et. al.), and we expect that list to expand as the community grows
and diversifies. Any Apache project in the big data, data science, and/or analytics space
would be potentially relevant.
> === A Excessive Fascination with the Apache Brand ===
> We are applying to the Incubator process because we think it is the next logical step
for the DLab project after open-sourcing the code. This proposal is not for the purpose of
generating publicity. Rather, we want to make sure to create a very inclusive and meritocratic
community, outside the umbrella of a single company. EPAM has a long history of contributing
to Apache projects and the DLab developers and contributors understand the implication of
making it an Apache project.
> == Required Resources ==
> === Mailing lists ===
> *
> *
> *
> === Source control ===
> *
> === Issue tracking ===
> * JIRA DLab (DLAB)
> == Documentation ==
> * DLab Website:
> * DLab code base:
> * DLab Overview:
> * DLab User Guide:
> == Initial Source ==
> The DLab codebase is currently hosted on Github:
> == Source and Intellectual Property Submission Plan ==
> The DLab source code in Github is currently licensed under Apache License v2.0 and the
copyright is assigned to EPAM Systems. If DLab becomes an Incubator project at the ASF, EPAM
Systems will transfer the source code and trademark ownership to the Apache Software Foundation
via a Software Grant Agreement.
> == External Dependencies ==
> To the best of our knowledge, all of DLab dependencies are distributed under Apache compatible
> DLab was designed to be highly extensible, and we expect and encourage the development
of third-party extensions and plug-ins. We also understand that any such component, if it
requires a dependency forbidden by Apache license policy, would not be eligible for inclusion
in an Apache release, and would have to be hosted, supported, etc. outside of ASF infrastructure
and labeled appropriately.
> === External dependencies licensed under Apache License 2.0: ===
> MongoDB Java Driver - org.mongodb:mongo-java-driver (
> Dropwizard (
> Dropwizard Template Config (
> Apache Directory Server (
> Jackson (
> AWS Java SDK (
> Boto3 (
> === External dependencies licensed under the MIT License: ===
> angular2-app (
> angular2-seed (
> angular2-seed-advanced (
> angular2-seed-n3UX (
> http-status-enum (
> Mockito (
> ng2-translate (
> SLF4J (
> === External dependencies licensed under the CDDL License: ===
> Jersey (
> === External dependencies licensed under the Python Software License Version 2: ===
> jython (
> === ASF Projects: ===
> Apache Spark, Apache Toree (incubating), Apache Zeppelin
> == Cryptography ==
> Not applicable.
> == Initial Committers ==
> * Dmytro Liaskovskyi
> * Volodymyr Veres
> * Oleh Hrynets
> * Oleh Hrynyk
> * Oleh Martushevskyi
> * Oleh Moskovych
> * Vadym Kuznetsov
> * Usein Faradzhev
> * Bohdan Hliva
> * Oleksandr Melnychuk
> * Mikhail Teplitskiy
> * Vira Vitanska
> * Andriana Kovalyshyn
> * Oleksandr Chaparin
> * Denys Shliakhov
> * Nazar Barabash
> * Yuriy Holinko
> * Petro Kotsiuba
> * Bogdan Rudyi
> * Mikhail Teplitskyi
> == Sponsors ==
> === Champion ===
> * P. Taylor Goetz
> === Nominated Mentors ===
> * P. Taylor Goetz
> === Sponsoring Entity ===
> * The Apache Incubator

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