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MariaDB is a multi-user and multi-threaded SQL database server, designed as a drop-in replacement of MySQL.
SQLAlchemy-utils provides various utility functions and custom data types for SQLAlchemy. SQLAlchemy is an SQL database abstraction library for Python.
You might also want to install the following optional dependencies:
python-passlibpython-babelpython-cryptographypython-pytzpython-psycopg2python-furlpython-flask-babel
This package provides a Python interface to the Redis key-value store.
The DB::File module provides Perl bindings to the Berkeley DB version 1.x.
FreeTDS is an implementation of the Tabular DataStream protocol, used for connecting to MS SQL and Sybase servers over TCP/IP.
Tokyo Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. There is neither concept of data tables nor data types. Records are organized in hash table, B+ tree, or fixed-length array.
Valkey is a high-performance key-value datastore that supports a variety of workloads such as caching, message queues, and can act as a primary database.
PostgreSQL is a powerful object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video.
This package provides Guile bindings to the WiredTiger ``NoSQL'' database.
Perform basic numeric, textual and statistical operations on plain text files. Designed to work within standard pipelines without additional code.
Vnlog (pronounced vanillog) is a toolkit for manipulating tabular ASCII data with labelled fields using regular command-line tools.
uthash implements a hash table and a few other basic data structures as C preprocessor macros. It aims to be minimalistic and efficient: it's around 1,000 lines of code which, being macros, inline automatically.
Unlike function calls with fixed prototypes, macros operate on untyped arguments. Thus, they are able to work with any type of structure and key. Any C structure can be stored in a hash table by adding UT_hash_handle to the structure and choosing one or more fields to act as the key.
Coucal is an implementation of the Cuckoo hashing algorithm with a stash area using by default the MurmurHash hash function.
tllist is a typed linked list C header file only library implemented using pre-processor macros. It supports primitive data types as well as aggregated ones such as structs, enums and unions.
libcuckoo provides a high-performance, compact hash table that allows multiple concurrent reader and writer threads.
Zix is a C library of portability wrappers and data structures. It provides the following components:
ZixAllocator A customizable allocator.ZixBumpAllocator A simple realtime-safe bump-pointer allocator.ZixBTree A page-allocated B-tree.ZixHash An open-addressing hash table.ZixRing A lock-free realtime-safe ring buffer.ZixSem A portable semaphore wrapper.ZixThread A portable thread wrapper.ZixTree A binary search tree.zixgest.h Digest functions suitable for hashing arbitrary data.zix/filesystem.h Functions for working with filesystems.
zix/path.h Functions for working with filesystem paths lexically.
This library contains several hash-map implementations, similar in API to SGI's hash_map class, but with different performance characteristics. sparse_hash_map uses very little space overhead, 1-2 bits per entry. dense_hash_map is very fast, particularly on lookup. sparse_hash_set and dense_hash_set are the set versions of these routines. All these implementation use a hashtable with internal quadratic probing. This method is space-efficient -- there is no pointer overhead -- and time-efficient for good hash functions.
liburcu is a user-space Read-Copy-Update (RCU) data synchronisation library. It provides read-side access that scales linearly with the number of cores. liburcu-cds provides efficient data structures based on RCU and lock-free algorithms. These structures include hash tables, queues, stacks, and doubly-linked lists.
MARISA is a static and space-efficient trie data structure C++ library.
ssdeep computes and matches context triggered piecewise hashes (CTPH), also called fuzzy checksums. It can identify similar files that have sequences of identical bytes in the same order, even though bytes in between these sequences may be different in both content and length.
The robin-map library is a C++ implementation of a fast hash map and hash set using open-addressing and linear robin hood hashing with backward shift deletion to resolve collisions.
Four classes are provided: tsl::robin_map, tsl::robin_set, tsl::robin_pg_map and tsl::robin_pg_set. The first two are faster and use a power of two growth policy, the last two use a prime growth policy instead and are able to cope better with a poor hash function.
The Generic Data Structures Library (GDSL) is a collection of routines for generic data structures manipulation. It is a re-entrant library fully written from scratch in pure ANSI C. It is designed to offer for C programmers common data structures with powerful algorithms, and hidden implementation. Available structures are lists, queues, stacks, hash tables, binary trees, binary search trees, red-black trees, 2D arrays, permutations and heaps.
libdivsufsort is a software library that implements a lightweight suffix array construction algorithm. This library provides a simple and an efficient C API to construct a suffix array and a Burrows-Wheeler transformed string from a given string over a constant-size alphabet. The algorithm runs in O(n log n) worst-case time using only 5n+O(1) bytes of memory space, where n is the length of the string.
The Succinct Data Structure Library (SDSL) is a powerful and flexible C++11 library implementing succinct data structures. In total, the library contains the highlights of 40 research publications. Succinct data structures can represent an object (such as a bitvector or a tree) in space close to the information-theoretic lower bound of the object while supporting operations of the original object efficiently. The theoretical time complexity of an operation performed on the classical data structure and the equivalent succinct data structure are (most of the time) identical.