{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/9"}],"enrichment":{"capability":"Provides legacy SQLite storage backend for the Everest optimizer, enabling persistent data management for optimization workflows.","skillfed_tags":["legacy","optimization","scientific-computing"],"use_cases":["Checkpoint and restore optimization runs in Everest workflows using SQLite as a lightweight persistent store.","Legacy projects that depend on the original Seba storage interface and cannot migrate to newer backends.","Scientific computing pipelines that need simple file-based data persistence without external database infrastructure.","Prototyping optimization algorithms where SQLite's simplicity outweighs the need for a full database server."],"what_it_does":"Seba-sqlite is a legacy SQLite storage module designed to work with the Everest optimizer, a scientific computing framework. It provides a persistent backend for storing and retrieving optimization data using SQLite, allowing workflows to checkpoint and resume computations. The package depends on numpy and supports Python 3.8 through 3.11.\n\nThe package is classified as Production/Stable but has been dormant with no recent updates. It is released under GPLv3, which imposes copyleft obligations on any code that uses or modifies it. The low install friction and pure-Python distribution make it straightforward to add to an environment, but the lack of active maintenance and the legacy designation suggest it may not receive bug fixes or compatibility updates for newer Everest versions.","worth_installing":"Yes-with-conditions. Install only if you are maintaining or extending an existing Everest-based project that already uses this storage backend. The low install friction and lack of security vulnerabilities make it safe to add, but the dormant maintenance status and legacy designation mean it is not suitable for new projects\u2014evaluate whether a newer Everest storage backend or alternative persistence layer would better serve your needs."},"id":"seba-sqlite","links":{"html":"https://skillfed.io/packages/seba-sqlite","md":"https://skillfed.io/packages/seba-sqlite.md","pypi":"https://pypi.org/project/seba-sqlite/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-11-22","license_spdx":null,"license_treatment":"copyleft","name":"seba-sqlite","python_support":"supports_current","summary":"Legacy sqlite storage for Seba"},"popularity":{"monthly_downloads":77758,"position":14498,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.2"}
