Saravanan666/pypi-org huggingface dataset:
Package: toolman
See the source for this project on ourGitHub pageInstallpipinstalltoolmanModulesmist_utils.pymiscellaneous utility functions including data I/O and processingRead/write different formats of files in one function:importtoolmanastmdata=tm.misc_utils.load_file(file_name)tm.misc_utils.save_file(file_name,data)Currently support extensions including:.npy,.pkl,.txt,.csv,.jsonand commonly used image formats.Argument parser, parse nested argument list:importsysimportargparseimporttoolmanastmparser=argparse.ArgumentParser()args,extras=parser.parse_known_args(sys.argv[1:])cfg_dict=tm.misc_utils.parse_args(extras)vis_utils.pyMatplotlib utility functions for visualizationDisplay images in side by side with axis linkedimporttoolmanastmfig1=tm.misc_utils.load_file(img_name_1)fig2=tm.misc_utils.load_file(img_name_1)tm.vis_utils.compare_figures([fig1,fig2],(1,2),fig_size=(12,5))Display barplotsimporttoolmanastmdata=np.random.random((3,4))labels=['group 1','group 2','group 3']xticks=['cluster 1','cluster 2','cluster 3','cluster 4']tm.vis_utils.compare_bars(data,labels,xticks)img_utilsimage specific utility functionspytorch_utilspytorch specific utility functionsprocess_blockA processing unit that do certain operations only if it has never done before. This is helpful avoid duplicate
executing time consuming jobs.importtoolmanastmdeffoo(cnt_len):cnt=0foriinrange(cnt_len):cnt+=1returncntpb=tm.process_block.ProcessBlock(foo,file_dir)pb.run(force_run=False,cnt_len=100)
Package: toolnew
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew1
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew11
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew12
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew13
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew14
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew30
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew32
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew4
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolnew45
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: toolong
ToolongA terminal application to view, tail, merge, and search log files (plus JSONL).🎬 Viewing a single fileKeep calm and log filesSeeToolong on Calmcode.iofor a calming introduction to Toolong.What?Live tailing of log files.Syntax highlights common web server log formats.As fast to open a multiple-gigabyte file as it is to open a tiny text file.Support for JSONL files: lines are pretty printed.Opens .bz and .bz2 files automatically.Merges log files by auto detecting timestamps.Why?I spent a lot of time in my past life as a web developer working with logs, typically on web servers via ssh.
I would use a variety of tools, but my goto method of analyzing logs was directly on the server with *nix tools like astail,less, andgrepetc.
As useful as these tools are, they are not without friction.I builttoolongto be the tool I would have wanted back then.
It is snappy, straightforward to use, and does a lot of thegrunt workfor you.ScreenshotsVideos🎬 Merging multiple (compressed) files🎬 Viewing JSONL files🎬 Live Tailing a fileHow?Toolong is currently best installed withpipx.pipxinstalltoolongYou could also install Toolong with Pip:pipinstalltoolong[!NOTE]
If you use pip, you should ideally create a virtual environment to avoid potential dependancy conflicts.However you install Toolong, thetlcommand will be added to your path:tlIn the near future there will be more install methods, and hopefully your favorite package manager.CompatibilityToolong works on Linux, macOS, and Windows.Opening filesTo open a file with Toolong, add the file name(s) as arguments to the command:tlmylogfile.logIf you add multiple filenames, they will open in tabs.Add the--mergeswitch to open multiple files and combine them in to a single view:tlaccess.log*--mergeIn the app, pressf1for additional help.Who?Thisguy. An ex web developer who somehow makes a living writing terminal apps.HistoryIf youfollow meon Twitter, you may have seen me refer to this app asTailless, because it was intended to be a replacement for atail+lesscombo.
I settled on the name "Toolong" because it is a bit more apt, and still had the same initials.DevelopmentToolong v1.0.0 has a solid feature set, which covers most of my requirements.
However, there is a tonne of features which could be added to something like this, and I will likely implement some of them in the future.If you want to talk about Toolong, find me on theTextualize Discord Server.ThanksI am grateful for theLogMergerproject which I referenced (and borrowed regexes from) when building Toolong.AlternativesToolong is not the first TUI for working with log files. Seelnavas a more mature alternative.
