Sharing Jupyter notebooks within a team
$begingroup$
I would like to set up a server which could support a data science team in the following way: be a central point for storing, versioning, sharing and possible also executing Jupyter notebooks.
Some desired properties:
- Different users can access the server and open and execute notebooks that were stored by them or by other team members. The interesting question here is what would be the behavior if user X executes cells in a notebook authored by user Y. I guess the notebook should NOT be changed:
- Solution should be self-hosted.
- Notebooks should be stored either on the server or on Google drive or on self-hosted instance of owncloud.
- (Bonus) Notebooks will be under git versioning control (git may be self-hosted. Cannot be bounded to GitHub or something of that sort).
I looked into JupyterHub and Binder. With the former, I didn't understand how to allow cross users access. The latter seems to only support GitHub as the storage of the notebooks.
Do you have experience with either of the solutions?
software-recommendation
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
$endgroup$
add a comment |
$begingroup$
I would like to set up a server which could support a data science team in the following way: be a central point for storing, versioning, sharing and possible also executing Jupyter notebooks.
Some desired properties:
- Different users can access the server and open and execute notebooks that were stored by them or by other team members. The interesting question here is what would be the behavior if user X executes cells in a notebook authored by user Y. I guess the notebook should NOT be changed:
- Solution should be self-hosted.
- Notebooks should be stored either on the server or on Google drive or on self-hosted instance of owncloud.
- (Bonus) Notebooks will be under git versioning control (git may be self-hosted. Cannot be bounded to GitHub or something of that sort).
I looked into JupyterHub and Binder. With the former, I didn't understand how to allow cross users access. The latter seems to only support GitHub as the storage of the notebooks.
Do you have experience with either of the solutions?
software-recommendation
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
$endgroup$
$begingroup$
Kaggle announced a system that might be what you want.
$endgroup$
– Ricardo Cruz
Nov 11 '16 at 15:07
1
$begingroup$
JupiterHub is exactly for this propose.
$endgroup$
– dannyeuu
Nov 15 '16 at 14:24
$begingroup$
@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
$endgroup$
– Dror Atariah
Nov 16 '16 at 7:08
$begingroup$
No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
$endgroup$
– Lukasz Tracewski
Dec 2 '16 at 20:06
$begingroup$
Google Colaboratory definitely meets requirement 3.
$endgroup$
– Leponzo
yesterday
add a comment |
$begingroup$
I would like to set up a server which could support a data science team in the following way: be a central point for storing, versioning, sharing and possible also executing Jupyter notebooks.
Some desired properties:
- Different users can access the server and open and execute notebooks that were stored by them or by other team members. The interesting question here is what would be the behavior if user X executes cells in a notebook authored by user Y. I guess the notebook should NOT be changed:
- Solution should be self-hosted.
- Notebooks should be stored either on the server or on Google drive or on self-hosted instance of owncloud.
- (Bonus) Notebooks will be under git versioning control (git may be self-hosted. Cannot be bounded to GitHub or something of that sort).
I looked into JupyterHub and Binder. With the former, I didn't understand how to allow cross users access. The latter seems to only support GitHub as the storage of the notebooks.
Do you have experience with either of the solutions?
software-recommendation
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
$endgroup$
I would like to set up a server which could support a data science team in the following way: be a central point for storing, versioning, sharing and possible also executing Jupyter notebooks.
Some desired properties:
- Different users can access the server and open and execute notebooks that were stored by them or by other team members. The interesting question here is what would be the behavior if user X executes cells in a notebook authored by user Y. I guess the notebook should NOT be changed:
- Solution should be self-hosted.
- Notebooks should be stored either on the server or on Google drive or on self-hosted instance of owncloud.
- (Bonus) Notebooks will be under git versioning control (git may be self-hosted. Cannot be bounded to GitHub or something of that sort).
I looked into JupyterHub and Binder. With the former, I didn't understand how to allow cross users access. The latter seems to only support GitHub as the storage of the notebooks.
Do you have experience with either of the solutions?
software-recommendation
software-recommendation
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
edited Dec 5 '16 at 6:28
Society of Data Scientists
534515
534515
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
asked Nov 8 '16 at 11:00
Dror AtariahDror Atariah
22839
22839
$begingroup$
Kaggle announced a system that might be what you want.
