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SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy.
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards.
Construct is a python module for bit-level, symmetrical parsing and building of data structures. Complex constructs are formed by a hierarchy of less-complex constructs, as well as user-defined constructs.
Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
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xml.dom.easydom for python primarily behaves like any xml.dom.* you already use. Additionaly easydom provides operator overloadings which render xml processing descriptions more readable and hence less error-prone. See about 90% of your xml-code boosted.