Package: tool-registry-client
Tool Registry Client Library for PythonOverviewTBAThis Python package is automatically generated by theOpenAPI Generatorproject:API version: 0.1.0Package version: 1.0.0Build package: org.openapitools.codegen.languages.PythonClientCodegen
For more information, please visithttps://github.com/Sage-Bionetworks/tool-registry-schemasRequirements.Python 2.7 and 3.4+Installation & Usagepip installIf the python package is hosted on a repository, you can install directly using:pipinstallgit+https://github.com/GIT_USER_ID/GIT_REPO_ID.git(you may need to runpipwith root permission:sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git)Then import the package:importtoolregistryclientSetuptoolsInstall viaSetuptools.pythonsetup.pyinstall--user(orsudo python setup.py installto install the package for all users)Then import the package:importtoolregistryclientGetting StartedPlease follow theinstallation procedureand then run the following:from__future__importprint_functionimporttimeimporttoolregistryclientfromtoolregistryclient.restimportApiExceptionfrompprintimportpprint# Defining the host is optional and defaults to http://example.com/api/v1# See configuration.py for a list of all supported configuration parameters.configuration=toolregistryclient.Configuration(host="http://example.com/api/v1")# Enter a context with an instance of the API clientwithtoolregistryclient.ApiClient(configuration)asapi_client:# Create an instance of the API classapi_instance=toolregistryclient.ToolApi(api_client)tool=toolregistryclient.Tool()# Tool |try:# Add a toolapi_response=api_instance.create_tool(tool)pprint(api_response)exceptApiExceptionase:print("Exception when calling ToolApi->create_tool:%s\n"%e)Documentation for API EndpointsAll URIs are relative tohttp://example.com/api/v1ClassMethodHTTP requestDescriptionToolApicreate_toolPOST/toolsAdd a toolToolApilist_toolsGET/toolsList the tools in the registryDocumentation For ModelsErrorPageOfToolsPageOfToolsAllOfResponsePageMetadataResponsePageMetadataLinksToolDocumentation For AuthorizationAll endpoints do not require authorization.Authorthomas.schaffter@sagebionetworks.org
Package: toolrunner
ToolrunnerAutomating standard procedureToolrunner is a small python module created to automate commands/tools, collect their respective outputs into one place, and generally expedite the "initial triage" phase of malware analysis. It's basically just a big wrapper around the subprocess module. Configurations can be loaded from or saved to python dictionaries, making it easy to switch between whatever sets of tools are most applicable to the situation.Basic UsageSeedocumentationToolrunner's most practical use (and the inspiration behind its development) is starting/running the standard tools and processes one
might typically employ during the static analysis of an exectutable. The alternative is manually clicking/running them all, redirecting
outputs, copy/pasting file paths, typing commands, etc. Those clicks add up over time.importtoolrunnertarget_file=toolrunner.get_argv()# Drag/drop the file, retrieve path via argv[1]tools=toolrunner.Tools(target_file,"tool_outputs")# Define output directory (CWD, otherwise)tools.cli("capa details",r"C:\Users\IEUser\Desktop\capa.exe",["-vv"])tools.cli("floss strings",r"C:\Users\IEUser\Desktop\floss.exe")tools.gui("IDA Pro",r"C:\Program Files\IDA Freeware 8.0\ida64.exe")tools.gui("Detect it easy",r"C:\Users\IEUser\Desktop\ToolDownloads\die_win64_portable_3.06\die.exe")tools.run_all()# GUI tools run first, and in their own processtools.print_config()input("\nPress enter to continue...")# So the console doesn't just immediatly exitDetectItEasy and IDA Pro are loaded with our file; reports on the file's capabilities and strings are stored in/tool_outputs.
Theprint_config()method prints the dictionary of the tool information we just manually provided in a readable format. So we can copy/paste that and perform the same actions like so:importtoolrunnerstatic_cfg={"cli":{"capa summary":['C:\\Users\\IEUser\\Desktop\\capa.exe'],"capa details":['C:\\Users\\IEUser\\Desktop\\capa.exe','-vv'],"floss strings":['C:\\Users\\IEUser\\Desktop\\floss.exe'],},"gui":{"IDA Pro":['C:\\Program Files\\IDA Freeware 8.0\\ida64.exe'],"Detect it easy":['C:\\Users\\IEUser\\Desktop\\ToolDownloads\\die_win64_portable_3.06\\die.exe'],},}tools=toolrunner.Tools(toolrunner.get_argv(),"static_reports",config=static_cfg)tools.run_all()input("\nPress enter to continue...")Dictionaries in this format can be used as the configuration fortoolrunner.Toolsobjects, and edited to suit whatever your desires may be.Linux equivilenthereKnown Issues & TODOIf a tool changes the console's text color and doesn't change it back, it's just gonna stay that wayUse colorama
Package: tools-automator
Tools AutomatorThat project is a CLI (Command Line Interface) to help remote tools configuration with ansible. Contains ansible playbooks compatible with RedHat and Ubuntu servers. Can be used to automate tools deployments.To use this CLI, must be provisioned ssh connections to allow ssh connections with ansible. Can be used ssh-copy-id, to add own certificate on remote machine or another method to allow ssh connections with ansible.Example:$ ssh-copy-id <user>@<ip>RequiredBefore use CLI, must be install tools-automator from PIP:$pipinstalltools-automatorMYSQL Server - Single Node$create_mysql--archsingle_node--ssh-useruserDatabasehost:1.2.3.4#Server IPRootdatabasepassword:#Define Root databaseRepeatforconfirmation:#Confirm passwordNOTE: You can check all options with create_mysql --help