$endgroup$
– Ricardo Cruz
Nov 11 '16 at 15:07
1
$begingroup$
JupiterHub is exactly for this propose.
$endgroup$
– dannyeuu
Nov 15 '16 at 14:24
$begingroup$
@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
$endgroup$
– Dror Atariah
Nov 16 '16 at 7:08
$begingroup$
No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
$endgroup$
– Lukasz Tracewski
Dec 2 '16 at 20:06
$begingroup$
Google Colaboratory definitely meets requirement 3.
$endgroup$
– Leponzo
yesterday
add a comment |
$begingroup$
Kaggle announced a system that might be what you want.
$endgroup$
– Ricardo Cruz
Nov 11 '16 at 15:07
1
$begingroup$
JupiterHub is exactly for this propose.
$endgroup$
– dannyeuu
Nov 15 '16 at 14:24
$begingroup$
@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
$endgroup$
– Dror Atariah
Nov 16 '16 at 7:08
$begingroup$
No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
$endgroup$
– Lukasz Tracewski
Dec 2 '16 at 20:06
$begingroup$
Google Colaboratory definitely meets requirement 3.
$endgroup$
– Leponzo
yesterday
$begingroup$
Kaggle announced a system that might be what you want.
$endgroup$
– Ricardo Cruz
Nov 11 '16 at 15:07
$begingroup$
Kaggle announced a system that might be what you want.
$endgroup$
– Ricardo Cruz
Nov 11 '16 at 15:07
1
1
$begingroup$
JupiterHub is exactly for this propose.
$endgroup$
– dannyeuu
Nov 15 '16 at 14:24
$begingroup$
JupiterHub is exactly for this propose.
$endgroup$
– dannyeuu
Nov 15 '16 at 14:24
$begingroup$
@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
$endgroup$
– Dror Atariah
Nov 16 '16 at 7:08
$begingroup$
@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
$endgroup$
– Dror Atariah
Nov 16 '16 at 7:08
$begingroup$
No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
$endgroup$
– Lukasz Tracewski
Dec 2 '16 at 20:06
$begingroup$
No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
$endgroup$
– Lukasz Tracewski
Dec 2 '16 at 20:06
$begingroup$
Google Colaboratory definitely meets requirement 3.
$endgroup$
– Leponzo
yesterday
$begingroup$
Google Colaboratory definitely meets requirement 3.
$endgroup$
– Leponzo
yesterday
add a comment |
6 Answers
6
active
oldest
votes
$begingroup$
Airbnb recently open sourced their internal data science knowledge repository: https://github.com/airbnb/knowledge-repo
From its readme, it seems it could loosely fit your use case:
The Knowledge Repository project is focused on facilitating the
sharing of knowledge between data scientists and other technical roles
using data formats and tools that make sense in these professions. It
provides various data stores (and utilities to manage them) for
"knowledge posts", with a particular focus on notebooks (R Markdown
and Jupyter / iPython Notebook) to better promote reproducible
research.
There's also a blog post commenting on its motivation.
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
$endgroup$
add a comment |
$begingroup$
JupyterHub does not provide version control system nor facilitates sharing of Notebooks. You mentioned yourself limitation of Binder.
Try Zeppelin. Version 0.7 should be released within a few next days.
- As you can see from the roadmap, this version delivers "enterprise" features which are exactly about collaboration.
- Version control system (git) is integrated.
- It's self-hosted.
In essence, I think it meets all requirements you posted. On top of that it delivers richer visualisation capabilities and plethora of other features (works with Shiro, Knox, Kerberos - secure Spark anyone?).
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
$endgroup$
add a comment |
$begingroup$
The only self-hosted solution I know is the paid Anaconda Enterprise cloud setup, https://anaconda.org/about. The other solutions I am aware of are not self-hostable!
answered Nov 22 '16 at 17:26
RHCRHC
1413
$endgroup$
add a comment |
$begingroup$
Isn't this solution good enough ?
You can protect the access with ssh, and the hosted files could be the git repository you want, with different linux (or whatever) user access. You'll need your own server.
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
$endgroup$
add a comment |
$begingroup$
What I found - sharing notebooks for data scientists is a not a desirable format for communication. Many of them prefer IDE like Spider/RStudio or just a text editors (I know a few data scientists who use vi).
You might just share code by your source control and data by cloud storages. It will increase flexibility.
