{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"Constructs, manipulates, and serializes time series data in JSON Time Series (JTS) specification format, with support for timestamped records containing values, quality codes, and annotations.","skillfed_tags":["timeseries","iot","data-serialization"],"use_cases":["Construct and export IoT sensor readings with timestamps, quality indicators, and metadata in JTS format.","Build time series datasets from measurement records and serialize them for downstream analysis or archival.","Manipulate timestamped data by inserting or modifying records within a TimeSeries object before output.","Aggregate multiple time series into a single JTS document for batch export or API submission.","Parse and work with temporal data that includes quality codes and annotations alongside values."],"what_it_does":"json-timeseries is a Python library for working with time series data in the JSON Time Series (JTS) specification format. It provides three main classes: TsRecord for individual timestamped data points (with optional value, quality code, and annotation fields), TimeSeries for grouping and managing related records with metadata like identifier, name, units, and data type, and JtsDocument for serializing one or more TimeSeries objects into JTS-compliant JSON output.\n\nThe library is designed for IoT and data logging scenarios where you need to construct, store, and exchange timestamped measurements. It depends only on python-dateutil for date handling, making it lightweight. The package targets Python 3.9+ and is actively maintained with no known vulnerabilities.","worth_installing":"Yes. The package is lightweight, actively maintained, permissively licensed, and fills a specific niche for JTS specification handling. Install friction is low, and there are no known security issues. Choose it if you need to work with time series data in JTS format; if you need general-purpose time series analysis (resampling, aggregation, statistical operations), verify whether this library or a complementary tool like pandas is the right fit."},"id":"json-timeseries","links":{"html":"https://skillfed.io/packages/json-timeseries","md":"https://skillfed.io/packages/json-timeseries.md","pypi":"https://pypi.org/project/json-timeseries/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-09-04","license_spdx":null,"license_treatment":"permissive","name":"json-timeseries","python_support":"supports_current","summary":"JSON-TimeSeries (JTS specification) handling library"},"popularity":{"monthly_downloads":101974,"position":12903,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.7"}