= Commands - bruno-beloff/scs_analysis GitHub Wiki
docs > software repositories > scs_analysis
Command groups
Command-line utilities within the scs_analysis package fall into the following categories:
Authentication
These utilities are used to establish the identity of a user or device.
Security relationships
These utilities are used to establish the access rights for a user, or visibility of a device and its data topics.
- organisation_devices
- organisation_path_roots
- organisation_user_paths
- organisation_users
- organisations
Messaging client configuration
These utilities are used to establish the identity and access rights of the hosts system on either Amazon Web Services (AWS) data infrastructure.
Time
These utilities are used to report the date and time and manipulate time representation.
Network data sources
These utilities are used to receive data from processes on either the local host or the local area network.
Alerts
These utilities are used to trigger automated emails in a range of conditions.
Subscribing to / publishing live data
These utilities are used to subscribe to data messaging topics on either Amazon Web Services (AWS) data infrastructure.
Device control
These utilities are used to establish command / response sessions over device control messaging topics on either Amazon Web Services (AWS) data infrastructure.
Retrieving historic data
These utilities are used to retrieve stored data from either Amazon Web Services (AWS) data infrastructure.
File-based data management
These utilities are used to collate, store and retrieve data in comma-separated value (CSV) format, and to translate between CSV and JSON formats.
Manipulating nodes within JSON documents
These utilities are used to modify JSON documents by either wrapping documents in topic-identifying tags, or accessing nodes within documents.
Filtering and aggregating data
These utilities are used to apply simple numerical methods to streams of JSON data documents.
- csv_collation_summary
- csv_collator
- csv_segmentor
- gas_response_summary
- sample_aggregate
- sample_average
- sample_collator
- sample_concentration
- sample_distance
- sample_duplicates
- sample_error
- sample_interval
- sample_low_pass
- sample_max
- sample_median
- sample_mdape
- sample_midpoint
- sample_min
- sample_noise
- sample_nullify
- sample_range
- sample_regression
- sample_slope
- sample_sort
- sample_stats
- sample_subset
Charting
These utilities are used to generate Matplotlib charts from streams of JSON data documents.
Estate management
These utilities are used to find the system configuration of remote devices.