I've recently open sourced a tool which combines code, data, and the dependencies between data and code to a single environment and makes your data science project reproducible: DVC or dataversioncontrol.com (there is a tutorial).
With DVC tool you can just share your project by Git, sync data to S3 by a single DVC command. If some of your data scientists decide to change the code at any stage of your project then the final result could be easily reproduced by a single command dvc repro data/target_metrics.txt.
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
$endgroup$
add a comment |
$begingroup$
Domino Data Lab offers premises, SaaS, and VPC-based notebook hosting (Jupyter, Zeppelin, RStudio), git integration, scalable compute, environment templates, and a bunch of other useful things. The premises/ VPC offerings may be overkill and too pricey if you're a small team, but the SaaS plans are pretty reasonably priced.
[ Full disclosure: I'm a former Domino employee ]
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
$endgroup$
add a comment |
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6 Answers
6
active
oldest
votes
6 Answers
6
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Airbnb recently open sourced their internal data science knowledge repository: https://github.com/airbnb/knowledge-repo
From its readme, it seems it could loosely fit your use case:
The Knowledge Repository project is focused on facilitating the
sharing of knowledge between data scientists and other technical roles
using data formats and tools that make sense in these professions. It
provides various data stores (and utilities to manage them) for
"knowledge posts", with a particular focus on notebooks (R Markdown
and Jupyter / iPython Notebook) to better promote reproducible
research.
There's also a blog post commenting on its motivation.
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
$endgroup$
add a comment |
$begingroup$
Airbnb recently open sourced their internal data science knowledge repository: https://github.com/airbnb/knowledge-repo
From its readme, it seems it could loosely fit your use case:
The Knowledge Repository project is focused on facilitating the
sharing of knowledge between data scientists and other technical roles
using data formats and tools that make sense in these professions. It
provides various data stores (and utilities to manage them) for
"knowledge posts", with a particular focus on notebooks (R Markdown
and Jupyter / iPython Notebook) to better promote reproducible
research.
There's also a blog post commenting on its motivation.
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
$endgroup$
add a comment |
$begingroup$
Airbnb recently open sourced their internal data science knowledge repository: https://github.com/airbnb/knowledge-repo
From its readme, it seems it could loosely fit your use case:
The Knowledge Repository project is focused on facilitating the
sharing of knowledge between data scientists and other technical roles
using data formats and tools that make sense in these professions. It
provides various data stores (and utilities to manage them) for
"knowledge posts", with a particular focus on notebooks (R Markdown
and Jupyter / iPython Notebook) to better promote reproducible
research.
There's also a blog post commenting on its motivation.
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
$endgroup$
Airbnb recently open sourced their internal data science knowledge repository: https://github.com/airbnb/knowledge-repo
From its readme, it seems it could loosely fit your use case:
The Knowledge Repository project is focused on facilitating the
sharing of knowledge between data scientists and other technical roles
using data formats and tools that make sense in these professions. It
provides various data stores (and utilities to manage them) for
"knowledge posts", with a particular focus on notebooks (R Markdown
and Jupyter / iPython Notebook) to better promote reproducible
research.
There's also a blog post commenting on its motivation.
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
answered Dec 1 '16 at 9:50
ncasasncasas
3,7631131
3,7631131
add a comment |
add a comment |
$begingroup$
JupyterHub does not provide version control system nor facilitates sharing of Notebooks. You mentioned yourself limitation of Binder.
Try Zeppelin. Version 0.7 should be released within a few next days.
- As you can see from the roadmap, this version delivers "enterprise" features which are exactly about collaboration.
- Version control system (git) is integrated.
- It's self-hosted.
In essence, I think it meets all requirements you posted. On top of that it delivers richer visualisation capabilities and plethora of other features (works with Shiro, Knox, Kerberos - secure Spark anyone?).
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
$endgroup$
add a comment |
$begingroup$
JupyterHub does not provide version control system nor facilitates sharing of Notebooks. You mentioned yourself limitation of Binder.
Try Zeppelin. Version 0.7 should be released within a few next days.
- As you can see from the roadmap, this version delivers "enterprise" features which are exactly about collaboration.
- Version control system (git) is integrated.
- It's self-hosted.
In essence, I think it meets all requirements you posted. On top of that it delivers richer visualisation capabilities and plethora of other features (works with Shiro, Knox, Kerberos - secure Spark anyone?).
