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postgresql-15-tdigest
t-digest algorithm for on-line accumulation of rank-based statistics
This PostgreSQL extension implements t-digest, a data structure for on-line
accumulation of rank-based statistics such as quantiles and trimmed means.
The algorithm is also very friendly to parallel programs.
postgresql-15-pg-qualstats
PostgreSQL extension to gather statistics about predicates.
This extensions tracks WHERE clauses predicates and JOIN predicates.
Statistics will report whether the predicate was evaluated as an index scan or
not, how many time the expression appeared, how many times the operator was
executed and how filtering the expression is. If pg_stat_statements is
enabled, it can also track to which statements the predicate belongs.
postgresql-15-dirtyread
Read dead but unvacuumed tuples from a PostgreSQL relation
The pg_dirtyread extension provides the ability to read dead but unvacuumed
rows from a PostgreSQL relation.
postgresql-15-partman
PostgreSQL Partition Manager
pg_partman is a PostgreSQL extension to create and manage both time-based and
serial-based table partition sets. Sub-partitioning is also supported. Child
table & trigger function creation is all managed by the extension itself.
Tables with existing data can also have their data partitioned in easily
managed smaller batches. Optional retention policy can automatically drop
partitions no longer needed. A background worker (BGW) process is included to
automatically run partition maintenance without the need of an external
scheduler (cron, etc) in most cases.
python3-mbedtls
Cryptographic library for Python with Mbed TLS backend
mbedtls is an open source library that implements lightweight and
efficient solutions for security protocols, including TLS (widely
used in security between network communications)
python3-autoray
Lightweight Python AUTOmatic-arRAY library for abstracting tensor operations
Primarily it provides an automatic dispatch mechanism that
means you can write backend agnostic code that works for
numpy, pytorch, jax, cupy, dask, autograd, tensorflow,
sparse, mars, etc., and indeed any library that provides a
numpy-ish API, even if it knows nothing about autoray.