Subcategories
Packages
Integrates Redis as a vector store backend for LlamaIndex, enabling storage and retrieval of vector embeddings in Redis for RAG and semantic search applications.
Install only if you intend to use Redis as your vector store backend; it is not useful standalone without LlamaIndex and a Redis instance.
Pyadomd provides a Python interface to query SQL Server Analysis Services (SSAS) Tabular models and Azure Analysis Services using ADOMD.NET, returning results that integrate with pandas DataFrames.
Provides Rust-accelerated implementations of performance-critical utility functions for the ormar async ORM, automatically used by ormar when installed.
Provides PostgreSQL CIText field types for Django models, enabling case-insensitive text and email fields that delegate matching to the database.
SeqRepo stores and retrieves biological sequences in a non-redundant, compressed, indexed repository, supporting fast slicing and multiple sequence identifiers including RefSeq accessions, Ensembl IDs, and hash-based aliases.
Low-level Python client for Elasticsearch 5.x that handles connection management, request translation, and cluster communication with configurable load balancing and node discovery.
However, if you are using a newer Elasticsearch version, do not install this—it will not work.
zope.index provides indexing structures for Zope catalogs, including field, keyword, topic, and text indices with support for lexicon, splitter, and normalizer customization.
However, verify the ZPL-2.1 license implications for your project first, as license treatment is marked unclear.
Provides safer, production-ready Django migration operations for PostgreSQL, including concurrent index management, constraint handling, and timeout controls to prevent long-running migrations from blocking production databases.
A pure Python client library for connecting to and querying SAP HANA databases using the DBAPI 2.0 interface, supporting SQL execution, cursor operations, and LOB handling.
HistoryDict provides a persistent dictionary backed by SQLite that tracks the complete history of value changes for each key, allowing you to retrieve both current and past values.
HappyBase is a Python library that provides a developer-friendly interface to Apache HBase, enabling you to read, write, and manage data in HBase tables through straightforward Python code.
Applies versioned SQL migrations to ClickHouse databases from the CLI, Python code, or CI/CD pipelines, with support for multi-statement files and cluster-aware state tracking.
A Python client for Neo4j Graph Data Science that lets you project graphs, run algorithms, and build machine learning pipelines using pure Python code instead of Cypher.