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
$endgroup$
add a comment |
$begingroup$
JupyterHub does not provide version control system nor facilitates sharing of Notebooks. You mentioned yourself limitation of Binder.
Try Zeppelin. Version 0.7 should be released within a few next days.
- As you can see from the roadmap, this version delivers "enterprise" features which are exactly about collaboration.
- Version control system (git) is integrated.
- It's self-hosted.
In essence, I think it meets all requirements you posted. On top of that it delivers richer visualisation capabilities and plethora of other features (works with Shiro, Knox, Kerberos - secure Spark anyone?).
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
$endgroup$
JupyterHub does not provide version control system nor facilitates sharing of Notebooks. You mentioned yourself limitation of Binder.
Try Zeppelin. Version 0.7 should be released within a few next days.
- As you can see from the roadmap, this version delivers "enterprise" features which are exactly about collaboration.
- Version control system (git) is integrated.
- It's self-hosted.
In essence, I think it meets all requirements you posted. On top of that it delivers richer visualisation capabilities and plethora of other features (works with Shiro, Knox, Kerberos - secure Spark anyone?).
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
answered Dec 2 '16 at 20:05
Lukasz TracewskiLukasz Tracewski
1212
1212
add a comment |
add a comment |
$begingroup$
The only self-hosted solution I know is the paid Anaconda Enterprise cloud setup, https://anaconda.org/about. The other solutions I am aware of are not self-hostable!
answered Nov 22 '16 at 17:26
RHCRHC
1413
$endgroup$
add a comment |
$begingroup$
The only self-hosted solution I know is the paid Anaconda Enterprise cloud setup, https://anaconda.org/about. The other solutions I am aware of are not self-hostable!
answered Nov 22 '16 at 17:26
RHCRHC
1413
$endgroup$
add a comment |
$begingroup$
The only self-hosted solution I know is the paid Anaconda Enterprise cloud setup, https://anaconda.org/about. The other solutions I am aware of are not self-hostable!
answered Nov 22 '16 at 17:26
RHCRHC
1413
$endgroup$
The only self-hosted solution I know is the paid Anaconda Enterprise cloud setup, https://anaconda.org/about. The other solutions I am aware of are not self-hostable!
answered Nov 22 '16 at 17:26
RHCRHC
1413
answered Nov 22 '16 at 17:26
RHCRHC
1413
answered Nov 22 '16 at 17:26
RHCRHC
1413
answered Nov 22 '16 at 17:26
RHCRHC
1413
1413
add a comment |
add a comment |
$begingroup$
Isn't this solution good enough ?
You can protect the access with ssh, and the hosted files could be the git repository you want, with different linux (or whatever) user access. You'll need your own server.
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
$endgroup$
add a comment |
$begingroup$
Isn't this solution good enough ?
You can protect the access with ssh, and the hosted files could be the git repository you want, with different linux (or whatever) user access. You'll need your own server.
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
$endgroup$
add a comment |
$begingroup$
Isn't this solution good enough ?
You can protect the access with ssh, and the hosted files could be the git repository you want, with different linux (or whatever) user access. You'll need your own server.
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
$endgroup$
Isn't this solution good enough ?
You can protect the access with ssh, and the hosted files could be the git repository you want, with different linux (or whatever) user access. You'll need your own server.
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
answered Feb 3 '17 at 13:58
debzsuddebzsud
997313
997313
add a comment |
add a comment |
$begingroup$
What I found - sharing notebooks for data scientists is a not a desirable format for communication. Many of them prefer IDE like Spider/RStudio or just a text editors (I know a few data scientists who use vi).
You might just share code by your source control and data by cloud storages. It will increase flexibility.
I've recently open sourced a tool which combines code, data, and the dependencies between data and code to a single environment and makes your data science project reproducible: DVC or dataversioncontrol.com (there is a tutorial).
With DVC tool you can just share your project by Git, sync data to S3 by a single DVC command. If some of your data scientists decide to change the code at any stage of your project then the final result could be easily reproduced by a single command dvc repro data/target_metrics.txt.
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
$endgroup$
add a comment |
$begingroup$
What I found - sharing notebooks for data scientists is a not a desirable format for communication. Many of them prefer IDE like Spider/RStudio or just a text editors (I know a few data scientists who use vi).
