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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis
Script of Scripts (SoS) consists of SoS Notebook
, a Jupyter-based polyglot notebook that allows the use of multiple Jupyter kernels in one notebook, and
SoS Workflow
, a workflow system for the execution of workflows in both process- and outcome-oriented styles. It is designed for data scientists and bioinformatics who routinely work with scripts in different languages such as bash, Python, R, and SAS. This repository contains the SoS Workflow
workflow engine.
Please refer to relevant publications SoS Notebook: An Interactive Multi-Language Data Analysis Environment in Bioinformatics, Script of Scripts: a pragmatic workflow system for daily computational research in PLoS Computational Biology, and the SoS homepage for more information on SoS Notebook and SoS Workflow.
We welcome and value community contributions: please post issues to provide us feedback or get our support; please send pull requests if you have helped fixing bugs or making improvements to the source code. In addition, if you are interesting in extending SoS, for example adding a new target type or task engine, please have a look at our tutorial on extending SoS here.
If you are using conda, you can install sos using command
conda install sos -c conda-forge
You can also install a majority of the SoS suite of tools using commands such as
conda install sos sos-pbs sos-notebook jupyterlab-sos sos-bash sos-python sos-r -c conda-forge
This will install SoS Workflow, SoS Notebook and its JupyterLab extension, language modules for
Bash
, Python2
, Python3
, R
, R
itself (r-base
and r-irkernel
etc) and needed
libraries (e.g. feather
) if needed.
If you are not using conda, you will have to install all the pieces one by one, but you will also have the freedom to use non-conda installation of R
, Julia
etc. With a working Python 3.6 installation, you can install SoS Workflow with command
pip install sos
and also
pip install sos-pbs
if you would like to use SoS with a remote batch system such as LSF or Slurm.
You can install SoS Notebook, and register the sos kernel with Jupyter using the following commands
pip install sos-notebook
python -m sos_notebook.install
To exchange data between live kernels in SoS Notebook, you will need to install individual kernels (e.g. irkernel
for R
), make sure they work under Jupyter, and install SoS language modules using commands such as
pip install sos-r sos-matlab sos-python sos-bash
Different modules might be needed to assist data exchange among kernels. Please refer to the installation page of sos website for details.
SoS 0.25.0:
remote
target type, remote push
and pull
, named (#name
) path because SoS now assumes that all input and output files are available on shared drives with identical path names.SoS 0.24.5:
SoS 0.22.5:
SoS Notebook 0.22.3
SoS Notebook 0.22.2
SoS 0.21.12
pem_file
to authenticate to remote hosts.SoS 0.20.9
-r host
to allow workflow to be executed with templates and on PBS-b BIN_DIR
due to sos#1319SoS 0.19.15
trunk_workers
.-j
of commands sos run
and sos execute
to use remote workers.-q
from localhost
to None
(no task).SoS 0.19.0
-j
.SoS Notebook 0.18.5
SoS 0.18.6
output_from(step)
to obtain output from a workflow.SoS 0.18.5
-T
to enfore dependency tracing.traced
to make dependencies that will always be tracedSoS 0.18.4
depends
statement always try to build dependency.SoS Notebook 0.18.1
&
to the end of magics %run
, %sosrun
, and %runfile
to execute workflow in background.%rerun
and add magic %runfile
-r
to %save
to execute the cell after saving it.SoS 0.18.0
output_from
and named_output
to support named inputs and outputs, among other new features summarized in this ticket.group_by
, paired_with
etc for functions output_from
and named_output
.concurrent=True
as default for substep execution.stop_if
and replace it with done_if
and skip_if
sos_variable
to import shared variable in a stepSoS Notebook 0.18.0
SoS 0.9.16.10
SoS 0.9.16.0, SoS Notebook 0.9.16.0
SoS 0.9.15.1
SoS 0.9.14.10
sos_step()
target that matches multiple steps.SoS 0.9.14.3:
-p
to generate a summary report after the completion of workflow.sos run script -h
).SoS Notebook 0.9.14.4:
SoS Notebook 0.9.14.1
%revisions
magic to display revision history of the current document.SoS 0.9.14.1
SoS Notebook 0.9.13.4
%cd
now changes directory of all subkernelsSoS Notebook 0.9.12.12
SoS 0.9.12.11
zap()
to SoS path classes path
, paths
, file_target
, and sos_targets
SoS Notebook 0.9.12.11
%clear --class
SoS 0.9.12.9
active
of actions and tasks to accept conditions.~
) for SoS path types path
, paths
and file_targets
.SoS Notebook 0.9.12.9
SoS 0.9.12.3
SoS 0.9.11.3
stdout
and stderr
to redict output from script-executing actions.--append
to magic %capture
.SoS 0.9.11.2
python -m sos_notebook.install
to install sos
kernel to Jupyter.SoS 0.9.10.19
concurrent=True
to allow parallel execution of input groups.SoS Notebook 0.9.10.17
%capture
to capture output of cellsFAQs
Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis
We found that sos demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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