{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"}],"enrichment":{"capability":"Literalai is a Python SDK for observability in applications, providing decorators to instrument code for monitoring and tracing execution.","skillfed_tags":["observability","tracing","instrumentation"],"use_cases":["Instrument Python functions to trace execution flow and monitor performance in AI or data pipelines","Collect observability data from application code and send it to a centralized Literal AI dashboard","Debug multi-step workflows by decorating functions to capture inputs, outputs, and timing","Monitor long-running Python applications by flushing telemetry via client.flush_and_stop()"],"what_it_does":"Literalai is a client library for integrating observability into Python applications by connecting to the Literal AI backend service. It provides decorators to instrument functions and track their execution for monitoring and debugging purposes.\n\nThe package requires an API key (set via LITERAL_API_KEY environment variable) to send telemetry to the Literal AI service. It has no runtime dependencies and is designed to be lightweight, but setup involves external configuration and assumes you have an active account with the Literal AI platform.","worth_installing":"Yes, if you are already using or planning to adopt Literal AI for observability. The package is straightforward to integrate and has no dependency overhead. However, the aging maintenance status (485 days since last release) and lack of Python version clarity warrant checking current project health before committing to a new observability platform dependency."},"id":"literalai","links":{"html":"https://skillfed.io/packages/literalai","md":"https://skillfed.io/packages/literalai.md","pypi":"https://pypi.org/project/literalai/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-04-16","license_spdx":null,"license_treatment":"permissive","name":"literalai","python_support":"unspecified","summary":"An SDK for observability in Python applications"},"popularity":{"monthly_downloads":455225,"position":6562,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.300"}