Doctrine DBAL Bulk Operations for selected database engines
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Updated
Jun 1, 2024 - PHP
Doctrine DBAL Bulk Operations for selected database engines
PHP - ETL (Extract Transform Load) data processing library
Advanced and Fast Data Transformation in R
SQL-like interface to tabular data structures
A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.
Extraction pipeline and analysis tools for Aperture Masking Interferometry mode of the last generation of instruments (ground-based and space).
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A light-weight, flexible, and expressive statistical data testing library
Data and tools for generating and inspecting OLMo pre-training data.
Kubernetes-native platform to run massively parallel data/streaming jobs
Python Stream Processing
The MDSplus data management system
Niamoto is a command-line application and library focused on processing and publishing botanical data
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A platform for building a digital personal image
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
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