pandas: data analysis toolkit for Python
pandas: data analysis toolkit for Python programmers. pandas supports reading and writing Parquet files using pyarrow. Several pandas core developers are also contributors to Apache Arrow.
Category: Big Data, Analytical Data Platforms, Data Science – Free Software
MapD: in-memory columnar SQL engine designed to run on GPUs
MapD: in-memory columnar SQL engine designed to run on GPUs. MapD supports Arrow for data ingest and data interchange via CUDA IPC handles. This work is part of the GPU Open Analytics Initiative
Fletcher: FPGA acceleration framework
Fletcher: Fletcher is an FPGA acceleration framework that can convert an Arrow schema into an easy-to-use hardware interface. The accelerator can request data from Arrow tables by supplying row indices. In turn, the interface...
Dremio: A self-service data platform.
Dremio: A self-service data platform. Dremio makes it easy for users to discover, curate, accelerate, and share data from any source. It includes a distributed SQL execution engine based on Apache Arrow. Dremio reads...
Dask: Python library for parallel and distributed execution of dynamic task graphs
Dask: Python library for parallel and distributed execution of dynamic task graphs. Dask supports using pyarrow for accessing Parquet files
Apache Parquet: A columnar storage format
Apache Parquet: A columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language. The C++ and Java implementation provide vectorized...
Apache Arrow: A cross-language development platform for in-memory data
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides...
MarketStore: Database server optimized for financial timeseries data
MarketStore is a database server optimized for financial timeseries data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed...
Detectron
Detectron is Facebook AI Research’s software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled...
DLTK: A medical imagining deep learning library built on TensorFlow.
Comes with prebuilt models for Fetal Brain Segmentation from MRI, and segmentation on cardiovascular magnetic resonance images. GitHub: https://github.com/DLTK/models Referencing and citing methods in the Model Zoo To find out how to reference each implementation,...