Reverse Dependencies of dask

The following projects have a declared dependency on dask:

• copernicus-marine-client — no summary
• copernicusmarine — no summary
• coppafish — coppaFISH software for Python
• cosmap — no summary
• cotengra — Hyper optimized contraction trees for large tensor networks and einsums.
• coupling-metrics — Calculate various state-of-the-art land-atmosphere coupling metrics
• covigator — no summary
• cowait — Cowait is a framework for creating containerized workflows with asynchronous Python.
• crate — CrateDB Python Client
• cratedb-toolkit — CrateDB Toolkit
• cronomaxrf — Python package to read and convert the Crono MA-XRF HDF5 data file format
• crossflow — A Python workflows system
• cryohub — IO hub for Cryo-EM, Cryo-ET and subtomogram averaging data.
• cspot — CELL SPOTTER (CSPOT): A scalable framework for automated processing of highly multiplexed tissue images
• cubed — Bounded-memory serverless distributed N-dimensional array processing
• cugg — Modules for LD computing, liftover and region extraction
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• cv-py — Collection of tools and techniques to kick-start analysis of the COVID-19 Research Challenge Dataset
• cvstudio — Computer vision projects annotation tools
• czitools — Tools to simplify reading CZI (Carl Zeiss Image) meta and pixel data
• d6tflow — For data scientists and data engineers, d6tflow is a python library which makes building complex data science workflows easy, fast and intuitive.
• da-fits-warp — Warp catalogues and images to remove the distorting affect of the ionosphere.
• dafits — Read FITS files in Dask Arrays.
• daglib — Lightweight DAG composition framework
• dagster-dask — Package for using Dask as Dagster's execution engine.
• dalila — A library for dictionary learning decomposition
• DaMa-ML — A framework for data management and is used to do data science and machine learning's pipelines
• dantro — Handle, transform, and visualize hierarchically structured data
• daops — daops - data-aware operations
• darwin-handlers — no summary
• dask — Parallel PyData with Task Scheduling
• dask-avro — Avro reader for Dask.
• dask-awkward — Awkward Array meets Dask
• dask-azureblobfs — Azure Blob Storage Backend for Dask
• dask-bigquery — Dask + BigQuery integration
• dask-cassandra-loader — A data loader which loads data from a Cassandra table into a Dask dataframe. It allows partition elimination, selection and projections pushdown.
• dask-checkpoint — Customizable caching of Dask-delayed.
• dask-cloudprovider — Native Cloud Provider integration for Dask
• dask-ctl — A set of tools to provide a control plane for managing the lifecycle of Dask clusters.
• dask-databricks — no summary
• dask-deltalake — Dask + Deltalake
• dask-deltasharing — A library for accessing tables from Delta Sharing as Dask DataFrames
• dask-deltasharing1111 — A library for accessing tables from Delta Sharing as Dask DataFrames
• dask-deltatable — Dask + Delta Table
• dask-dirac — DIRAC Executor for Dask
• dask-elasticsearch — Elasticsearch reader for Dask.
• dask-elk — Dask connection with Elasticsearch
• dask-expr — High Level Expressions for Dask
• dask-fly — Deploy Dask on Fly.io
• dask-gateway — A client library for interacting with a dask-gateway server
• dask-geopandas — Parallel GeoPandas with Dask
• dask-glm — Generalized Linear Models with Dask
• dask-grblas — Python interface to GraphBLAS and distributed via Dask
• dask-histogram — Histogramming with Dask.
• dask-igzip — dask chunked read_text on gzip file
• dask-image — Distributed image processing
• dask-jobqueue — Deploy Dask on job queuing systems like PBS, Slurm, SGE or LSF
• dask-kubernetes — Native Kubernetes integration for Dask
• dask-lightgbm — LightGBM distributed training on Dask
• dask-lsf — APIs to enable lsf jobs from python using dask
• dask-lxplus — no summary
• dask_memusage — Low-impact, task-level memory profiling for Dask.
• dask-ml — A library for distributed and parallel machine learning
• dask-mongo — Dask + Mongo intergration
• dask-ms — xarray Dataset from CASA Tables
• dask-ngs — Scalable access to bioinformatics data with Dask.
• dask-optuna — Scaling Optuna with Dask
• dask-pytorch — dask-pytorch has been renamed dask-pytorch-ddp
• dask-pytorch-ddp — library for setting up torch DDP on a dask cluster
• dask-quik — function to make working in dask_cudf and dask quik-er
• dask-rasterio — Read and write rasters in parallel using Rasterio and Dask
• dask-regionprops — Compute region properties using dask delayed and dataframe
• dask-remote-jobqueue — Remote jobqueu implementation for DASK: create a scheduler on a remote job queue cluster
• dask-sas-reader — Read SAS files into a Python Dask DataFrame.
• dask-searchcv — Tools for doing hyperparameter search with Scikit-Learn and Dask
• dask-snowflake — Dask + Snowflake intergration
• dask-spark — Interactions between Dask and Spark
• dask-sql — SQL query layer for Dask
• dask-stitch — Linear blend stitching for map_overlap calls in dask
• dask-tensorflow — Interactions between Dask and Tensorflow
• dask-traj — Parallel MDTraj, using Dask
• dask-xgboost — Interactions between Dask and XGBoost
• dask-yarn — Deploy dask clusters on Apache YARN
• dask4dvc — Use dask to run the DVC graph
• daskernetes — Native Kubernetes integration for Dask
• daskperiment — A lightweight tool to perform reproducible machine learning experiment using Dask.
• daskqueue — daskqueue distributed queue package
• data-science-toolbox — Various code to aid in data science projects for tasks involving data cleaning, ETL, EDA, NLP, viz, feature engineering, feature selection, model validation, etc.
• databroker — Unification of NSLS-II data sources
• datacube — An analysis environment for satellite and other earth observation data
• datacube-alchemist — Batch process Open Data Cube datasets
• datafaucet — Productivity Utilities for Data Science with Python Notebooks
• dataflow-gegham-test — Snark Hub
• dataframe-handlers — A package for handling dataframes with optional backends.
• datapact — "improve how we work with evolving data"
• dataprep — Dataprep: Data Preparation in Python
• datasetinsights — Synthetic dataset insights.
• datasett — no summary
• ddc-indices — Package for calculating meteorological indices
• ddc-utility — Package for retrieving DDC datasests