You might just share code by your source control and data by cloud storages. It will increase flexibility.
I've recently open sourced a tool which combines code, data, and the dependencies between data and code to a single environment and makes your data science project reproducible: DVC or dataversioncontrol.com (there is a tutorial).
With DVC tool you can just share your project by Git, sync data to S3 by a single DVC command. If some of your data scientists decide to change the code at any stage of your project then the final result could be easily reproduced by a single command dvc repro data/target_metrics.txt.
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
$endgroup$
add a comment |
$begingroup$
What I found - sharing notebooks for data scientists is a not a desirable format for communication. Many of them prefer IDE like Spider/RStudio or just a text editors (I know a few data scientists who use vi).
You might just share code by your source control and data by cloud storages. It will increase flexibility.
I've recently open sourced a tool which combines code, data, and the dependencies between data and code to a single environment and makes your data science project reproducible: DVC or dataversioncontrol.com (there is a tutorial).
With DVC tool you can just share your project by Git, sync data to S3 by a single DVC command. If some of your data scientists decide to change the code at any stage of your project then the final result could be easily reproduced by a single command dvc repro data/target_metrics.txt.
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
$endgroup$
What I found - sharing notebooks for data scientists is a not a desirable format for communication. Many of them prefer IDE like Spider/RStudio or just a text editors (I know a few data scientists who use vi).
You might just share code by your source control and data by cloud storages. It will increase flexibility.
I've recently open sourced a tool which combines code, data, and the dependencies between data and code to a single environment and makes your data science project reproducible: DVC or dataversioncontrol.com (there is a tutorial).
With DVC tool you can just share your project by Git, sync data to S3 by a single DVC command. If some of your data scientists decide to change the code at any stage of your project then the final result could be easily reproduced by a single command dvc repro data/target_metrics.txt.
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
answered May 14 '17 at 0:16
Dmitry PetrovDmitry Petrov
20124
20124
add a comment |
add a comment |
$begingroup$
Domino Data Lab offers premises, SaaS, and VPC-based notebook hosting (Jupyter, Zeppelin, RStudio), git integration, scalable compute, environment templates, and a bunch of other useful things. The premises/ VPC offerings may be overkill and too pricey if you're a small team, but the SaaS plans are pretty reasonably priced.
[ Full disclosure: I'm a former Domino employee ]
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
$endgroup$
add a comment |
$begingroup$
Domino Data Lab offers premises, SaaS, and VPC-based notebook hosting (Jupyter, Zeppelin, RStudio), git integration, scalable compute, environment templates, and a bunch of other useful things. The premises/ VPC offerings may be overkill and too pricey if you're a small team, but the SaaS plans are pretty reasonably priced.
[ Full disclosure: I'm a former Domino employee ]
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
$endgroup$
add a comment |
$begingroup$
Domino Data Lab offers premises, SaaS, and VPC-based notebook hosting (Jupyter, Zeppelin, RStudio), git integration, scalable compute, environment templates, and a bunch of other useful things. The premises/ VPC offerings may be overkill and too pricey if you're a small team, but the SaaS plans are pretty reasonably priced.
[ Full disclosure: I'm a former Domino employee ]
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
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Domino Data Lab offers premises, SaaS, and VPC-based notebook hosting (Jupyter, Zeppelin, RStudio), git integration, scalable compute, environment templates, and a bunch of other useful things. The premises/ VPC offerings may be overkill and too pricey if you're a small team, but the SaaS plans are pretty reasonably priced.
[ Full disclosure: I'm a former Domino employee ]
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
answered Jun 19 '17 at 17:13
danielchalefdanielchalef
101
101
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Kaggle announced a system that might be what you want.
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– Ricardo Cruz
Nov 11 '16 at 15:07
1
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JupiterHub is exactly for this propose.
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– dannyeuu
Nov 15 '16 at 14:24
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@dannyeuu I assume you meant JupyterHub, right? Is it possible to have cross users notebooks sharing?
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– Dror Atariah
Nov 16 '16 at 7:08
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No, each user has a separate instance of Jupyter spawned. AFAIK you can't easily share notebooks.
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– Lukasz Tracewski
Dec 2 '16 at 20:06
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Google Colaboratory definitely meets requirement 3.
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– Leponzo
yesterday